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string: '{"id":"f3dc29da-0481-4f3b-8110-4c07260fca67","doi":"https://doi.org/10.59350/9gfjs-pey70","url":"https://flavoursofopen.science/grundlagen-fur-die-entwicklung-einer-open-scholarship-strategie","title":"Grundlagen
für die Entwicklung einer Open Scholarship-Strategie","summary":"Versionshistorie
Version 1.0 — 16. Oktober 2017 – Erste Version des Dokuments. Version 1.1
— 06. Juni 2018 – Website erstellt.","content_html":"\n
Versionshistorie
\n\n\n\n
\n
Version 1.0 — 16. Oktober
2017 – Erste Version des Dokuments.
\n\n\n\n
Version 1.1 — 06. Juni
2018 – Website erstellt.
\n\n\n\n
Version 1.2 — Vervollständigter erster
Entwurf (30. Juli 2018)
\n\n\n\n
Version 2.1 — Vollständig überarbeitete
zweite Version (31. Januar, 2019), in englischer Sprache veröffentlicht unter
DOI 10.31222/osf.io/b4v8p,
auf deutsch veröffentlicht unter DOI 10.31235/osf.io/hu9sj
Der
Länge des vorliegenden Strategiedokuments Rechnung tragend wurde zudem ein
IMMEDIATE ACTION PLAN / SOFORTMAßNAHMENPLAN
bereitgestellt, der die aus Sicht der Autor*innen dringendsten Handlungsfelder
mit Blick auf eine zukünftige Weiterentwicklung herausstellt.
\n
\n\n\n\n\n\n\n\n
1. Zweck dieses Dokuments
\n\n\n\n
Dieses Dokument
möchte einen möglichst breiten Konsens zur Findung einer internationalen Strategie
zur Implementierung von Open
Scholarship finden, die sowohl den Ansprüchen verschiedener nationaler
und regionaler Communities gerecht werden kann, aber auch global funktioniert.
\n\n\n\n
Forschung
kann idealisiert als ein inspirierender Prozess gesehen werden, um unser kollektives
Wissen zum Nutzen der gesamten Menschheit weiterzuentwickeln. Die aktuelle
Forschungspraxis sieht sich jedoch im aktuellen Prozess der Adaption an die
digitale Welt noch mit einer Reihe von Spannungen und Konflikten konfrontiert,
die sicherlich teilweise auf Differenzen zwischen dem Ideal einer wissenschaftl.
Commons-Community und dem Alltag des traditionell-hochkompetitiven Wissenschaftssystems
liegen mag und teilweise auf die sowieso schon bestehenden Herausforderungen
durch die Veränderung des Wissenschaftssystems inkl. Infrastruktur hin zu
digitalen Lösungen. Das, was gemeinhin als Open Scholarship bezeichnet
wird, ist hier als Ansatz gedacht, moderne Forschungs- und Lehr-/Lernpraktiken
auf diese digitale Welt auszurichten. Wir schlagen hier keine normative Definition
von Open Scholarship vor, sondern wollen anerkennen, dass es sich dabei um
einen holistischen Begriff handelt, der das ganze Spektrum wissenschaftlicher
Disziplinen und damit einhergehender, sich unterscheidender Prinzipien und
Praktiken umfasst, die in anderen Kontexten u.a. auch als Open Science, Open
Research oder Digital Humanities bezeichnet werden (mehr dazu in Punkt
3). Wir wählen den Begriff “Open Scholarship”, um diese Aspekte in einem
universellen und konstruktiven Sinne inklusiv einzubinden. (Wenn wir hier
verkürzt mancherorts den Begriff der Forschung verwenden, ist dies stets den
historischen Entwicklungen Rechnung tragend und als verkürzt für den gesamten
Life Cycle von Wissenschaft, Forschung und Lehre.)
\n\n\n\n
Zweck dieses
Dokuments ist es, eine präzise Analyse des aktuellen Standes der weltweiten
Open Scholarship-Bewegung bereitzustellen: dies wird eine Auseinandersetzung
mit Fragen nach gemeinsamen Gedankenstränge, nach Stärken der Bewegung und
nach Potential und beinhalten. Abschließend wird dargestellt, wie wir als
global vernetzte Gemeinschaft effizienter zusammenarbeiten können, um die
wichtigsten strategischen Prioritäten zu erkennen und gemeinsam voranzubringen.
Dieses Dokument wurde von den Foundations for OER Strategy Development und der Arbeit
der FORCE11 Scholarly Commons Working Group inspiriert und
durch eine offene Arbeitsgruppe gemeinsam kollaborativ entwickelt.
\n\n\n\n
Wir
hoffen, dass dieses Dokument als eine Grundlage für weiteren Austausch, Diskussionen
und sich daraus entwickelnden Initiativen zur Umsetzung wirksamer Strategien
dienen kann, um die Integration von Open Scholarship-Praktiken in eine sich
entwickelnde, moderne, digitale Forschungskultur gemeinsam voranzubringen.
Dadurch erhoffen wir uns, die Reichweite und Wirkung von Open Scholarship
in einem globalen Kontext ausweiten und verstärken zu können, um damit sicherzustellen,
dass es wirklich offen für alle ist. Wir hoffen auch, dass sich dieses
Dokument im Laufe der zahlreichen Diskussionen über Open Scholarship weiterentwickeln
und dazu beitragen wird, nützliche Erkenntnisse sowohl für die globale Koordination
der Sache, als auch für direktes Handeln vor Ort zu liefern. Wir glauben,
dass dies ein wichtiger Schritt vorwärts ist, um Open Scholarship zur Norm
werden lassen zu können.
\n\n\n\n
Letztendlich erwarten wir, dass sich
die Auswirkungen einer weit verbreiteten Übernahme von Open Scholarship vielfältig
äußern werden. Wir erhoffen uns, dass neuartige Forschungspraktiken das Innovationstempo
erhöhen und damit wichtige Industriezweige weltweit stimulieren können. Durch
Open Scholarship wäre auch eine Zunahme des Vertrauens der Öffentlichkeit
in die Wissenschaft möglich, da Transparenz im Wissenschaftsprozess damit
normativer wird. Daher erwarten wir, dass das Interesse an Open Scholarship
aufgrund seines inhärenten Einflusses sowohl auf die Zivilgesellschaft als
auch die Weltwirtschaft in Zukunft deutlich zunehmen wird.
\n\n\n\n
2.
Strategie
\n\n\n\n
\n
Unter Strategie wird in
der Regel die Festlegung von Zielen, die Definition von Maßnahmen zur Erreichung
dieser Ziele sowie die Mobilisierung von Ressourcen verstanden, welche zur
Durchführung dieser Maßnahmen nötig sind. Eine Strategie beschreibt, wie die
Ziele mit entsprechenden Mitteln (Ressourcen) erreicht werden können.
Um die bestehenden Herausforderungen
zu meistern und unsere gesteckten Ziele zu erreichen sollten wir uns auf unsere
gemeinsamen Stärken besinnen und auf diesen aufbauen. Im Folgenden haben wir
drei zeitliche Hauptkomponenten (kurz-, mittel- und langfristig) einer Gesamtstrategie
identifiziert, die als direkte Handlungsvorschläge auf individueller, Gruppen-
und institutioneller sowie nationaler (oder höherer) Ebene genutzt werden
können. Es muss hier betont werden, dass mit diesen Vorschlägen das komplexe
Wissenschaftssystem und seine zahlreichen Verknüpfungen und Abhängigkeiten
nicht in vollständigem Umfang abgebildet werden kann. Daher erachten wir es
als notwendig, dass sich die unterschiedlichen Wissenschaftsdisziplinen auch
selbst auf ihren jeweiligen Ebenen damit auseinandersetzen, welche Aktivitäten
in den entsprechenden Fachkulturen angemessen erscheinen. Hierzu kann diese
Strategie als Basis für eine konstruktive Auseinandersetzung in der eigenen
Fachkultur und darüber hinaus dienen.
\n\n\n\n
Daher besteht eines der
grundlegenden Ziele dieser Strategie darin, die Ausformung von Communities
zu fördern, die sich gegenseitig durch gemeinsames, verteiltes und kollaboratives
Lernen (bspw. über den Open
Science MOOC) weiterbilden und Wissen zu aktuellen Entwicklungen in der
Welt des Open Scholarship austauschen. Diese Communities haben unserer Ansicht
nach den direktesten Einblick in die spezifischen Herausforderungen und können
daraus direkt anwendbare Handlungsvorschläge generieren, um diese Herausforderungen
zu meistern. Aus diesen Handlungsvorschlägen wiederum können mittelfristig
neue Perspektiven auf die unterschiedlichen hierarchischen Ebenenen generiert
werden, die dann in Entscheidungsfindungs-Prozesse einfließen können.
\n\n\n\n
Wir
stellen fest, dass diese Strategie aufgrund der Vielfalt der Akteure und Stakeholder
sowie unterschiedlicher Perspektiven, Praktiken und Interessen kein Grundkonsensdokument
sein kann. Daher wird die Priorisierung der verschiedenen Aspekte aus unterschiedlichen
Perspektiven diskutiert. Eine Wirksamkeit wird sich dann einstellen, sobald
Einzelpersonen und Communities verschiedene Teile dieser Strategie in ihren
jeweiligen Kontexten entlang der Veränderung kultureller Normen hin zu offeneren
Gegebenheiten realisieren können.
\n\n\n\n
In der Tat sehen viele den
Fortschritt der Open Scholarship-Bewegung in den vergangenen zwei bis Jahrzehnten
als weitgehend substanzlos an; ein Faktor, der sicherlich auch mit einem Mangel
an strategischer Planung und entsprechend gesteuerter Umsetzung zu tun hat.
\n\n\n\n
Wir
stellen ebenso fest, dass diese Strategie nur auf Informationen basieren kann,
die uns als Kollektiv zum aktuellen Zeitpunkt vorliegen, und es ist sehr wahrscheinlich,
dass es noch zahlreiche Initiativen, Policies und Programme, Tools und Plattformen
gibt, die wir ungewollt übersehen haben. Ebenso kann es gut sein, dass schon
bestehende Strategien hier nicht in Betracht gezogen wurden. Nichtsdestotrotz
wollen wir mit diesem Dokument versuchen, unseren Strategieanansatz nach bestem
Wissen und Gewissen mit Fakten und Argumenten zu untermauern; die entsprechenden
Diskussionen dazu sind unter dem Strategie-Abschnitt in Sektion 5 zu finden.
Beachte,
dass die folgenden Elemente der Strategie in die sechs Hauptkategorien der
Grafik (Suche, Analyse, Schreiben, Publizieren, Outreach und Assessment) unterteilt
ist, sofern relevant.
\n\n\n\n
Suche
\n\n\n\n
\n
Suche
nach vorhandenen offenen Datensätzen, die Du weiterverwenden / remixen kannst,
anstatt selbst neue Datensätze zu erstellen.
\n\n\n\n
Erwäge die Nutzung
und Unterstützung offenerer Suchmaschinen wie Open Knowledge Maps anstelle der Nutzung proprietärer
Dienste.
\n\n\n\n
Stelle sicher, dass Deine Forschungsergebnisse leicht
auffindbar und entweder in Zeitschriften, Websites oder anderen Repositorien
veröffentlicht und mit entsprechenden Identifikatoren und Metadaten versehen
sind.
\n\n\n\n
Nutze RSS-Reader wie Feedly, um Nachrichten und Forschungsupdates aus einer
Reihe von Quellen einfach zusammenzufassen.
\n
\n\n\n\n
Analyse
\n\n\n\n
\n
Verfolge
einen breit angelegten Ansatz für die Vielfalt offener wissenschaftlicher
Forschungs- und Bildungspraktiken (Practices of Open Science/Scholarship).
Vgl. dazu bspw. die FOSTER Open Science Taxonomy.\n
Nutze Open Source-Software für die Durchführung
von Forschung und Lehre und dokumentiere diese entsprechend, so dass die computerisierte
Verarbeitung von der Wissenschaftscommunity überprüft werden kann, und so,
dass die verwendeten Werkzeuge für alle verfügbar sind, um die Produktivität
und Zusammenarbeit zu erhöhen. Zur Unterscheidung zwischen open, free, gratis
und libre siehe z.B. OpenSource.com (englisch), Stallmann,2013 (englisch) oder Dobusch et al. 2011 (Kapitel 4) (deutsch).
\n\n\n\n
Etabliere
und fördere Praktiken der Wiederverwendung und des Remixes, um eine Open Scholarship-Kultur
zu etablieren, die auf offener Zusammenarbeit und Austausch basiert.
\n\n\n\n
Ziehe
bei Bedarf auch die Vorregistrierung von Studien, die gemeinsame Nutzung von
Protokollen und die Verwendung von Labornotizbüchern zur offenen Forschungsdokumentation
in Betracht.
Mache eigene Beiträge zu
Openness in der Öffentlichkeit sichtbar (z.B. per Lebenslauf, offenen Plattformen
oder einer persönlichen Webseite/Blog). Nutze diese als Basis, um Best Practice-Beispiele
zu generieren.
\n\n\n\n
Mache dich mit offenen, kollaborativen Schreibwerkzeugen
wie bspw. Overleaf,
HackMD und Google Docs vertraut.
\n
\n\n\n\n
Publizieren
\n\n\n\n
\n
Bekenne
dich zu einer Vielzahl persönlicher offener Wissenschaftspraktiken wie z.B.
dem Austausch von Forschungsdaten und -materialien in freien, offen lizenzierten
Formaten, so dass Methoden und Ergebnisse von der breiteren Öffentlichkeit
uneingeschränkt untersucht und genutzt werden können.
Erwäge insbesondere, nur
in APC-freien Open Access-Zeitschriften oder solchen, die von gemeinnützigen
Organisationen oder Fachgesellschaften betrieben werden, zu publizieren.
\n
\n
\n\n\n\n
Verpflichte
dich, Präsentationen und Poster sowie alle Aufnahmen online über Plattformen
wie Zenodo zu teilen.
\n\n\n\n
Erwäge
dabei auch, deine Arbeit schneller zu teilen, indem du Preprints verwendest.
\n\n\n\n
Verweigere die
Unterzeichnung von Urheberrechtsübertragungsverträgen (copyright transfer
agreements – CTAs), es sei denn, Dir wird das Recht an der Weiternutzung Deines
Werkes unter einer Creative-Commons-Lizenz
Deiner eigenen Wahl eingeräumt.\n
\n
Verwende sofern nötig das SPARC author addendum, um die Rechte an deinem Werk
während der Veröffentlichung rechtswirksam zu behalten.
\n
\n
\n
\n\n\n\n
Outreach
\n\n\n\n
\n
Für
Förderorganisationen, Regierungen und Forschungseinrichtungen: Übernahme von
Richtlinien und Mandaten im Zusammenhang mit Open Scholarship-Praktiken jenseits
von Open Access (OA) und Datenaustausch, z.B. zu Open Peer Review, Verwendung
von Persistent Identifiers (PIDs), Open Research Evaluation und Preprints.
Darüber hinaus Einsatz für offene Bildung / Open Education mit entsprechenden
Praktiken, um die Verbreitung von Openness-Ansätzen unter Peers sowie den
nachfolgenden Generationen von Wissenschaftlerinnen und Wissenschaftlern zu
fördern.
\n\n\n\n
Kooperiere und arbeite mit Forschenden zusammen,
die verschiedene Aspekte von Open Scholarship praktizieren; diese können von
der Entwicklung von Open Source-Software und -Werkzeugen bis hin zur Veröffentlichung
von Preprints und der Förderung von Citizen Science und dem Austausch von
Erfahrungen mit Ansätzen zu offener Bildung/Open Education reichen.
\n\n\n\n
Entwickle
und fördere eine offene, konstruktive Weltsicht (“open mindset”), die die
Bedeutung des Forschungsprozesses in den Fokus rückt und
eine offene Fehlerkultur zulässt.
\n\n\n\n
Unterstütze den Aufbau von
Support-Strukturen (z.B. offene Werkstatt-Angeboten, openLabs, walk-in Labs
und andere Supportangebote, auch makerspaces im weiteren Sinne)(für einen
aktuellen Überblick im deutschen Kontext, siehe Fachmagazin Synergie), die andere Personen auf dem Weg
zu Open Scholarship begleiten. Dazu kann Unterstützung bei Fragen nach offenem
Publizieren, Offener Lehre, Offenem Lernen und Offenem Forschen genauso gehören
wie die Frage, welche Werkzeuge/Tools/Programme beispielhaft dafür zur Verfügung
stehen und wie diese genutzt werden können (siehe Abbildungen 1 und 2 und
Abschnitt Gruppenebene).
\n\n\n\n
Baue Beziehungen zu anderen
Akteuren, die an der Entwicklung von Open Scholarships beteiligt sind (z.B.
Bibliothekare, politische Entscheidungsträger, Verlage und andere Dienstleister,
Open Access-Befürworter und aktive Lehrkräfte sowie IKT- und andere Unterstützungspositionen
für Wissenschaft und Bildung) auf bzw. vertiefe bestehende Beziehungen.
\n\n\n\n
Als
im Bildungskontext tätige Person: Unterzeichne die Cape Town Open Education Declaration, um dich der Einhaltung
der drei Strategien der Erklärung als Teil des Lehr-, Lern- und/oder Arbeitslebens
zu verpflichten.\n
Überlege,
inwiefern du Initiativen der weltweiten Communities wie bspw. den Open Science MOOC unterstützen kannst, um Weiterbildungsangebote
zu offenen Wissenschaftspraktiken in die Breite zu tragen.
\n
\n\n\n\n
Assessment
\n\n\n\n
\n
Hinterlasse
konstruktive Kommentaren & Hinweisen zu Preprints/Code
etc. mit offenen Werkzeugen wie hypothes.is,
\n\n\n\n
Zeige
sofern möglich eine positive Reaktion auf Anfragen zu open peer reviews.
\n\n\n\n
Bitte
darum, dass Materialien (Forschungsdaten, Software, etc.) offen verfügbar
gemacht werden, um sie in Deinem Review-Prozess beispielsweise gemäß den Regeln
der Peer Reviewers’
Openness Initiative verwenden zu können.
\n\n\n\n
Unterzeichne
die San Francisco Declaration on Research Assessment (DORA), um deutlich zu machen, dass Du dich der Verbesserung
der Bewertung/des Assessment von Forschung verschreibst. Achte auch in der
persönlichen Praxis auf die Einhaltung der DORA-Grundsätze.
\n\n\n\n
Adaptiere
das Leiden Manifesto
als Vereinbarung zu Forschungsmetriken.
\n\n\n\n
Beurteile Forschungsoutput
nicht nach dem Impact-Faktor oder dem Ort der Veröffentlichung. Erwäge die
Erstellung eines ImpactStory-Profils,
um den eigenen Impact in Wissenschaft und Forschung besser zu dokumentieren.
Viele der auf der individuellen
Ebene genannten Elemente werden auch hier weiterhin relevant sein und werden
hier daher teilweise wiederholt, um diesen Umstand abzubilden.
\n\n\n\n
Suche
\n\n\n\n
\n
Suche
nach schon vorhandenen Datensets anderer Personen und Forschungsgruppen, die
Sie wiederverwenden können, anstatt eigene un dann doppelt vorhandene Daten
zu erstellen.
\n\n\n\n
Erwäge die Nutzung und Unterstützung offenerer
Suchmaschinen wie Open
Knowledge Maps anstelle der Nutzung proprietärer Dienste.
\n\n\n\n
Nutze
RSS-Reader wie Feedly,
um Nachrichten und Forschungsupdates aus einer Reihe von Quellen einfach zusammenzufassen.
\n
\n\n\n\n
Analyse
\n\n\n\n
\n
Adaptiere
Best Practices für Open Scholarship, einschließlich gemeinsamer Daten als
Forschungsergebnisse, die sich mit den Themen des “publication bias” sowie
“fragwürdigen Forschungspraktiken” auseinandersetzen und bias-reduzierende
Workflows als Alternative begreifen.\n
\n
Mache Best-Practice-Beispiele
als showcases sichtbar, um zu zeigen, was mit Open Scholarship tatsächlich
möglich ist und was die weiteren Vorteile sein können.
\n
\n
\n\n\n\n
Verfolge
einen breit angelegten Ansatz für die Vielfalt offener wissenschaftlicher
Forschungs- und Bildungspraktiken (Practices of Open Science/Scholarship).
Vgl. dazu bspw. die FOSTER Open Science Taxonomy.
Nutze Open Source-Software
für die Durchführung von Forschung und Lehre und dokumentiere diese entsprechend,
so dass die computerisierte Verarbeitung von der Wissenschaftscommunity überprüft
werden kann, und so, dass die verwendeten Werkzeuge für alle verfügbar sind,
um die Produktivität und Zusammenarbeit zu erhöhen. Zur Unterscheidung zwischen
open, free, gratis und libre siehe z.B. OpenSource.com (englisch), Stallmann, 2013 (englisch) oder Dobusch et al., 2011 (Kapitel 4) (deutsch).
\n\n\n\n
Etabliere
und fördere Praktiken der Wiederverwendung und des Remixes, um eine Open Scholarship-Kultur
zu etablieren, die auf offener Zusammenarbeit und Austausch basiert.
\n\n\n\n
Ziehe
bei Bedarf auch die Vorregistrierung von Studien, die gemeinsame Nutzung von
Protokollen und die Verwendung von Labornotizbüchern zur offenen Forschungsdokumentation
in Betracht.
Verweigere
die Zusammenarbeit mit Verlagen, die über restriktive Preprint-, Open-Access-
und Urheberrechtsrichtlinien verfügen oder sich anderweitig antagonistisch
gegenüber fortschrittlichen Open Scholarship-Praktiken und -richtlinien positionieren.
\n\n\n\n
Verpflichte
dich, Forschungsoutput über Preprints
offen und schnell verfügbar zu machen.
\n\n\n\n
Stelle sicher, dass
aller unterstützender Codes, Daten und andere relevante Informationen neben
den veröffentlichten Hauptbeiträgen zur Verfügung gestellt werden.
\n
\n\n\n\n
Outreach
\n\n\n\n
\n
Mache
Open Scholarship-Hotspots (d.h. Orte, Events oder Gruppen für einen regelmäßigen
Austausch und die Diskussion über Community Building) ausfindig und finde
einen Weg, diese miteinander in Kontakt und Austausch zu bringen, um Zusammenhalt
und Expansion der Community zu fördern.
\n\n\n\n
Sollte ein solcher
in Deiner Nähe noch nicht existierten: Richte einen lokalen Open Scholarship-Hotspot
(z.B. über die Meetup-Plattform)
ein.
\n\n\n\n
Nutze diese nationalen/internationalen/regionalen Gemeinschaften,
um das Lernen und den Wissensaustausch über Open Scholarship-Praktiken auf
niedrigschwelliger Ebene, insbesondere in unterschiedlichen kulturellen Umgebungen,
zu unterstützen.
\n\n\n\n
Starte Diskussionen zu einem impliziten oder
expliziten (gemeinsamen) Open Science/Open Scholarship-Verhaltenskodex oder
einer entsprechenden Satzung für Ihre Abteilung, Ihren Fachbereich, etc. Als
Inspiration können schon bestehende Kodizes wie bspw. der Contributor Covenant dienen.
\n\n\n\n
Stelle
sicher, dass Rechtsexpertinnen und -experten zum Themenfeld Open Scholarship
zur Verfügung stehen, die bei Fragen zu Lizenz- und Urheberrecht sowie der
richtigen Nutzung von Creative Commons-Lizenzen behilflich sein können. Im
deutschsprachigen Kontext kann zur Rechtsfragen und -Beispielfällen bspw.
das Portal irights.info
eine hilfreiche Anlaufstelle sein.
\n\n\n\n
Binde Kommunikationsabteilungen
und Forschungs-Assessment-Beauftragte enger mit ein. Organisiere Sitzungen,
um diese Stakeholder über Open Science und Open Scholarship zu informieren.
Sei dir dabei der Tatsache bewusst, dass es für Mitarbeitende dieser Bereiche
bedeuten kann, dass sie ihre eigene Sichtweise zu Wissenschaft, deren Handlungsfeldern
sowie ihrer eigenen Rolle in diesem Wissenschaftssystem neu ausrichten werden.
\n\n\n\n
Stoße
Debatten über sinnvolle Standards und Praktiken auf fachlicher Ebene für die
Veröffentlichung von Daten in Deiner Institution und darüber hinaus an (z.B.
die Einhaltung der FAIR-Prinzipien).
Achte bei der Er- und Bereitstellung von OER auf die Gewährleistung der “Fünf V-Freiheiten”.
\n\n\n\n
Verbessere
den Austausch zwischen Fakultätsbeiräten, Forscherinnen und Forschern, Studierenden
und Bibliotheksmitarbeitenden in Bezug auf Open Scholarship-Praktiken (siehe
Abb. 1 und 2) und deren zugrundeliegenden Prinzipien.
\n\n\n\n
Ziehe
z.B. den Begriff der Expert User Communities von Hartley et al. 2019 in Betracht; dieser könnte auch
erweitert werden, um nicht nur Open Access publishing umfassen, sonder auch
auf andere Open Science und Scholarship-Tools, -Dienste und entsprechende
Communities in den verschiedenen Bereichen des Open Scholarship ausgeweitet
werden.
\n
\n\n\n\n
Assessment
\n\n\n\n
\n
Halte Fürsprache
bei Entscheidungsträgern von wissenschaftlichen Zeitschriften, Verlagen, Förderern,
Hochschulen und Forschungseinrichtungen, um eine Vielzahl von Open Scholarship-Aktivitäten
anzuerkennen und zu belohnen, insbesondere im Hinblick auf Forschungsevaluation
und Open Education Policies.
\n\n\n\n
Nimm Gespräche mit Anbietern
von Hochschulranking-Diensten (z.B. QS, Times Higher Education (im Kontext
UK), CHE (im Kontext DE)) auf, um ein Offenheitselement in die zugrundeliegenden
Indikatoren zu integrieren.
\n
\n\n\n\n
Institutsebene (einschließlich
Forschungs- und Fördereinrichtungen sowie Fachgesellschaften)
\n\n\n\n
Teilen
\n\n\n\n
\n
Lote
Möglichkeiten aus, wie proprietäre Software zeitnah durch Open-Source-Alternativen
ersetzt werden können.
\n\n\n\n
Fordere von Wissenschaftlerinnen und
Wissenschaftler ein, dass Sie mit offenen Standards und Dateiformaten arbeiten
(entweder ausschließlich oder zusätzlich zu proprietären Standards und Dateiformaten).
\n
\n\n\n\n
Publizieren
\n\n\n\n
\n
Verschaffe
Dir einen aktuellen, koordinierten Überblick darüber, zu welchem Zeitpunkt
welche Abonnements und Lizenzvereinbarungen über Forschungsinstitutsgrenzen
hinweg auslaufen, und lasse dies geschehen. Wo immer Stornierungen oder Kündigungen
von Abonnements auftreten, ist sicherzustellen, dass ein angemessener Zugang
zu Artikeln und entsprechender Support nach Auslauf des Abonnement unter Nutzung
bestehender legaler Mechanismen (z.B. Fernleihe) gewährleistet wird.\n
\n
Stelle
sicher, dass entsprechend notwendiger Austausch und Koordination zwischen
Bibliotheken und relevanten Dritten sichergestellt ist, damit die eingebundenen
Bibliotheken ihre qualitativ hochwertigen Dienstleistungen und Kernaufgaben
unterbrechungsfrei ausführen können.
\n\n\n\n
Erkundige dich nach Wegen
zur Reinvestition von eingesparten Mitteln in nachhaltige Bibliotheksbudgets.
\n
\n
\n\n\n\n
Kaufe
Altdokumente von Verlagen zurück und binde sie in den offenen wissenschaftlichen
Gesamtkreislauf ein. Verbessere zudem die offene Verfügbarmachung und Archivierung
von Werken, deren Urheberrecht abgelaufen ist.
Forschungsförderinstitutionen
können Grenzen eines für sie akzeptablen Publikationsstandards definieren.
Sie können daher auch darauf hinwirken, Veröffentlichungen in wiss. Journals
mit einer Obergrenze für APCs und BPCs zu belegen, oder Veröffentlichungen
bei reinen Open Access-Verlagen (mit OA-spezifischen Lizenzen) oder in solchen
mit vergleichsweise kurzen Embargofristen (mit klarer Präferenz eines Null-Embargos)
zur Selbstarchivierung (grünes OA, z.B. Emerald, The Royal Society im britischen
Kontext) zu verlangen.
\n\n\n\n
Weigere dich, mit Verlagen zusammenzuarbeiten,
die sog. “Double Dipping” praktizieren, und fordere Transparenz
und die Bereitstellung entsprechender Daten, falls der Verdacht besteht, dass
dies der Fall ist (für einen Überblick siehe z.B. Buranyi, 2017).
\n\n\n\n
Weigere dich, mit Verlagen
zusammenzuarbeiten, bei denen es keine Transparenz über das Preismodell für
Abonnements oder Open Access gibt. Dies gilt auch für Verlage, die auf Vertraulichkeitsvereinbarungen
als Teil der Lizenzvertragsbedingungen bestehen.\n
\n
Wirke im Dialog
mit Verlagen darauf hin, mehr Transparenz in Bezug auf die finanziellen Aspekte
ihrer Publishing-Workflows zu etablieren. Als Positiv-Beispiel kann hier Ubiquity
Press dienen.
\n\n\n\n
Weigere dich, mit Verlagen zusammenzuarbeiten,
die über restriktive Preprint-, Open Access- und Copyright-Richtlinien verfügen.
\n
\n
\n\n\n\n
Bestehe
darauf, dass Verlage alle bibliographischen Daten, Nutzungsmetriken und Zitationsdaten
sowohl in für Menschen lesbaren als auch in einem maschinenlesbaren Format
frei verfügbar und zugänglich machen.
\n\n\n\n
Wirke auf eine Entwicklung
von Richtlinien zur Wahrung von Rechten für Forschung an Forschungsinstituten
hin, an denen diese derzeit noch fehlen.
\n\n\n\n
Erwäge eine Adaption
der CASRAI CRediT
(Contributor Rules Taxonomy)-Richtlinien, um Beiträge der Autorinnen und Autoren
in Journals klarer zu identifizieren und darüber hinaus zusätzlich die Beiträge
von Autorinnen und Autoren anderer Forschungsmaterialien (Daten, Software,
etc.) so eindeutig wie möglich zu identifizieren.
\n\n\n\n
Fördere
die Verbreitung der Initiative
for Open Citations (I4OC) bei Verlagen gemeinsam mit einer grundlegenderen
Förderung der breiten Akzeptanz offener Standards.
\n\n\n\n
Für Forschungsinstitutionen,
an denen sie derzeit fehlen: rege die Einrichtung und nachhaltige Pflege eines
Open Access-Repository an oder identifiziere schon vorhandene Ressourcen,
die für diesen Zweck genutzt werden können. Führe zudem eine Open Access-Policy ein und mache diese auf der institutionellen
Website und allen relevanten Indexierungsdiensten leicht auffindbar und zugänglich.\n
\n
Beispiele
für Open Access-Policies finden sich z.B. über die ROARMAP
Forschungsbibliotheken
sollten generell Informationen darüber sammeln, wie der Forschungssektor als
Ganzes mit Forschungsliteratur interagiert. Folgende Informationen könnten
sich als hilfreich bei Verhandlungen mit Verlagen erweisen und Argumentationshilfen
für das Aufbrechen von Sammelverträgen und Groß-Abonnements liefern, indem
sie den branchenübergreifenden Wert von Diensten belegen:\n
\n
Welche
Journals und Verlage wählen Forschende für ihre Publikationen?
\n\n\n\n
Wer
leistet tatsächlich redaktionelle sowie Peer-Review-Arbeit?
\n\n\n\n
Welche
Summen werden für Journal-Abonnements ausgegeben?
\n\n\n\n
Welche Summen
werden im Bereich Open Access für Artikelbearbeitungsgebühren bzw. article
processing charges (APCs) und Buchbearbeitungsgebühren / book processing charges
(BPCs) ausgegeben?
\n\n\n\n
Welche Artikel werden tatsächlich heruntergeladen
und zitiert?
\n
\n
\n\n\n\n
Ermögliche und fördere lokale Supportstrukturen
wie Openlabs, Makerspaces und Lern-, Orientierungs- und Beratungsangebote
für Open Publication, Open Science und Open Education.
\n
\n\n\n\n
Assessment
\n\n\n\n
\n
Arbeite
mit Forschungs-Communities zusammen, um quantifizierbare Anreize für den Austausch
von Preprints, Open Data, reproduzierbaren Analysedaten und Open Access generell
bei Einstellungs-, Beförderungs- und Berufungsverfahren zu entwickeln und
zu bewerben. Definiere neue Wege, um die Vorteile dieser Anreize der breiteren
Wissenschaftcommunity verständlich zu machen.
\n\n\n\n
Adaptiere und
fördere die in DORA festgelegten Prinzipien für ein gerechteres Assessment
von Forschung. Stelle sicher, dass die für diese Art von Assessment Verantwortlichen,
einschließlich Einstellungs-, Berufungs- und Förderausschüsse, sich an diese
halten.
\n\n\n\n
Unterstütze die Förderung und leiste entsprechende
Kompensation von investierter Zeit und Arbeit für Trainings- und Interessensvertretungstätigkeiten
zu den verschiedenen Aspekten von Open Scholarship, einschließlich Open Source,
Open Access und Open Education.
\n\n\n\n
Überlege, ob das niederländische
Pradigma der researchers’ portfolios nicht spannend für Deine Community
sein könnte.
\n
\n\n\n\n
Nationale Ebene (oder darüber hinaus)
\n\n\n\n
Suche
\n\n\n\n
\n
Führe
moderne Sortier-, Filter- und Suchtechnologien (semantic web) für allen bereitzustellenden
Wissenschafts-Output ein.\n
\n
Ermögliche uneingeschränktes Text- und
Data-Mining für diese Inhalte.
\n
\n
\n
\n\n\n\n
Schreiben
\n\n\n\n
\n
Wirke
auf die Verwendung von ORCID-Identifiern
für Forschende im gesamten Forschungsoutput hin, um eine persistente Identifizierung
von Autorinnen und Autoren in der gesamten Forschungsliteratur zu unterstützen
und die Auffindbarkeit von Forschungsergebnissen zu erleichtern.
\n
\n\n\n\n
Publizieren
\n\n\n\n
\n
Baue
auf die Unterstützung von Mitarbeitenden und Geldgebern für Open Access und
damit verbundene Qualitätssicherungsinitiativen (z.B. Peer Review), die vom
Verlags- und Journal-Kreislauf entkoppelt sind.\n
\n
Vereinbare eine
Governance-Struktur, die weltweite Infrastrukturen (z.B. W3C) mit einbezieht, und entwickle diese kontinuierlich
weiter.
\n
\n
\n\n\n\n
Schaffe wissenschaftliche Standards
zur Implementierung einer gemeinnützigen non-profit Publikationsplattform/-umgebung
(unter Einsatz der durch ausgelaufene Abonnements freigewordenen Mittel, und
aufbauend auf bestehenden offenen Repositorien, Umgebungen und genereller
offener digitaler Forschungsinfrastruktur).
\n\n\n\n
Erwirke eine Reduzierung
der Artikelbearbeitungsgebühren/article processing charges (APCs) und Buchbearbeitungsgebühren/book
processing charges (BPCs) bei Hybrid-Titeln, um dem Marktdurchschnitt für
reine Open Access-Zeitschriften und Verlage zu entsprechen. (HINWEIS: Mit
dem neuen Finanzierungsinstrument von HorizonEurope sind Veröffentlichungen in Hybrid-Journals
nicht zulässig).\n
\n
Der wissenschaftliche Publikationsmarkt könnte
eine detaillierte Untersuchung auf Regierungsebene erfordern, um dies nachhaltig
zu stabilisieren.
\n
\n
\n\n\n\n
Sofern Journal-Abonnements
noch nicht abgelaufen sind, erwirke Ausgleichsvereinbarungen für Hybrid-Journals
(OA/non-OA), um Double-Dipping seitens der Verlage zu reduzieren.
\n\n\n\n
Wo
Ausgleichs- und/oder Kompensationsvereinbarungen bestehen, können diese gestrafft
und sektorübergreifend standardisiert werden, um den anfallenden Verwaltungsaufwand
zu reduzieren.
\n\n\n\n
Arbeite darauf hin, dass Wissenschaftsverlage
sich mit der neuen UK Scholarly
Communications License auseinandersetzen, die es Autorinnen und Autoren
ermöglicht, weitergehende Rechte an ihren publizierten Werken zu behalten.\n
\n
Dies
reduziert den Zeitaufwand für Embargofristen und deren Verwaltung sowie die
Kosten für hybride APCs und BPCs. Forschende im Vereinigten Königreich/UK
können zudem dabei unterstützt werden, die UKRI Open Access policy zu beachten und einzuhalten.
\n\n\n\n
Forschende,
die nicht im Vereinigten Königreich ansässig sind, können darauf hinwirken,
eine auf die Förderungs- und Lizenzierungsanforderungen anderer Regionen erweiterte
Adaption des UKSCL (oder
relevanter Variationen davon) zu erarbeiten und einzuführen.
\n
\n
\n\n\n\n
Führe
sektorübergreifend eine bedingungslose Gebührenbefreiung für Forschende aus
Ländern mit niedrigem bis mittlerem Einkommen oder mit nachweisbarem finanziellem
Bedarf ein.
\n\n\n\n
Wandle (oder flippe) die Mehrheit der verfügbaren wissenschaftlichen
Journals vom Bezahl-/Abonnement-Modell hin zu Open Access entsprechend den
Befürfnissen der entsprechenden Wissenschaftscommunities.
Werde Mitglied bei der Global Sustainability Coalition
for Open Science Services (SCOSS),
und erörtere eine mögliche Koalition mit der Open Research Funders Group.
Sich Unterstützung
von SPARC (s.o.) zu holen ist sicherlich auch förderlich.
\n
\n
Insbesondere
für den europäischen Raum und mit Schwerpunkt auf den Long Tail von Wissenschaft
und Forschung könnte OpenAIRE
Lösungen zur Herstellung von Interoperabilität für institutionelle Repositorien
bereitstellen und deren Sichtbarkeit verbessern.
\n\n\n\n
Ziehe aktuelle
Entwicklungen zum Europäischen Plan S für deinen spezifischen nationalen oder regionalen
Kontext in Betracht. Beachte dazu insbesondere, was getan werden kann, um
eine Implementierung von Plan S in deinem Kontext voranzubringen.
Weiterführende Literatur: Kramer & Bosman, 2018 oder die Sammlung von im Open
Access Tracking Project gesammelten Beiträgen.
\n
\n
\n\n\n\n
Unterstütze
Kooperationen wie Metadata
2020,, NISO/NIST
und eLife,, um
wissenschaftlichen Kommunikationssystemen und Communities besser miteinander
zu vernetzen.
\n\n\n\n
Initiiere Maßnahmen gegen die Privatisierung
wissenschaftlicher Publikationen und Prozesse, um eine Veränderung der Verlagsbranche
hin zu einem Verlagssystem zu erreichen, das auf faire Lizenzierung, fairen
Wettbewerb und der Einhaltung der Eigentumsrechte der wissenschaftlichen Gemeinschaft
setzt.
\n\n\n\n
Wirke an der Entwicklung nachhaltiger Roadmaps für
Open Scholarship auf regionaler und nationaler Ebene mit.\n
\n
Dies
beinhaltet die weitergehende Adoption von Preprint- und Open Access-Policies
ähnlich denen der NIH
(USA) und des Wellcome Trust (UK).
\n
\n
\n\n\n\n
Ermutige
Forschungsförderer bei der Entwicklung von Aufrufen zur Unterstützung von
evidenz- und theoriebasierten Interventionen zur Förderung von Open Scholarship.\n
\n
Fördere
Studien, die anhand von behavior change theory die Kriterien und Einflussfaktoren
des aktiven Engagements in unterschiedlichen Open Scholarship-Feldern und
-Praktiken untersuchen (bspw.um zu erforschen, wieso manche Forschenden wiederholt
und routiniert Preprints veröffentlichen, während andere sich dieser Praktik
verschließen…)
\n\n\n\n
Fördere Studien, die anhand der stakeholder
theory Herangehenweisen untersuchen, wie vermehrt Open Scholarship-Policies
an Foschungs- und Bildungsinstitutionen etabliert werden können.
\n
\n
\n\n\n\n
Lade
alle relevanten
Akteure einschließlich Universitäten, Forschungseinrichtungen, Fachgesellschaften,
Geldgeber, Bibliotheken und Verlagen dazu ein, konstruktiv an einem Übergang
zu offenen Forschungs- und Bildungsspraktiken zum Nutzen der Wissenschaft
und der Gesellschaft insgesamt mitzuwirken.\n
\n
Erstelle Showcases
und Good Practice-Beispiele von Open Scholarship-Praktiken auf nationalen
Websites oder Portalen, zusammen mit relevanten Informationen und Ressourcen.
\n\n\n\n
OpenAIRE
National
Open Access Desks (NOADs) arbeitet bereits daran und könnte hierzu Input
liefern und die Kommunikation zwischen allen Beteiligten bei der Erstellung
nationaler Leitfäden erleichtern.
\n
\n
\n\n\n\n
Fördere die
vereinheitlichte Erstellung und Bereitstellung von Open Science-Trainingskursen
in Graduiertenschulprogrammen und darüber hinaus. Als Beispiel kann das Open
Science-Toolkit von FOSTER
oder der OpenScienceMOOC
dienen.
\n
\n\n\n\n
Assessment
\n\n\n\n
\n
Erstelle eine
Kosten-Nutzen-Analyse zu Open Scholarship (z.B. Übersicht der tatsächlich
anfallende Kosten der Veröffentlichung von Artikeln), die als Grundlage für
die Auseinandersetzung mit der Frage dienen kann, welche Summe an Steuergeldern
jedes Jahr dadurch ausgegeben werden, wenn zu treffende Entscheidungen in
den oben genannten Bereichen weiter verzögert werden.
\n\n\n\n
Forschungsförderungs-Institutionen
und Bibliotheken halten zumeist den größten Teil der verfügbaren Mittel unter
ihrer Kontrolle. Daher ist weitergehendes Engagement dieser Stakeholder unerlässlich,
insbesondere bei der Definition ihres diesbezüglichen Rollenverständnisses
bei der Entwicklung und Finanzierung von Wissenschafts-Infrastruktur.\n
\n
Ein
“Einfach weiter so”, mit dem wie bisher Geld in das bestehende System mit
kontraindizierten Anreizen und verzerrter Machtdynamik geleitet wird, ist
für die Forschung insgesamt nicht mehr tragbar.
\n
\n
\n\n\n\n
Ermutige
an der Forschungsförderung Beteiligte zur Diversifizierung des Portfolios
dessen, was für Assessment-Zwecke als Forschungsergebnis angesehen wird.
\n\n\n\n
Fördere
die in DORA dargelegten
Grundsätze für ein gerechteres Assessment von Forschungsleistungen, und adaptiere
diese an Dein eigenes Umfeld. Stelle sicher, dass die für Forschungs-Assessment
Verantwortlichen, einschließlich der Einstellungs- und Berufungsausschüsse
sowie für die Vergabe von Grants und Forschungszuschüssen verantwortlichen
Komitees, sich an diese halten.
\n
\n\n\n\n
2.2 Mittelfristige
Strategie (2-5 Jahre)
\n\n\n\n
Zu gegenwärtigen Zeitpunkt wird davon
ausgegangen, dass Teile der kurzfristigen Strategie auf der Grundlage der
Bedürfnisse der jeweiligen Gruppen bereits eingeleitet wurden und sich entweder
in der Umsetzung oder in der vorbereitenden Entwicklung befinden. Häufig handelt
es sich um fluide und kontinuierliche Prozesse, die sich mit der mittelfristigen
Strategie überschneiden können und daher an dieser stelle nicht explizit wiederholt
werden. Alle in der Kurzfristigen
Strategie genannten Punkte sind daher je nach Entwicklungstempo genauso
relevant.
\n\n\n\n
Individuelle Ebene
\n\n\n\n
\n
Arbeite
weiterhin an der Einführung neuer Forscher/innen in Best Practices zum Thema
Open Scholarship.\n
\n
In Bereichen, in denen dies bisher noch nicht
der Fall ist, könnte der Aufbau strategischer Netzwerke zur Lobbyarbeit für
Openness verstärkt werden.
\n
\n
\n\n\n\n
Stelle sicher, dass
alle Forschungsprozesse und -ergebnisse im persönlichen Umfeld, einschließlich
früherer Publikationen und Forschungsdaten, offen lizenziert und für die Wiederverwendung
an geeigneten Orten verfügbar sind.
\n\n\n\n
Entwickle Workflows, die
auf die Vorteile von Open Scholarship-Praktiken setzen, um die vergleichsweise
höhere Effizienz im Vergleich zu herkömmlichen Workflows in proprietären Systemen
im Best Practice-Sinne sichtbar zu machen.
\n\n\n\n
Fördere weiterhin
Innovationen in neuen Forschungsprozessen und Arbeitsabläufen, wenn neue Dienstleistungen,
Absatzmöglichkeiten und Technologien verfügbar werden.
\n\n\n\n
Nutze
semantische Web-Technologien, um bereits existierende und neu entwickelte
Forschungsergebnisse zu verbreiten; dies kann bspw. Tagging (siehe z.B. Ansätze
wie OATP,
Netzwerk-Visualisierungen wie das Publikations-Netzwerk zum Themenbereich
Offenheit und Bildung von DeVries, Rolfe, Jordan und Weller, 2017, oder die Kommentierung/Annotation
bestehender Inhalte bspw. mit Hypothes.is
beinhalten.
\n\n\n\n
Entwickle die in der kurzfristigen Strategie (Abschnitt 2.1) genannten
Aspekte weiter.
\n
\n\n\n\n
Gruppenebene
\n\n\n\n
\n
Wirke
an der Schaffung einer umfassenden Mechanismen-Sammlung mit, die eine vollständige
Öffnung der Forschungsprozesse für die Öffentlichkeit ermöglichen (bspw. kein
Mitziehen von inhaltlich unbeteiligten Autor*innen, keine “menschlichen Verarbeitungseinheiten”
mehr usw.).
\n\n\n\n
Binde alle Gruppenmitglieder in die Entwicklung
von Open Scholarship-Workflows ein, die die Vorteile einer sich stetig weiterentwickelten
Wissenschafts-Infrastruktur und darin enthaltener Tools nutzten.\n
\n
Die
European Open Science Cloud (EOSC) zielt darauf ab,
eine sichere Umgebung mit föderierten Diensten und Tools für Open Science
zu schaffen.
\n\n\n\n
Stelle sicher, dass alle Gruppenmitglieder in
einer Vielzahl von relevanten Fähigkeiten und Fertigkeiten geschult werden;
dazu kann öffentliches Engagement und die Entwicklung von Policies und Richtlinien
genauso zählen wie die Durchführung von Datenanalysen, Webentwicklung oder
die Förderung von Citizen Science und Wissenschaftskommunikation.
\n
\n
\n\n\n\n
Ermögliche
Einblicke sowohl in lokale als auch darüber hinausgehende Entwicklungen und
Erfolgsgeschichten aus der gelebten Praxis des Open Scholarship.
\n\n\n\n
Setze
den Aufbau und die Stärkung der lokalen Open Scholarship-Communities gewissenhaft
fort und binde Nachwuchswissenschaftlerinnen und -wissenschaftler sowie Studierende
mit ein.
\n\n\n\n
Entwickle die in der Kurzfriststrategie (Abschnitt
2.1) genannten Aspekte weiter.
\n
\n\n\n\n
Instituts- / Arbeitsbereichs-Ebene
\n\n\n\n
\n
Implementiere
Opt-Out-Automatisierung und One-Click-Übermittlung zu lokalen oder anderen
Repositorien als Teil des Journal-Publikationsprozesses.\n
\n
Implementiere
eine Opt-Out-Automatisierung der Ablage von Forschungsdaten unter standardmäßig
offenen Lizenzen (bspw. CC0, CC BY).
\n\n\n\n
Implementiere eine Opt-Out-Automatisierung
von Code-Accessibility-Features sowie einer Versionskontrolle unter standardmäßig
offenen Lizenzen.
\n\n\n\n
Implemente den Mechanismus einer One-Click-Einreichung
in vorhandenen Repositories (siehe HAL) oder adaptiere bestehende Tools, umd diesen Zweck
zu erreichen (bspw. Dissemin).
\n\n\n\n
Befülle
offene Repositorien retroaktiv mit Volltexten aller Werke, die den Status
der Gemeinfreiheit erreicht haben, unter entsprechenden offenen Lizenzen veröffentlicht
wurden oder eine freie Verfügbarmachung anderweitig durch Copyright-Ausnahmen
und andere Richtlinien ermöglicht wird. Unterstütze zudem Autorinnen und Autoren,
dasselbe für weitere und zukünftige Werke zu tun.
\n
\n
\n\n\n\n
Nutze
eingesparte Ressourcen, die derzeit für Abonnements von Zeitschriftenabonnements
ausgegeben werden, zur Ausfinanzierung von Fonds zur Unterstützung nachhaltiger
Open Access-Geschäftsmodelle, wissenschaftlicher Infrastruktur und anderer
relevanter Support-Dienste.
\n\n\n\n
Entwickle und vermittle Kurse
zu den verschiedenen Praktiken des Open Scholarship bzw. biete diese selbst
an (z.B. als grundständiges Angebot an Seminaren/Workshops von Graduiertenkollegs).
\n\n\n\n
Setze
die Zusammenarbeit mit anderen Forschungsinstituten fort, um Ressourcen, Infrastruktur
und Dienstleistungen auf nachhaltigere Art und Weise zu nutzen.
\n\n\n\n
Arbeite
mit Forschungsförderern zusammen, um explizite, verpflichtende Mandate in
Bezug auf Open Scholarship durchzusetzen und stelle dabei sicher, dass die
akademische Freiheit dabei nicht beeinträchtigt wird.
\n\n\n\n
Setze
weiterhin exklusiv nur auf eine Zusammenarbeit mit Verlagen und anderen Anbietern,
die ihr Angebot über progressive, offene Dienste, Tools und Richtlinien zur
Verfügung stellen.
\n\n\n\n
Verpflichte dich gemeinsam mit Kolleginnen
und Kollegen innerhalb deines Institutes oder Arbeitsbereichs zum offenen
Austausch von Daten und Metriken über Forschungsaktivitäten, -aufzeichnungen
und -verhalten auf Ebene des Instituts oder Arbeitsbereichs.
\n\n\n\n
Stelle
weiterhin sicher, dass Policies zur Bewertung von Forschungsergebnissen/output
auf allen Ebenen sowohl evidenzbasiert kontrolliert als auch von allen Forschenden
eingehalten werden.
\n\n\n\n
Entwickle ein Äquivalents zu den CASRAI CRediT (Contributor Rules Taxonomy)-Guidelines,
um die Beiträge von Autorinnen und Autoren von Forschungsprodukten jenseits
klassischer Journal-Publikationen (bspw. Daten, Software, Illustration/Layout,
usw.) so klar wie möglich zu identifizieren.
\n
\n\n\n\n
Nationale
(oder höhere) Ebene
\n\n\n\n
Analyse
\n\n\n\n
\n
Beginne
mit der Implementierung semantischer Technologien über alle Bereiche des Forschungsdaten
und -outputprozesses, insb. auch mit dem Ziel, offenes Text- und Data-Mining
zu ermöglichen.
\n
\n\n\n\n
Publizieren
\n\n\n\n
\n
Für
alle verbleibenden Hybrid-Journals, die einen höheren Open Access-Anteil über
Artikel-Abonnements erreichen: wirke darauf hin, dass diese Journals über
die Implementierung von Article Processing Charges (APCs), welche die tatsächlichen
laufenden Kosten dieses Journals widerspiegeln, zu reinen Open Access-Journals
gemacht werden.\n
\n
Für verbleibende Hybrid-Journals, die dieses Niveau
nicht erreicht haben: lehne eine Veröffentlichung von Open Access-Artikeln
in diesen Unternehmungen ab, und trage dafür Sorge, dass Abonnements dieser
Journals nicht erneuert werden. (siehe dazu bspw. HRK 2018)
\n
\n
\n
\n\n\n\n
Outreach
\n\n\n\n
\n
Erhöhe
die Mittelbereitstellung zur Aktivierung von einer Vielzahl von Zielgruppen,
insbesondere mit Blick auf unterrepräsentierte Bevölkerungsgruppen.
\n\n\n\n
Stelle
Fördermittel für weitergehende Forschung im Bereich Open Scholarship bereit.
\n\n\n\n
Stelle
Fördermittel für die Entwicklung von Interventionsansätzen bereit, welche
Einzelpersonen und Institutionen motivieren können, um Open Scholarship-Praktiken
und -Policies zu adaptieren.
\n\n\n\n
Binde Bibliothekskonsortien (z.B.
LIBER, EIFL)
eng in nationale Verhandlungskonsortien und alle relevanten Hochschulgewerkschaften
mit ein, um Wissenschaftskoalitionen zu stärken. Erweitere diese durch die
Einbindung von wissenschaftlichen Kollaborationsplattformen (z.B. eLife, NISO),
um Netzwerke und Zusammenarbeit im Feld der Wissenschaftskommunikation weiter
auszubauen.
\n\n\n\n
Lege den Grundstein für eine Implementierung nationaler
oder internationaler Forschungs-Infrastrukturen, innerhalb derer sich alle
beteiligten Stakeholder auf die Einhaltung offener Standards, entsprechende
Roadmaps und Governance-Strukturen einigen. Stelle sicher, dass dies durch
nachhaltige Finanzierung unterstützt wird, welche aus in Bibliotheksbudgets
durch die Beendigung oder das Auslaufen teurer Verlagsverträge freiwerdenden
Finanztöpfen refinanziert werden können.
\n\n\n\n
Stelle alle Ergebnisse
offen zur Verfügung, die sich aus Forschung oder Untersuchungen zum Status
nationaler Märkte von Wissenschaftsverlagen ergeben.
\n
\n\n\n\n
Assessment
\n\n\n\n
\n
Formuliere
empfohlene Karrieremetriken, die zur Veröffentlichung von Open Data, Open
Materials, Open Source Softwarereleases und Peer Support in Wissenschaft und
Forschung anregen.\n
\n
Entwickle wiss. Laufbahnkennzahlen, die der
Veröffentlichung von Open Data und anderen offenen Materialien (auch OER)
sowie der Veröffentlichung von Open Source-Software und die Unterstützung
offener Forschung Rechnung tragen.
\n\n\n\n
Entwickle wiss. Laufbahnkennzahlen,
die Aktivitäten der Kandidatinnen und Kandidaten im Bereich des offenen Lernens
und Lehrens bzw. Open Education mit einbeziehen.
\n\n\n\n
Stelle sicher,
dass gerechte und stringente Policies zur Bewertung von Forschung implementiert
und überprüft werden und sorge für eine breite Unterstützung dieser durch
das Kollegium.
\n
\n
\n
\n\n\n\n
2.3 Langfristige Strategie
(5-10 Jahre)
\n\n\n\n
Zu diesem Zeitpunkt wird erwartet, dass bestimmte
Teile der kurz- und mittelfristigen Strategien auf der Grundlage der Bedürfnisse
der jeweiligen Gruppen initiiert wurden und sich entweder in der laufenden
Umsetzung oder in der Entwicklung befinden. Häufig handelt es sich dabei um
laufende Prozesse, die sich mit der langfristigen Strategie überschneiden
können daher hier nicht wiederholt werden sollen. Alle in der Kurzfristigen
Strategie und der Mittelfristigen
Strategie genannten Punkte sind jedoch je nach Entwicklungstempo weiterhin
relevant.
\n\n\n\n
Individuelle Ebene
\n\n\n\n
\n
Unterstütze
die grundlegende Ausbildung von Nachwuchswissenschaftlerinnen und -wissenschaftlern
im Einsatz anhand entsprechender Best Practice-Beispiele neu entwickelter
Tools und Dienste.
\n\n\n\n
Unterrichte Studierende im Einsatz offener
Labor-Notebooks, Versionskontrolle, kontinuierlicher Analyse sowie anderer
Aspekte von Open Scholarship-Prozessen in einführenden Kursen zu Forschungsmethoden
und Ethik.\n
\n
Der Open Science MOOC ist eine skalierbare, communitygeleitete
Initiative, um in diesem Bereich zu helfen.
\n\n\n\n
The Carpentries könnten die Ausbildung von Nachwuchsforschenden
in den Bereichen grundlegender Kodierung und Data Science unterstützen.
\n\n\n\n
Die
RDA Early Career and Engagement Interest Group könnte
durch ihr Mentorship-Programm und andere Aktivitäten auch Studierende und
Nachwuchsforschende in Open Science-Fragen unterstützen.
\n
\n
\n\n\n\n
Entwickle
offene Schulungs- und Informationsmaterialien (OER) für die Weiterentwicklung
von Open Scholarship (siehe dazu beispielhaft FOSTER Training)
\n\n\n\n
Führe die aktive Vernetzungsarbeit
zwischen den Open Scholarship-Communities fort, um interdisziplinäres Engagement
und Zusammenarbeit zu stärken.
\n\n\n\n
Entwickle Elemente der kurz-
und mittelfristigen Strategien stetig weiter.
\n
\n\n\n\n
Gruppenebene
\n\n\n\n
\n
Setze
die Erprobung neuer und Weiterentwicklung schon etablierter Open Scholarship-Workflows
fort, um auch Elemente neu entstehender Forschungsinfrastruktur weiter zu
integrieren.
\n\n\n\n
Kommuniziere die Vorteile und mögliche Auswirkungen
der Einführung von Open Scholarship-Workflows an bisher unerschlossene Gruppen,
und stelle erste formalisierte Trainingsangebote für diese zur Verfügung.
\n\n\n\n
Setze
die Weiterentwicklung der kurz- und mittelfristigen Strategien fort.
\n
\n\n\n\n
Instituts-
und Abteilungs-Ebene
\n\n\n\n
\n
Richte einen permanenten Fonds
für nachhaltigere Projekte, einschließlich Open Source-Softwareentwicklung,
APCs und BPCs, Preprint-Server und andere Kosten im Zusammenhang mit Open
Scholarship ein.
\n\n\n\n
Schaffe Anreize dafür alle Forschungsergebnisse
Open Access zu veröffentlichen – dies kann Grünes OA (repositories) oder Gold
OA (Journals oder andere digitalen Plattformen) beinhalten.
\n\n\n\n
Schaffe
Anreize für Nachwuchswissenschaftlerinnen und -wissenschaftler, in all ihrem
wissenschaftlichen Wirken – einschließlich Forschung und Lehre – Offenheit
zu praktizieren.
\n\n\n\n
Entwickle die Aspekte der kurz- und mittelfristigen
Strategien weiter.
\n
\n\n\n\n
Nationale (oder höhere) Ebene
\n\n\n\n
\n
Beteilige
dich an der Entwicklung von offenen, innovativen Lösungen und Funktionalitäten,
die es heute noch nicht gibt.
\n\n\n\n
Setze die Veröffentlichung von
öffentlich geförderter Forschung in Open Access-Zeitschriften oder Open Plattformen
bzw. Repositorien als unbedingt erforderlichen Grundstatus. Verhänge Strafen
für diejenigen, die sich nicht an dieses Mandat halten.
\n\n\n\n
Eliminiere
den durch die Praktiken des “publish or perish” entstehenden Druck, indem
auf vielfältigere Forschungsergebnisse und -prozesse für Evaluations- und
Bewertungskriterien fokussiert wird.
\n\n\n\n
Unterstütze Forscherinnen
und Forscher dabei, Kontrolle über diejenigen Forschungs- und Evaluierungsprozesse
zu erhalten, die ihrer Meinung nach am meisten zum wissenschaftlichen Fortschritt
in der eigenen Disziplin und darüber hinaus beitragen werden.
\n
\n\n\n\n
3.
Was ist Open Scholarship?
\n\n\n\n
Mit ideologischen Wurzeln in vielen
Openness-Bewegungen, die bis in die Zeit der Aufklärung zurückreichen hat
sich sich die Bewegung des Open Scholarship in den letzten zwei Jahrzenten
– und sowohl ermöglicht als auch befeuert durch die Digitalisierung der Wissenschaftswelt
– von einer Sammlung kleinerer und verstreuter Aktivitäten hin zu einem breiten
internationalen Netzwerk von Institutionen, Organisationen, Regierungen, praktizierenden
Einzelindividuen sowie Verfechterinnen und Verfechtern der Ideen hinter Openness
in der Wissenschaft. Während schon bedeutende Fortschritte in der Erweiterung
von Theorie und Praxis von Open Scholarship erzielt wurden (siehe z.B. Peters et al., 2012, Friesike et al., 2013, Munafo et al., 2017)), so sind Open Scholarship-Praktiken
und -Werte in den meisten Forschungsdisziplinen bei Weitem noch nicht die
Norm, und die Akzeptanz der durch Offenheit in der Wissenschaft proklamierten
Werte ist weltweit ungleich verteilt.
\n\n\n\n
In
diesem Dokument verstehen wir den Begriff “Open Scholarship” als eine inklusiv
gedachte und somit weit gefasste Perspektive auf den Prozess von, die Kommunikation
in und über, und die Wieder- und Weiterverwendung (Remix) von Wissenschaft
und Forschung, sowie die Auseinandersetzung der eigenen Rolle im größeren
sozialen Kontext der Gesellschaft, und eine Inklusion dieser unter den Vorzeichen
von Offenheit/Openness.
Dies
hat zur Folge, dass es heute zahlreiche konkurrierende, parallele oder sich
überschneidende Definitionen dessen gibt, was Open Scholarship sowohl in Bezug
auf Forschungsprinzipien als auch auf die Praktiken umfasst – alle mit dem
Ziel, eine Bewegung zu beschreiben, die die Förderung des wissenschaftlichen
Wachstums unter den Gegebenheiten einer freien und öffentlichen Zugänglichkeit
anstrebt.
\n\n\n\n
Hierbei erachten wir es nützlich, Open Scholarship
als “boundary object” (Moore, 2017) zu betrachten, da es dadurch flexibel anpassungsfähig
ist, in verschiedenen Communities in seiner Ausprägung unterschiedlich interpretiert
wird, jedoch genügend unveränderliche Kerninhhalte mit sich bringt, um eine
intrinsische Integrität beizubehalten. Neben dem “Virtues of Openness”-Ansatz
von Peters und Roberts, 2012 halten wir die fünf Denkschulen
aka. “schools of thought” von Fecher und Friesike, 2013 für nützlich, um die vorliegende
Strategie anhand der dort genannten Ausprägungen zu rahmen; diese beinhalten
einen Fokus auf: Infrastruktur, Datenerfassung,
Öffentlichkeit, demokratische Werte und
Pragmatismus. Darüber hinaus schlagen wir hiermit eine Erweiterung
um eine sechste Schule mit Fokus auf Gemeinschaft und Integration
vor, die den Entwicklungen in diesem Kontext innerhalb der letzten fünf Jahre
(und darüber hinaus) Rechnung trägt. Erwähnt werden soll hier auch das OCSD
(Open and Collaborative Science in Development) Network, das ein Open Science Manifesto für inklusiv-integrativ ausgelegte
Open Science mit Blick auf soziales und umweltbewusst-ökologisches Selbstbewusstsein
verfasst hat, welches zur Rahmung der hier vorliegenden Strategie von großem
Nutzen sein kann.
\n\n\n\n
Diese vorangegangenen Arbeiten waren und sind
weiterhin entscheidend für die Schaffung einer zentralen Identität der weltweiten
Open Scholarship-Community, da diese Argumentationslinien zur Befürwortung
von Open Scholarship gegenüber der breiteren Gesellschaft sichtbar werden
und damit eine Grundlage geschaffen wird, um die weltweite Bewegung voranzubringen.
\n\n\n\n
Um
das volle Potenzial und die Vision von Open Scholarship zu verwirklichen,
sind wir der Meinung, dass ein Dokument hilfreich sein kann, das die Zusammensetzung
von Open Scholarship als Bewegung kritisch hinterfragt und eine strategische
Perspektive einnimmt, um darzulegen, wie wir als globale Bewegung konkrete
Schritte zur Erreichung dieser Ziele identifizieren können. Denjenigen, die
mit manchen Begrifflichkeiten der Welt des Open Scholarship (noch) nicht vertraut
sind, möchten wir vertrauensvoll auf das Open Research Glossar hinweisen, welches durch die Right
to Research Coalition zur Verfügung gestellt wird.
Ein Movement kann definiert werden als “eine Gruppe von
Menschen, die zusammenarbeiten, um ihre gemeinsamen politischen, sozialen
oder künstlerischen Ideen voranzubringen”. Unterstützung erfährt Open Scholarship
von zahlreichen und enorm vielfältigne Gruppe von Menschen, darunter auch
Bürgerinnen und Bürger ohne akademischen Hintergrund, Aktivisten, Dozierende
und Studierende auf verschiedenen akademischen und beruflichen Ebenen sowie
Forschungsinstitute, wissenschaftliche Verlage, Bibliothekare, politische
Entscheidungsträger und Nichtregierungsorganisationen (NGOs). Die Mitglieder
dieser Communities kommen aus Ländern rund um den Globus und haben unterschiedlichste
sozioökonomische Hintergründe und Motivationen.
\n\n\n\n
Open Scholarship
muss daher eine Reihe unterschiedlicher sozialer, wirtschaftlicher und kultureller
Kontexte, unter denen diese verschiedenen Gemeinschaften und Interessengruppen
vereint sind, mit einbeziehen. Wie oben schon angedeutet ist diese Vielfalt
zwar einerseits eine Stärke der Open Scholarship-Bewegung, da sie eine Vielzahl
von Perspektiven, Erfahrungen, Kapazitäten und Ressourcen mitbringt – sie
stellt die Bewegung aber auch vor Herausforderungen in Bezug auf die strategische
Ausrichtung, das Finden gemeinsamer Pläne sowie den Aufbau gemeinsamer Governance-
und Koordinationsstrukturen.
\n\n\n\n
Die Annahme, die vermutlich den
breitesten Zuspruch unter den zahlreichen Open Scholarship-Stakeholdern erntet,
ist die Überzeugung, dass eine verstärkte Akzeptanz von Open Scholarship-Praktiken
– und damit im Allgemeinen einfach offenen Praktiken – eine gute
Sache darstellt, da sie sowohl der Forschungsgemeinschaft als auch der
Umwelt, den weltweiten Volkswirtschaften sowie der breiteren Gesellschaft
insgesamt größere Vorteile bringen würde.
\n\n\n\n
Aufbauend auf dieser
grundlegenden Wertesetzung können wir also beginnen, sowohl die zentralen
Herausforderungen als auch die vielfältigen sich ergebenden Möglichkeiten
für Open Scholarship zu identifizieren, um strategische Elemente zu definieren,
die auf verschiedenen Ebenen und durch unterschiedliche Interessengruppen
übernommen bzw. adaptiert werden können.
\n\n\n\n
Daraus können wir ein
gemeinschaftliches Verständnis für die Art der nötigen Maßnahmen gewinnen,
die ergriffen werden können, um die Sache des Open Scholarship voranzubringen.
\n\n\n\n
4.1
Gemeinsame Perspektiven
\n\n\n\n
4.1.1 Grundlegendes Werte-Versprechen
\n\n\n\n
Open
Scholarship macht Forschungsergebnisse und Praktiken in Wissenschaft und Forschung
zugänglicher und inklusiver und erweitert unseren Horizont über die Möglichkeiten
von Bildung, Wissenschaft und Forschung.
\n\n\n\n
4.1.2 Übergreifende
Ziele und Vision
\n\n\n\n
Forschungspraktiken und wissenschaftliche
Kommunikation entwickeln sich stetig weiter. Obwohl das Word Wide Web mit
seinem Ansatz einer Dezentralisierung der wissenschaftlichen Kommunikation
ursprünglich vor rund 30 Jahren als Gegenentwurf zu überkommenen Informationsmanagements-Hierarchien
entwickelt wurde (Berners-Lee, 1989), hat die sonst allgegenwärtige Präsenz
des Web einen Großteil der bereits existierenden wissenschaftlichen Publikationsmodelle
sowie der damit befassten Industrie im Großen und Ganzen unverändert gelassen.
Die so wahrgenommene langsam fortschreitende Entwicklung bzw. gar Trägheit
kann möglicherweise auf das breite Spektrum unterschiedlichster Akteure in
diesem Bereich und ein fast schon traditionelles Beharren auf eigene Interessen
und Positionen, z.B. zu Fragen des Urheberrechts, Prestige und Renommée etablierter
Journal-Titel, sowie die Bewertung und das Assessment von Forschung zurückgeführt
werden.
\n\n\n\n
Doch haben sich auch im Sektor der Wissenschaftskommunikation
schon Perspektiven auf die Vorteile des Webs entwickelt: so ist beispielsweise
eine verbreitete Sicht, dass wissenschaftliche Kommunikationsprozesse zunehmend
die Macht webnativer Technologien nutzen sollten, um von den Vorteilen des
semantischen Webs zu profitieren, das effiziente Vernetzung, Kollaboration
und Transparenz in Wissenschaft und Forschung verspricht (siehe dazu z.B.
Hitzler, 2010 oder Pomerantz, 2015).
\n\n\n\n
Die Angleichung der
bestehenden Prozesse von Forschung und Lehre an dieses Ideal wird im Kontext
des Open Scholarship weitgehend einhellig gefordert, und so hat in den vergangenen
zehn Jahren eine nicht von der Hand zu weisende rapide Zunahme an Innovationen
in Wissendschaft und Forschung stattgefunden.
\n\n\n\n
Die primäre Vision,
die wir mit Optimismus verfolgen, ist in drei Teile gegliedert und fordert,
\n\n\n\n\n
Dass
alle Bildungmaterialien und Forschungsoutput als globales Gemeingut allen
Mitgliedern der Öffentlichkeit, die davon profitieren wollen, zur freien Weiternutzung
zugänglich sein sollten.
\n\n\n\n
Dass der aus offener Wissenschaft
und Forschung erzielte Mehrwert auch in die breitere Gesellschaft zurürckgespielt
und integriert wird.
\n\n\n\n
Dass es allen Menschen ermöglicht wird,
nach eigenem Wunsch und Willen frei und ungehindert in diesem Prozess zu partizipieren
und selbst beizutragen.
\n\n\n\n\n
4.1.3 Definition als Grenzobjekt
/ boundary object
\n\n\n\n
Durch die Setzung als Grenzobjekt
bzw. boundary object(Star & Griesemer, 1989) ermöglicht uns Open Scholarship,
verschiedene Kategorien und Bedeutungsräume quer über unterschiedlichste Communities
of Practice auszubalancieren. Dadurch wird die Festlegung und Aushandlung
solcher Grenzobjekte ein Schlüsselprozess für die Entwicklung und Aufrechterhaltung
der Kohärenz zwischen den sich überschneidenden Communities.
\n\n\n\n
Weit
gefasst lassen sich die Kernaspekte von Open Scholarship anhand von zwei Hauptkategorien
einteilen: Praktiken und Prinzipien. Erstere
Kategorie betrifft Aspekte wie Open Access, Open Data und Open Evaluation.
Zu den Kernprinzipien von Open Scholarship gehören Partizipation, Gleichheit,
Transparenz, Fairness, kognitive Gerechtigkeit, Zusammenarbeit, Verteilungsgerechtigkeit
und Inklusivität; Aspekte, die in traditionellen Wissenschaftspraktiken vielfach
verloren gegangen scheinen. Grundlegend ist man sich einig, dass die Kombination
dieser Praktiken und Prinzipien zu einem besseren Forschungsprozess führen
wird, die alle unter dem breiten Begriff Open Scholarship zusammengefasst
sind. Und in der Tat ist bspw. Watson (2015) der Ansicht, dass diese Attribute nicht
ausschließlich für Open Scholarship gelten, sondern grundlegende Schlüsselmerkmale
von guter Wissenschaft insgesamt sein sollten.
\n\n\n\n
Wir erkennen
jedoch an, dass Open Scholarship in seiner derzeitigen Form als Konstrukt
nicht unbedingt leicht verständlich ist, u. a. weil sich im Diskurs um Opennes
zahlreiche Fach-Termini und ein fast schon distinkt eigene Sprache herausgebildet
hat. Wir erkennen voll und ganz an, dass diese damit selbst eingeführten Hindernisse
überwunden werden müssen, um eine möglichst breite Partizipation und Engagement
zur Etablierung der Prinzipien und Praktiken von Open Scholarship zu ermöglichen
(Masuzzo
und Martens, 2017).
Vier
Hauptelemente sind Voraussetzung für die Verbreitung von Open Scholarship:
\n\n\n\n\n
Nutzende:
Bewusstsein bei Akteurinnen und Akteure gegenüber Open Scholarship, um sich
aktiv-reflektierend mit den entsprechenden Praktiken auseinanderzusetzen.
\n\n\n\n
Prozess:
Open Scholarship-Tools, anhand derer die Verbreitung von Open Scholarship-Praktiken
geleitet und gesteuert werden kann.
\n\n\n\n
Kontext:
Systemische Unterstützung durch Communities und beteiligte Stakeholder zur
Schaffung eines nachhaltigen Umfelds für Open Scholarship.
\n\n\n\n
Anreize:
Motivationsanlässe für Externe, sich mit Open Scholarship-Praktiken auseinanderzusetzen.
\n\n\n\n\nAngelehnt an die Foster Open Science Taxonomy (CC BY 4.0). Bitte
beachte: diese Taxonomie erhebt keinen Anspruch der Abbildung aller möglichen
Aspekte von Open Science & Scholarship dar, vielmehr wird hier hauptsächlich
auf den forschungsfokussierten Bereich Open Science eingegangen und bspw.
Open Education oder Wissenschaftskommunikation im weiteren Sinne ausgeklammert
(Notiz T.S.) .\n\n\n\n
4.2 Vielzahl an Perspektiven
\n\n\n\n
Neben
den schon genannten Gemeinsamkeiten gibt es auch Spannungen zwischen unterschiedlichen
Ansichten, wie Open Scholarship-Praktiken am Besten implementiert werden können.
Daher scheint es wichtig, hier nochmals darauf zu verweisen, dass die Agenda
hinter Open Scholarship zahlreiche Stakeholder mit unterschiedlichen Motivationen,
Interessen und kulturellen Hintergründen zusammenbringt – eine One-Size-Fits-All-Lösung
könnte daher unter Umständen lokalen Interessen schaden (dies gilt aber auch
umgekehrt).
\n\n\n\n
Andererseits hat sich in den vergangenen Jahren
durchaus der Bedarf herauskristallisiert, die zahlreichen existierenden Strategien
von Openness-Communities so zusammenzuführen, dass Handlungen und potentielle
zukünftige Strategien derjenigen mit ähnlichen Zielen nicht gegenläufig realisiert
werden. Im Open Scholarship-Kontext können wir folgende potentielle “Störungszonen”
identifizieren, die einer Erstellung einer kohärenten Strategie abträglich
sind:
\n\n\n\n
4.2.1 Geografische Besonderheiten
\n\n\n\n
\n
Es
gibt bereits Hunderte von Einzelinitiativen und Organisationen, die weltweit dazu
beitragen, Open Access auf verschiedensten Ebenen anzubieten und zu fördern.
\n\n\n\n
Es
gibt bereits Tausende von Einzelinitiativen und -organisationen, die weltweit
dazu beitragen, offene Bildung / Open Education auf verschiedenen Ebenen zu
fördern und entsprechende Angebote zu entwickeln.
\n\n\n\n
Hohe Kosten
im Zusammenhang mit manchen Arten von Open Access-Publikationen können aktiv
Forschende aus Ländern mit niedrigem und mittlerem Einkommen (LMICs) ausschließen.
\n\n\n\n
Beachte,
dass viele populäre Indexierungsdienste wie Scopus und Web of Science einen
expliziten Bias gegenüber Journals aus Entwicklungsländern oder solchen, die
kein Englisch als Hauptsprache haben, aufweisen (Mongeon und Paul-Hus, 2016).
\n\n\n\n
Es muss
sichergestellt werden, dass jedes Open Scholarship-Narrativ die unterschiedlichen
Weltanschauungen, Erfahrungen und Herausforderungen verschiedenster geografischer
Gegebenheiten wie bspw. Lateinamerikas, Asiens, Afrikas und des Nahen Ostens
mitdenkt, so diee bspw. im Open Science Manifesto beschrieben sind.
\n
\n\n\n\n
4.2.2
Besonderheiten zwischen verschiedenen wiss. Disziplinen
\n\n\n\n
\n
Da
der im Allgemeinen gebräuchlichere Begriff des “Open Science” den Ausdruck
“Science” enthält, kann dies zu einer impliziten oder auch offenen Exklusion
von Forschenden aus den Bildenden Künsten, den Geistes- und Sozialwissenschaften,
den Ingenieurwissenschaften, der Mathematik sowie zahlreichen anderen Bereichen,
die je nach eigener Schule nicht als “reine Wissenschaft” angesehen werden
könnten, führen. Dieses Problem scheint linguistisch bedingt hauptsächlich
auf Forschende mit englisch-muttersprachlichem Hintergrund beschränkt zu sein,
strahlt aber durch die Verwendung der englischen Denominationen auch auf Diskurse
anderer Nationalitäten ab. Begriffe wie “e-Research” und “Digital Humanities”
beschreiben ähnliche Praktiken aus unterschiedlichen Communities, die die
gleiche grundlegende Problematik aufweisen.
\n\n\n\n
Es bestehen Unterschiede
in der Einstellung und der Akzeptanz der unterschiedlichen Openness-Praktiken.
Beispielsweise sind viele Open Science-Praktiken auf empirische und quantitative
Forschung ausgerichtet und erfordern daher andere Evaluations- und Anreizstrukturen
als andere wissenschaftliche Disziplinen.
\n\n\n\n
Berücksichtigung
domänenspezifischer Probleme. So ist beispielsweise die Berücksichtigung von
Schwankungen in der Versorgung mit bioogischen Hilfsmitteln verschiedener
Laborunternehmen ein wichtiges Thema für die Reproduzierbarkeit der Forschung
in der Biologie. Die Verfügbarkeit und der Wille zur Bereitstellung eigener
Arbeiten in Form von Open Access-Büchern scheint (noch) ein großes Problem
in den Geisteswissenschaften (Eve, 2014) darzustellen, jedoch weniger in den MINT-Disziplinien,
und werden daher insb. im Open Science-Diskurs oft ausgeblendet.
\n\n\n\n
Derzeit
existieren nur wenige Preprints aus der pharmazeutischen Industrie und keine, die primäre klinische
Daten abdecken. Des weiteren ist zu konstatieren, dass gegenwärtig erhebliche
Hindernisse für Preprints der im Kontext der Pharmaindustrie erstellten Forschungsarbeiten
bestehen.
\n
\n\n\n\n
4.2.3 Besonderheiten bzgl. der Stakeholder
\n\n\n\n
Wenn
man die Bandbreite der Akteur_innen-Gruppen mit direktem Interesse an einer
(Weiter-)Entwicklung von Open Scholarship betrachtet – Forschende, Studierende,
Förderinstitutionen, Bibliothekarinnen und Bibliothekare, Forschungsmanager_innen,
wissenschaftliche Gesellschaften, Anbieter von IT-Infrastruktur, Industrie
sowie die Zivilgesellschaft in ihrer ganzen Breite, Wissenschaftsverlage sowie
weitere Dienstleistende im Feld des Open Scholarship, Pädagoginnen und Pädagogen,
Lehrende, NGOs und politische Entscheidungsträger – so wird schnell deutlich,
dass sich jede dieser Gruppen aus verschiedenen Gründen in der Verwirklichung
von Open Scholarship engagiert, und dabei die eigenen Ziele – je nach intrinsischer
Motivation – in Konflikt miteinander stehen können.
\n\n\n\n
So gibt
es beispielsweise im Hinblick auf Open Access kaum Konsens darüber, wie dies
auf einer Vielzahl von Dimensionen (geografisch, institutionell, individuell)
am besten zu erreichen ist. Aus den hier entstehenden Spannungen ergibt sich
– vielleicht nicht überraschend – ein Fehlen klar definierter strategischer
Prioritäten zur Klärung von Konflikten im Feld des Open Access, mit denen
zwischen verschiedenen Gruppen von Stakeholdern, die oft auf der Grundlage
konkurrierender Interessen agieren und sich auf zahlreichen Ebenen in Kommunikation,
Politik und Praxis durchsetzen, vermittelt werden könnte.
\n\n\n\n
Daraus
ergibt sich eine besondere Komplexität im Beziehungsgeflecht zwischen den
an der Wissenschaftskommunikation und den in allen Feldern des Open Scholarship
beteiligten Akteurinnen und Akteuren. Einige der am Kontroversesten diskutierten
Punkte betreffen:
\n\n\n\n
\n
die Auswahl geeigneter Lizensierungsraster
für Forschungsdaten;
\n\n\n\n
woher die Finanzierung wissenschaftlicher
Publikationstätigkeiten kommen soll;
\n\n\n\n
Wer für wissenschaftliche
Forschungsinfrastruktur zuständig und verantwortlich zeichnen;
\n\n\n\n
wie
ein optimales Open Access-Modell aussehen kann und welche Eigenschaften damit
einhergehen;
\n\n\n\n
die Rolle von gemeinnützigen non-profit Vereinen
und Stiftungen und martwirtschaftlich-gewinnorientierten Akteuren; und
\n\n\n\n
wie
Konflikte zwischen verschiedenen Stakeholdern geschlichtet werden können.
\n
\n\n\n\n
Dies
ist selbstverständlich eine unvollständige Liste aller offenen Punkte, durch
die aber schon deutlich wird, dass Konfliktlösungen und Kompromissfindung
im Bereich der Wissenschaftskommunikation in unterschiedlichsten Variationen
geschehen kann, die sich um die Kernthemen der Unabhängigkeit von Wissenschaft
und Forschung, Governance-Strukturen und Finanzierung drehen.
\n\n\n\n
4.3
Umfang der Ziellerreichung von Open Scholarships, um die Bewegung als erfolgreich
zu betrachten
\n\n\n\n
Es gibt unterschiedliche Meinungen und insgesamt
fehlenden Konsens darüber, in welchem Ausmaß die Ziele von Open Scholarship
erreicht werden müssen, um die Open Scholarship-Bewegung insgesamt als erfolgreich
zu deklarieren. Teilweise ist dies auf das Fehlen klar definierter Ziele zurückzuführen,
was bedeutet, dass es bisher schwierig war, einen klar formulierten Weg mit
definierten Zwischenzielen festzulegen. Die Gesamtlage der unterschiedlichen
und teilweise konkurrierenden Akteure sowie der Vielzahl komplexer Prozesse
trug dazu auch nur bedingt bei.
\n\n\n\n
Manche Aspekte scheinen jedoch
von allen Beteiligten allgemein akzeptiert werden zu können:
\n\n\n\n
\n
Die
Umgestaltung des derzeitigen Marktes für wissenschaftliche Kommunikation in
einer Art, so dass Open Scholarship und entsprechende Dienstleistungen zum
Standardmodell für Forschungsprozesse und -ergebnisse wird.
\n\n\n\n
Die
Verlagerung öffentlicher Finanzierungsmodelle, um die Ausbreitung von Diensten
und Ergebnissen anstelle des bisher praktizierten Einkaufs einzelner Kopien/Abonnements
von Inhalten zu finanzieren.
\n\n\n\n
Bereitstellung einer ausreichend
hohen Qualität und Vielfalt an Dienstleistungen, um Wissenschaftlerinnen und
Wissenschaftlern eine angemessene Auswahl zu ermöglichen.
\n\n\n\n
Das
Mainstreaming von Open Scholarship, so dass dieses in Bezug auf Reichweite,
Adaption, Anreizsystemen und Anrechenbarkeit eine lohnenswerte Alternative
zu traditionellen Verfahren darstellt.
\n\n\n\n
Aufbau einer signifikanten
Anzahl von Bildungs-, Ausbildungs- und Unterstützungssystemen, die auf der
Entwicklung von Open Scholarship-Skills basieren.
\n\n\n\n
Ablösung
des gesamten traditionellen Wissenschafts- und Forschungs-Workflows durch
Open Scholarship-Methoden.
\n\n\n\n
Ablösung proprietärer Softwarelösungen
im Wissenschafts- und Forschungs-Kreislauf durch Freie und Open Source-Software
(FOSS/FLOSS)
\n\n\n\n
Messbare Steigerung der Qualität von Forschungsleistung
und -ergebnissen, die zu verbesserten Karriereaussichten sowie sozialem, akademischem
und wirtschaftlichem Wachstum und Innovation führt.
\n\n\n\n
Übernahme
vollständiger Abdeckung durch Open Access durch die Förderorganisationen;
Förder-Richtlinien, die explizit die Verwendung von Preprints und anderen
Pre-Publikationsformen in Förderanträgen ermöglichen, sowie die Berücksichtigung
nicht-traditioneller Forschungsergebnisse.
\n
\n\n\n\n
5. Wichtigste
strategische Prioritäten
\n\n\n\n
Unter Berücksichtigung der oben genannten
strategischen Ziele und Erfolgskriterien ist es möglich, mehrere Maßnahmen-Cluster
zu definieren, die umgesetzt werden müssen, um die genannten Ziele und Kriterien
zu erreichen. Auch wenn es zwar keinen klar proklamierten Konsens der Open
Scholarship-Bewegung darüber oder über die explizite Reihenfolge von Priorisierung
gibt, so besteht doch Einigkeit darüber, dass alle diese Maßnahmen zumindest
bis zu einem gewissen Grad wichtig sind.
In der Überzeugung, dass es eine ungleiche
und ungerechte Verteilung des Zugangs zu Wissen gibt, hat Open Scholarship
zum Ziel, Wissen aus Wissenschaft und Forschung (einschließlich Publikationen,
Code, Methoden, Daten und Lehrmaterialien) für alle mit Zugang zu moderner
Technologie (z.B. Computer und Internetanschluss) frei zugänglich und weiter
nutzbar zu machen. Insbesondere muss dies für öffentlich geförderte Wissenschaft
und Forschung gelten.
\n\n\n\n
Wichtig ist, dass der demokratische Aspekt
von Open Scholarship nicht nur die Forderung nach gleichem Zugang zu Wissen
beinhält, sondern auch die offene Befähigung, mit gleichen Möglichkeiten zum
Wissen beizutragen, und mit gleichen Rechten an den Entscheidungen der globalen
Gemeinschaft teilzunehmen, die sich auf die Schaffung und Verbreitung von
Wissen auswirken. Letzteres bedeutet, dass Open Scholarship konträr zu auf
Machtstrukturen basierenden, geschlossenen Institutionen wie exklusiven Vereinen
und Clubs steht, die auf eine kleine Anzahl von Teilnehmern beschränkt sind,
welche für die gesamte internationale Gemeinschaft entscheiden – egal ob diese
geschlossenen Vereinigungen von institutionellen und staatlichen Geldgebern
unterstützt werden oder exklusive Bottom Up-Organisationen darstellen (z.B.
kleine Gruppen angesehener Autorinnen und Autoren).
\n\n\n\n
In der Tat
scheint es ziemlich unwahrscheinlich, dass mehr als 10 Millionen hochgebildete
und intelligente Wissenschaftlerinnen und Wissenschaftler sich mit Regeln
einverstanden zeigen würden, die ohne ihr Zutun von einer kleinen Anzahl von
Menschen (oder – schlimmer noch – von Advokatengruppen mit primär finanziellen
Interessen) für sie eingeführt wurden. Ein wahrscheinlicheres Szenario ist,
dass die neuen Regeln für Open Scholarship in öffentlicher Diskussion durch
viele gemeinsame Projekte in kollektiv-geteilter Erstellung – genau wie die
hier vorliegende Strategie – erscheinen werden.
\n\n\n\n
Es wurden zahlreiche
spezifizierte Maßnahmen und Herangehensweisen vorgeschlagen, um demokratische
Werte in Open Scholarship dezentral zu verwirklichen, darunter Peer-to-Peer-
und Blockchain-basierte Mechanismen.
\n\n\n\n
Wenn wir auf die Etablierung
von Prinzipien des Open Scholarship hinarbeiten, erkennen wir an, dass es
potentiell Komplexität oder sogar Konflikte auf diesem Weg geben wird, wenn
sich Richtlinien, Policies und Arbeitspraktiken weiterentwickeln. Das Bewusstsein
für die breitere Wissenschafts-, Forschungs-, und Bildungslandschaft wird
dazu beitragen, Open Scholarship so zu positionieren, dass es die größtmögliche
Wirkung entfalten kann und das Potenzial anderer, gegenläufiger Policies und
Prioritäten abschwächt. So sollten beispielsweise Vorschläge zur Novellierung
des Urheberrechts in der EU, die eine Beschränkung der Befugnis zur Durchführung
von TDM (Text und Data Mining) oder Maßnahmen zur Förderung des geistigen
Eigentums (IP) und der Kommerzialisierung vorsehen, mit Maßnahmen, die eine
breite Nutzung von Daten, Forschung und Wissen ermöglichen, in Einklang gebracht
werden. Es gibt eine Reihe von aktuellenInitiativen,
die auf die Entwicklung von Copyright-Frameworks hinarbeiten, die der Sache
von Open Scholarship zuträglich sind.
\n\n\n\n
Weitere spezifische Aspekte
beinhalten:
\n\n\n\n
\n
Open
Access-Publishing, das nicht nur freien Lesezugriff, sondern auch die
Wiederverwendung und Verbreitung in größtmöglichem Umfang ermöglicht. Viele
glauben, dass der Zugang zu Erkenntnissen aus Wissenschaft und Forschung ein
grundlegendes Menschenrecht darstellt.
\n\n\n\n
Eines der stärksten
Argumente für Open Access besteht in der Annahme, dass öffentlich (oder durch
das öffentliche Steuersystem) finanzierte Forschung und deren Ergebnisse auch
der Öffentlichkeit zugänglich sein sollte. Die in einigen Bereichen stark
zunehmende Finanzierung von Forschungsvorhaben durch den Privatsektor ist
derzeit nur schwer mit dieser Ansicht und Forderung zu vereinbaren.
\n\n\n\n
Open
Licensing / Offene Lizenzen, Lizenzierung und Urheberrechtsverzicht-/abtretungen,
die sowohl für Menschen als auch für Maschinen lesbar sind. Üblicherweise
wird dies durch eine Kombination aus Creative Commons und Open Source-Lizenzierung erreicht.
\n\n\n\n
Abkehr
von üblichen Patentierungspraktiken.\n
\n
Als Beispiel für einen offenen
Ansatz des Patentmanagements kann das “weak licensing – strong certification”-Modell
gelten – ein Ansatz, der besonders in der Medizin einfache Anwendung finden
kann, da dort therapeutische Geräte oder Wirkstoffe im Sinne des Patentrechts
nur schwach lizensiert sind, aber die Anforderungen zum Markteintritt von
der Regulierungsbehörde hoch gesetzt werden.
Geänderte
Veröffentlichungsnormen, um alle Objekte innerhalb eines Forschungsbeitrags
mit den FAIR-Prinzipien in Einklang zu bringen.\n
\n
Die leichte Verfügbarmachung
von Software und Code, sowie die Sicherung von Wiederverwendbarkeit, Zitierbarkeit
sowie formelle Anerkennung gemeinsam mit Forschungsartikeln, Daten und Metadaten.
\n\n\n\n
Etabliere
eine breitere Nutzung von Datenrepositorien und Data Journals, um das nicht
durch wiss. Verlage eingeschränkte Teilen von Forschungsergebnissen zu ermöglichen.
Somit wird die Wiederverwendung von Daten durch andere in einer Weise ermöglicht,
die entweder von den ursprünglichen Erstellern vorhergesehen ist, oder auch
neue, bisher unvorhergesehene Anwendung finden kann.
\n\n\n\n
Da eine
der größten Schwierigkeiten für die Einhaltung dieser Vorgaben der zusätzliche
(gefühlte) Aufwand ist, um die Arbeit auf eine mit den Richtlinien konforme
Art und Weise zu teilen, sind (teil-)automatisierte oder möglichst unkomplizierte
Verbreitungsmethoden von entscheidender Bedeutung.
\n
\n
\n\n\n\n
Forschungsdaten-Repositorien
und die gemeinsame Nutzung physikalischer Forschungsergebnisse.\n
\n
Der
Austausch von Forschungsmaterialien ist entscheidend für die Reproduzierbarkeit
und Redundanz-Reduzierung von Forschung sowie zur Förderung einer offenen
wissenschaftlichen Zusammenarbeit. Zahlreiche diesbezügliche Aspekte wurden
von Science Commons empirisch untersucht.
\n
\n
\n\n\n\n
Austausch
von kuratiertem und kommentiertem/annotiertem Material innerhalb von Communities
ohne restriktive Lizenzverträge oder komplexe Materialtransfervereinbarungen,
die den wissenschaftlichen Fortschritt aufgrund komplexer Rechtssprache oder
strenger Nutzungsbedingungen verlangsamen.
\n\n\n\n
Vereinheitliche
Material Transfer Agreements (MTAs) und Open Scholarship Trust Agreements
(OSTAs) – rechtliche Vereinbarungsvorlagen, die für jede Forscherin und jeden
Forscher, unabhängig von der Disziplin, an jeder Institution leicht geändert
werden können, um fast alle Kategorien von Forschungsmaterialien, die sie
im Laufe ihrer Forschung generieren, einfach zu teilen und effiziente, offene
und kooperative wissenschaftliche Praktiken zu ermöglichen. Das Prinzip wird
bei Edwards et al (2017) wie folgt näher beschrieben: “The core feature of
trusts—holding property for the benefit of others is well suited to constructing
a research community that treats reagents as public goods.” Edwards et al (2017)
\n\n\n\n
Z.B. OSTA-Vorlage:
SGC “click-trust”-Vereinbarung
z.B. MTA (Material Transfer Agreement)-Vorlagen über Science Commons
Dem Grundsatz folgend, dass die
Schaffung von Wissen durch Zusammenarbeit effizienter und durch Kritik gestärkt
wird, versucht Open Scholarship Netzwerkeffekte zu nutzen, indem es Wissenschaftlerinnen
und Wissenschaftler verbindet und Prozesse aus Wissenschaft und Forschung
auf allen Ebenen transparent macht.
\n\n\n\n
Eine solche Optimierung
kann durch die Modularisierung des Wissensbildungs-Prozesses, die Öffnung
der wissenschaftlichen Wertschöpfungskette, die Integration externer Wissensquellen
und kollektiver Intelligenz sowie die Erleichterung der Zusammenarbeit durch
Online-Tools und -Plattformen erreicht werden. Diese Art von Openness/Offenheit
im Forschungsprozess selbst stellt einen Paradigmenwechsel weg vom traditionell
geschlossenen und unabhängigen Charakter der Forschung dar.
\n\n\n\n
Weitere
wichtige Aspekte beinhalten:
\n\n\n\n
\n
Hinter Forschung liegende
Prozesse sollten o transparent wie möglich und so geschlossen wie nötig
sein (z. B. um sensible Daten zu schützen).
\n\n\n\n
Reproduzierbarkeit
kann durch erhöhte Transparenz der Forschungsprozesse selbst weiter verbessert
werden (Leek
and Peng, 2015; Patil
et al., 2016), nicht nur durch die Offenlegung der Ergebnisse.\n
\n
Dies
beinhaltet Kernaspekte wie offene Methoden, Zugang zu Forschungswerkzeugen
für offenes Arbeiten sowie transparentere Forschungsabläufe rund um Preprints
und Open Peer Review.
\n\n\n\n
Dies kann helfen, die bestehenden Reproduzierbarkeitskrisen
in der Medizin, Psychologie, Ökonomie und Soziologie zu lösen.
\n\n\n\n
Wissenschaftlerinnen
und Wissenschaftler sollten bestrebt sein, die Ergebnisse in einem Forschungspapier
durch entsprechend dokumentierte Daten und Code automatisch zu generieren.
Um dies so einfach wie möglich zu gestalten, existieren mittlerweile eine
Reihe von Web 2.0-Tools.
\n\n\n\n
Verbesserung der Replizierbarkeit,
um ähnliche Schlussfolgerungen aus neuen Experimenten, Beobachtungen und Analysen
auf der Grundlage eines zuvor veröffentlichten Manuskripts zu erhalten.
\n
\n
\n\n\n\n
Sicherung
der Forschungs-Nachhaltigkeit durch verbesserten Zugang zu Fachwissen, Zusammenarbeit,
Wissensaggregation und gesteigerter Produktivität.\n
\n
Stelle sicher,
dass Forschungsergebnisse innerhalb eines Papiers dauerhaft getestet werden
– dies schließt Datenarchivierung, Versionierung von Datenständen und Langlebigkeit
der eingesetzten Software ein.
\n\n\n\n
Förderung und Weiterentwicklung
der Arbeit anderer, indem damit begonnen wird, einen schon existierenden Workflow/Codebase/Tool
zu nutzen, zu erweitern und somit insbesondere unnötige Doppelarbeit mit Blick
auf technische Aufgaben zu vermeiden.
\n
\n
\n\n\n\n
Adaption
und Einsatz der zahlreichen verfügbaren Web 2.0-Technologien für Kommunikation
und Kollaboration, die dazu beitragen, die steigenden Anforderungen an Produktivität
und Forschungskomplexität zu erfüllen.
\n\n\n\n
Viel hängt von der
Bereitschaft der Wissenschaftlerinnen und Wissenschaftler selbst ab, offen,
kollaborativ und gemeinsam zu wissenschaftlicher Forschung beizutragen.\n
\n
Die
Motivation dazu hängt sicher weitgehend davon ab, ob diese Wissenschaftlerinnen
und Wissenschaftler den Prozess in irgendeiner Weise als vorteilhaft empfinden,
z.B. indem sie einen Return on Investment in Sozialkapital oder Prestige erzielen.
\n
\n
\n\n\n\n
Viele
Instrumente zur Erleichterung und Beschleunigung wissenschaftlicher Entdeckungen
und zur Verbesserung von Forschungsprozessen existieren bereits in mindestens
einer Form.\n
\n
Dazu zählen bspw. Social-Networking-Sites, elektronische
Labor-Notebooks, Datenarchive, Online-Kollaborationsplattformen, kontrollierte
Vokabulare und Ontologien, sowie weitere Plattformen für den Forschungsaustausch.
\n\n\n\n
Ein
Kernelelement dieser Instrumente besteht darin, Wissenschaftlerinnen und Wissenschaftlern
dabei zu unterstützen, ihre Tätigkeiten mit mehr Effizienz durchzuführen.
\n\n\n\n
Die
oft kommunizierte “Disruption”, die über diese Elemente hinausgehen soll,
sowie die enge argumentative Verbindung von Forschungspraktiken mit fertigen
auf Forschungspublikationen basierenden Produkten wird die erwünschten Veränderungen
nur bedingt erreichen, da die grundlegend fehlende intrinsische Motivation
der Forschenden, sich für Prozesse zu engagieren, nicht adressiert wird –
eine Adressierung der intrinsischen Motivation durch Open Scholarship scheint
uns daher essentiell, um wirklichen Kulturwandel herbeiführen zu können.
\n
\n
\n
\n\n\n\n
5.3
Infrastruktur
\n\n\n\n
Um die Vorteile von Open Scholarship vollumfänglich
nutzen zu können, sind digitale Plattformen, Tools und Dienste für die Verbreitung
und Zusammenarbeit erforderlich. Eine solche technische Infrastruktur kann
mit aktuellen Standardtechnologien und zu wesentlich geringeren Kosten als
herkömmliche Publikationsmechanismen aufgebaut werden.
\n\n\n\n
Gegenwärtig
gibt es einen allgemeinen Mangel an Finanzmitteln und Unterstützung für kritische
Aspekte einer offenen wissenschaftlichen Infrastruktur, trotz ihrer klaren
Rolle bei der Definition von Forschungspraktiken und -abläufen.
Um
das Risiko eines Zusammenbruchs dieser offenen Web-Infrastruktur zu verringern
und ihre Kapazitäten zu erhöhen, ist eine weitere und kontinuierliche Unterstützung
durch Geldgeber für jede Art von nachhaltiger wissenschaftlicher Infrastruktur
erforderlich (siehe dazu z.B. Anderson
et al., 2017, Lewis
et al., 2018). Ein Teil der Budgets der Forschungsförderer sollte dafür
bereitgestellt werden (z.B. 2%), und Initiativen wie SCOSS und die Open
Research Funders Group sollten in dieser Hinsicht voll unterstützt werden.
\n\n\n\n
Zu
diesen unterstützenswerten Infrastruktureen zählen Elemente wie:
\n\n\n\n
\n
Standards
& Persistente Identifikatoren (PIDs);
\n\n\n\n
Shared Services,
einschließlich Abstracting/Indexing Services und Forschungsdaten (z.B. DOAJ);
\n\n\n\n
Unterstützungs-
und Verbreitungsdienste (z.B. SHERPA/RoMEO);
Automatisierung offener Praktiken (“open by
default”);
\n\n\n\n
Offene Zitierdienste, die auf ORCID- und CrossRef-Initiativen
aufbauen (z.B. opencitations
und I4OC);
\n\n\n\n
Social
Virtual Research Environments (SVREs), um die Verwaltung und den Austausch
von Forschungsobjekten zu erleichtern, Anreize für Open Scholarship zu schaffen,
bestehende Software und Tools zu integrieren und eine vollständig funktionsfähige
Gesamt-Plattform für die Durchführung der Forschung bereitzustellen;
\n\n\n\n
Interoperabilität
der Dienste (z.B. auf der Grundlage der FAIR principles); und
\n\n\n\n
Integration von
Elementen des Semantic Web: Metadaten, Harvesting, Austauschdienste (siehe
z.B. das Open Metadata Handbook).
\n
\n\n\n\n
Ähnlich
wie bei öffentlicher Infrastruktur im herkömmlichen Sinne (Straßen, Schienen,
Kanalisation, etc.) kann auch offene digitale Infrastruktur als ein Netz von
Technologien betrachtet werden, die nicht wirklich Beachtung findet, solange
sie problemlos funktioniert. Ähnlich wie ein defektes Straßensystem wird auch
bei der digitalen Infrastruktur ihr Wert für den Laien zumeist erst sichtbar,
wenn sie nicht mehr so funktioniert, wie man dies bisher gewohnt war. Als
Beispiel kann hier vielleicht der Ansatz des automatisierten und integrierten
Datenaustausches dienen – wenn sich dies als Standard durchgesetzt hat, wird
der Schritt zurück zu Einzeleinreichungen bei Online-Repositorien ohne automatische
Metadaten-Generierung erst wirklich als mühsam und ineffizient bewusst.
\n\n\n\n
Was
letztendlich mit solchen Infrastrukturen erreicht werden könnte, ist ein modernisierter
Prozess groß angelegter, datenintensiver Forschung, die durch leistungsstarke
Computercluster, die alle geographischen, technischen und disziplinären Grenzen
überschreiten, kollaborativ betrieben wird.
\n\n\n\n
Die potenziellen
sozialen Aspekte solcher Dienste bedeutet die Entstehung zusätzlicher Möglichkeiten
für eine Reihe von Anwendungsfällen – darunter erweitertes Networking, Marketing
sowie Informationsaustausch über akademische Grenzen hinweg bspw. mittels
Diskussionsforen.
\n\n\n\n
5.4 Öffentliches Gut
\n\n\n\n
Basierend
auf der Erkenntnis, dass sich echter gesellschaftlicher Impact erst mit gesellschaftlichem
Engagement in Wissenschaft und Forschung sowie einer leicht verständlichen
Kommunikation wissenschaftlicher Ergebnisse entfalten kann, hat Open Scholarship
zum Ziel, die Öffentlichkeit zur Zusammenarbeit in der Forschung durch Community
Science anzuregen und einzubinden.
\n\n\n\n
Web 2.0-Technologien sind
in der Lage, Wissenschaft durch die Bereitstellung nicht-spezialisierter Zusammenfassungen,
mittels Blogging sowie andere weniger formale Kommunikationsmethoden leichter
verständlich und zugänglich zu machen. Der gesellschaftliche Impact (z.B.
ein besseres Verständnis des Weltgeschehens) sollten für Wissenschaft und
Forschung dabei keinen Neben- oder Nischenaspekt darstellen, sondern einen
wesentlichen Teil der Motivation darstellen, in Wissenschaft und Forschung
tätig zu werden.
\n\n\n\n
Viele der genannten Punkte beziehen sich auf
die sich wandelnde Rolle der oder des Wissen Schaffenden (der Wissenschaftlerin,
des Wissenschaftlers) in einer modernen, digitalen Gesellschaft und lässt
sich auf zwei Hauptaspekte festlegen:
\n\n\n\n\n
den Einfluss, den
die breite Öffentlichkeit auf den intrinsischen Forschungsprozess nehmen kann;
und
\n\n\n\n
Das Verständnis dieser Forschung durch ein breiteres nicht-spezialisiertes
Publikum, einschließlich effektiver Methoden zur Kommunikation des Themenfelds
von Wissenschaft und Forschung.
\n\n\n\n\n
Als essentielle Elemente
sind hier zu nennen:
\n\n\n\n
\n
die Beseitigung von Hindernissen
für Wissenschaft und Forschung aufgrund von ethnischer Herkunft, Geschlecht,
Einkommen, Status, Geographie oder anderen demografischen Faktoren.\n
\n
die
Beseitigung von Hindernissen, die auf dem Zugang zu Finanz-/Fördermitteln
beruhen.
\n\n\n\n
die Einbeziehung von nicht-affiliierten/-assoziierten
und anderweitig aktiven Personen ohne Anbindung an das klassische Wissenschaftssystem,
die trotzdem eine aktive Rolle in Wissenschaft und Forschung einnehmen.
\n
\n
\n\n\n\n
Förderung
von Community Science (auch Citizen Science genannt), sowie die Einbeziehung
der Gesellschaft in die Festlegung von Forschungsprioritäten.\n
\n
Dies
eröffnet auch Möglichkeiten für die Crowdfinanzierung von Forschungsprojekten
– ein derzeit noch wenig beachteter Aspekt der öffentlichen Forschungsfinanzierung.
\n
\n
\n\n\n\n
Kontinuierliche
Dokumentation und gemeinsame Nutzung aller Forschungsergebnisse, die während
eines exponierten Forschungslebenszyklus entstehen – von Labornotizbüchern,
die während des Projekts verwendet werden, über Methoden, Materialien, Algorithmen,
Daten, Code und Papier.\n
\n
Dies kann dazu beitragen, den Austausch
zwischen Wissenschaft und Forschung und der Öffentlichkeit zu befördern, da
ein besseres Verständnis der Allgemeinheit und insbesondere durch interessierte
Laien erreicht werden kann.
\n
\n
\n\n\n\n
Aktive Nutzung und
Einbindung öffentlicher Räume wie bspw. öffentliche Bibliotheken, Museen und
Schulen.
\n
\n\n\n\n
5.5 Messung & Bewertung
\n\n\n\n
Um
das Verhalten von in Bildung, Wissenschaft und Forschung tätigen Personen
zu ändern, ist es notwendig, die Art und Weise der Reputationsgenerierung
zu ändern. Zu ändern, wie Wissenschaftlerinnen und Wissenschaftler bewertet
werden, bedeutet die Einführung neuer Metriken, die unterschiedliche Werte
und Formen wissenschaftlicher Wirkungsweisen widerspiegeln; siehe hierzu zum
Beispiel den Metric
Tide report oder den EU report on next-generation metrics.
\n\n\n\n
Jedoch
ist festzustellen, dass die Verwendung fortschrittlicher Metriken und Analysen
für die Forschungsbewertung innerhalb der Wissenschaft noch in den Kinderschuhen
steckt. In der Praxis würde die Suche nach einer Integrationsmöglichkeit von
Offenheitsmetriken der Forschung in die Algorithmen des Hochschulrankingsystems
direkt dazu führen, dass Offenheitswerte in Policies und Richtlinien eingebettet
und entsprechende Maßnahmen nach offenen Kernmetriken ausgerichtet würden.
Eine Alternative, die für viele jedoch nicht allzu attraktiv erscheint, wäre
die Abschaffung jeglicher Form von Bewertung und Messung, da dies gern rundheraus
als schlecht für den Fortschritt von Wissenschaft und Forschung angesehen
wird.
\n\n\n\n
Es gilt mittlerweile als allgemein anerkannt, dass sich
traditionelle Metriken zur Messung des wissenschaftlichen Impacts als problematisch
erwiesen haben, z.B. durch eine zu starke Fokussierung auf Journal-basierte
Publikationen oder durch eine unangemessene Anwendung innerhalb der Ebene
einzelner Journals. Als der unrühmlichste Vertreter traditioneller Metriken
muss sicherlich der Journal Impact Factor gesehen werden, eine Metrik, die
Durchschnittswerte von Zitationen verteilt auf Journals berechnet, aber auf
Artikel- und Individualebene oft unangemessen verwendet wird und die Bewertung
auf in erfassten Journals publizierte Forschungsergebnisse limitiert und damit
innovative Formen der Forschungsbewertung klar schlechter stellt, da diese
einfach nicht beachtet werden (Lariviere and Sugimoto, 2018).
\n\n\n\n
Open Scholarship
sucht nach alternativen Metriken (auch bekannt als altmetrics, die jedoch nicht mit der gleichnamigen Firma,
Altmetric verwechselt
werden sollten), welche den neuen Möglichkeiten digital vernetzter Werkzeuge
Rechnung tragen können, mit denen die Wirkung von Wissenschaft und Forschung
auch über ehemals unsichtbare Aktivitäten nachverfolgt, erfasst und messbar
gemacht werden können. Dazu gehören u.a. Social Sharing, Tagging, Bookmarks,
die Aufnahme in kuratierte Sammlungen, Adressierung verschiedener Arten von
Lesenden- und Zielgruppen, Beteiligung durch Kommentare und Diskussionen,
Rezensionen, sowie die Verwendung oder Zitierung in Nicht-Journal-Formaten,
die alle den Kontext eines Forschungsobjekts abbilden. Wichtig ist,
dass somit neue Formen der Information über die Verbreitung von Forschung
sowie den Prozess der Beteiligung und Zusammenarbeit beinhalten, die dazu
beitragen wollen, die traditionelle Sicht der Veröffentlichung als das Ende
einer eng gefassten Forschungspipeline zu erweitern.
Robustheit:
Metriken sind auf den bestmöglichen Daten in Bezug auf Genauigkeit und Umfang
aufzubauen;
\n\n\n\n
Bescheidenheit & Zurückhaltung:
In dem Bewusstsein, dass quantitative Bewertung durch Metriken eine qualitative,
sachkundige Bewertung zwar unterstützen, aber nicht ersetzen sollte;
\n\n\n\n
Transparenz:
Offene und transparente Datenerhebungs- und Analyseprozesse, damit die zu
bewertenden Personen die Ergebnisse testen und verifizieren können;
\n\n\n\n
Vielfalt:
Berücksichtigung der Variation nach Fachgebieten, zudem Verwendung einer Reihe
von Indikatoren zur Reflexion und Unterstützung der in der Forschung selbst
existierenden Pluralität sowie sich daraus ergebenden unterschiedlichen auch
nicht-traditionellen Karrierewegen der Forschenden im gesamten System von
Wissenschaft und Forschung;
\n\n\n\n
Reflexivität:
Als Metrik die systemischen und potenziellen Auswirkungen von Indikatoren
erkennen, antizipieren und in Reaktion darauf entsprechend aktualisieren.
\n
\n\n\n\n
Durch
die hier genannten Faktoren kann die Erhebung von Metriken eine zentrale Rolle
in der Zukunft von Open Scholarship spielen durch:
\n\n\n\n
\n
Veränderung
der Forschungsevaluierungs-Normen von traditionellen Metriken hin zu einer
strengeren, evidenzbasierten und vielfältigeren/ganzheitlichen Reihe von Quellen.
\n\n\n\n
Beendigung
der Verwendung des Journal Impact Factor in jeglicher Form; Verpflichtung
zu den Prinzipien und Praktiken, die in der San Francisco Declaration on Research Assessment (DORA)
sowie dem Leiden
Manifesto festgelegt sind, sowie zu einem gerechteren, objektiveren und
robusteren System der Forschungsbewertung.
\n\n\n\n
Aktiver Einsatz
alternativer Metriken – einschließlich solcher, die explizit zur Messung der
Openness entwickelt wurden (Nichols
und Twidale, 2017).\n
Untersuchung
des möglichen Nutzens einer breiten Palette potenzieller Forschungsevaluierungsquellen,
einschließlich Vorregistrierungen, registrierter Berichte (siehe “registered reports“) einschließlich solcher zu Software,
Materialien und Daten, sowie Öffentlichkeitsarbeit im weiteren Sinne und Citizen
Science.
\n\n\n\n
Wissenschaftlich fundierte Bewertung & Assessment:
Vorab-Experimente, bevor die Implementierung einer Metrik vorgenommen wird,
um den Umfang, die Verzerrungen und die Limitierungen quantitativer Maßnahmen
besser verstehen zu können.
\n
\n\n\n\n
Fragen der Transparenz und
Reproduzierbarkeit gelten sowohl für Wissenschaft und Forschung selbst als
auch für die Mechanismen, an denen unsere Forschung gemessen wird (z.B. ob
eine Metrik unabhängig reproduzierbar ist). Furner, 2014 bietet einen ethischen Rahmen für die Bibliometrie,
der auf breitere Metriken verallgemeinert werden kann.
\n\n\n\n
Natürlich
birgt auch die Einführung neuer Metriken Gefahren, da alle Metriken
in die Irre geführt bzw. mißbraucht werden können und neue Metriken neue, bisher
wenig erforschte Möglichkeiten zur Manipulation bieten. Neue Metriken lösen
auch nicht das “Publish-or-Perish”-Problem, sondern übertragen es nur. Damit
kommt den qualitativen Bewertungsverfahren auch in der Zukunft der Forschungsbewertung
eine große Bedeutung zu.
\n\n\n\n
5.6 Gemeinschaft und Integration
\n\n\n\n
Motiviert
durch die Erkenntnis, dass Forschung eine Integration möglichst aller Perspektiven
und Meinungen genauso erfordert wie die Einbeziehung einer engagierten Community
von Akteuren, versucht Open Scholarship sicherzustellen, dass Vielfalt und
Integration Grundlage aller wissenschaftlichen Konversation darstellt. Dieser
Aspekt wird zwar mit den anderen von Fecher und Frieseke (2013) definierten
Denkschulen bzw. Schools of Thought teilweise gestreift, aber aufgrund von
zahlreichen geführten Diskussionen und seitdem stattgefundenen Ereignissen
sind wir der Meinung, dass ein eigener Abschnitt hier angebracht ist, um die
Bedeutung dieses Themas hervorzuheben.
\n\n\n\n
Zu den wichtigsten Aspekten
gehören hier:
\n\n\n\n
\n
Vielfalt und Inklusivität.\n
\n
Die
Definition von Vielfalt ist in ihrer Komplexität nicht allumfassend abbildbar.
Für die Verwendung in diesem Dokument gehen wir aber davon aus, dass damit
in der Regel die Förderung von Toleranz und Einbeziehung von Menschen mit
unterschiedlichem Hintergrund gezählt werden kann. Dazu zählen für uns Dimensionen
von Ethnizität und Kultur, Psychographie, Geographie, Fähigkeiten und Fertigkeiten,
Geodiversität, Neurodiversität sowie andere demographische Aspekte.
\n\n\n\n
Es
liegt in der Verantwortung der Open Scholarship-Community als Ganzes, ein
Bewusstsein dafür zu schaffen, dass Vielfalt und Inklusivität grundlegende
Prinzipien der Gemeinschaft darstellen.
\n\n\n\n
Dazu gehört die Entwicklung
von Werkzeugen und Techniken zur Behebung bestehender Probleme; und
\n\n\n\n
die
Erstellung und Verbreitung von Forschungsressourcen.
\n
\n
\n\n\n\n
Der
gemeinschaftliche Zusammenhalt und offene Kommunikation stellen ein Grundprinzip
für die Open Scholarship-Community dar, und sollten auf alle verwandten Communities
ausgeweitet werden. Als Teil davon sollte die Community:\n
\n
geeignete
Standards entwickeln und praktizieren;
\n\n\n\n
Offene Lehr-/Lernmaterialien
und -pläne für Praktikerinnen und Praktiker bereitstellen;
\n\n\n\n
öffentliches
Gut und öffentliche Finanzierung sicherstellen;
\n\n\n\n
mit themenverwandten
oder sich inhaltlich überschneidenden Communities einschließlich derer zu
Open Science Hardware und Open Source Software zu gemeinsamen Interessengebieten
vernetzen und zusammenarbeiten.
\n
\n
\n\n\n\n
Fokus auf Community
Science (auch bekannt als Citizen Science) legen (dies liegt auch im öffentlichen
Interesse), einschließlich:\n
\n
der Bewältigung von durch die Community
gesteuerter Megaprojekte;
\n\n\n\n
der Nutzung von Spill-over-Effekte
vom und in den Bildungssektor; und
\n\n\n\n
der Stärkung der Fähigkeit,
sich intellektuell zu beteiligen, Rechenleistung, biologische Proben oder
andere Ressourcen, einschließlich Finanzmittel (Crowdfunded Research) für
Projekte aus Wissenschaft und Forschung zu spenden.
\n
\n
\n
\n\n\n\n
6.
Stärken der Open Scholarship-Bewegung
\n\n\n\n
Dieser Abschnitt der
Strategie beschreibt einige der Stärken der sog. Open Scholarship-“Bewegung”
oder auch -“Community”.
\n\n\n\n
Organisationsstruktur und gemeinschaftlicher
Impact
\n\n\n\n
\n
Die globale Wissenschaftsgemeinschaft umfasst
alle Kontinente und ist eingebettet in starke Forschungs- und Wissenschaftsinstitutionen.
Die “Openness”-Bewegung reicht über die reine Wissenschaft hinaus und hat
Verknüfpungen zu weiteren Bereiche wie Open Culture, Open Government, Open
Source und Open Society. Daher scheint der potenzielle kollektive Impact,
den die Bewegung erzielen kann, enorm – mit Auswirkungen auf die globale Gesellschaft,
beispielsweise bei der Umsetzung der UN Sustainable Development Goals.
\n
\n\n\n\n\n\n
Open
Scholarship-Aktivitäten als Teil einer breiteren Openness-Bewegung profitieren
von Synergien aus Kooperationen mit Befürwortern aus anderen Sektoren. So
wird beispielsweise Open Scholarship als Schnittstelle zu Open Education gesehen,
kann aber auch auf einen Erfahrungsschatz und Policies zurückgreifen, die
im Austausch mit der Open Source-Bewegung geformt und gestärkt wurden.
\n\n\n\n
Vielfältige
Beteiligung engagierter Individuen
\n\n\n\n
Bedeutende Erfolge in Open
Scholarship sind oft durch die Arbeit leidenschaftlich engagierter Verfechterinnen
und Verfechter möglich, insbesondere in den Bereichen Policy, Interessensvertretung
und der Einführung des Themas in neuen Bereichen.
\n\n\n\n
Für das Open
Scholarship-Movement werden sie besonders wichtig, wenn ihre Erfahrungen und
ihr Wissen durch den Aufbau von Kooperationen, Netzwerken und Gemeinschaften
und Mentorenmodellen geteilt und vervielfältigt werden können.
\n\n\n\n
Forschungskraft
und Evidenz zur Unterstützung von Open Scholarship-Praktiken
\n\n\n\n
Es
wird mehr und mehr deutlich, dass Open Scholarship in all seinen Facetten
sinnvoll erscheint. Entsprechende Übersichten bspw. von McKiernan et al., 2016, Tennant et al., 2016, sowie McKiernan, 2017 und Katz et al., 2018 können hier als Einstieg dienen. Der
Impact des Open Scholarship-Unterfangens ist mittlerweile auf zahlreichen
Ebenen – von der Praxis des Einzelnen bis hin zu inter-/nationalen Policies
zu Open Access und Open Science sichtbar.
\n\n\n\n
Wichtige Projekte,
Gruppen und Wissenschaftler haben verschiedene Aspekte von Open Scholarship
und deren Auswirkungen erforscht und als so gut wie ausschließlich positiv
bewertet. Während die Bewegung wächst, wird sich die Evidenzbasis und die
Tiefe der kritischen Analyse weiter entwickeln und reifen.
\n\n\n\n
Breite
Kreativität bei der Erarbeitung technischer und soziotechnischer Lösungen
\n\n\n\n
Als
Beispiel kann hier der “grüne” und”goldene” Weg zu Open Access dienen. Grünes
OA bezieht sich hier auf das Recht der Selbstarchivierung, wohingegen Gold
OA die Veröffentlichung in einer Open Access-Zeitschrift benennt. Obwohl davon
abgesehen auch Varianten existieren (z.B. Diamant, Bronze, Platin OA), so
haben die Modelle von Grünem und Goldenem OA die weiteste Verbreitung über
geografische, institutionelle oder sektorale Bereiche hinweg.
\n\n\n\n
Die
Zunahme und Adoption des Preprint-Modells als Methode, um Forschungsergebnisse
schneller verfügbar und transparenter zu machen. In den letzten zwei Jahren
hat dies zu einer sich schnell entwickelnden Landschaft rund um Preprints geführt, in der sich technologische
Innovationen und Praktiken der Communities gegenseitig bei der Weiterentwicklung
unterstützen.
\n\n\n\n
Verfügbarkeit von Open Scholarship-Erklärungen,
Satzungen und Chartas
\n\n\n\n
Das kontinuierlich wachsende Spektrum
an hochrangigen Deklarationen zur Unterstützung von Offenheit/Openness (üblicherweise
in der Form von Open Access, aber oft auch weiter gefasst) bietet intern konsistente Ziele und
Maßnahmen, die das Ergebnis zahlreicher Diskussionen und intensiver Arbeit
auf unterschiedlichsten Levels darstellen.
\n\n\n\n
Starke Impulssetzung
zur Entwicklung von Policy-Modellen
\n\n\n\n
Dieser Aspekt ergibt sich
aus einer Kombination von dynamischen, breit angelegten und kohärenten Top-Down-Ansätzen
(politische Initiativen von Geldgebern, Regierungen, Institutionen) mit Bottom-Up-Ansätzen
(Graswurzel-Bewegungen, Individuen). Es ist weiterhin essentiell, dass die
Agenda für Open Scholarship auf höchster politischer Ebene anerkannt bleibt.
Das UK House of Commons Science and Technology Committee into research integrity oder die durch internationale
Fördergremien initiierte cOAlition
S können als Beispiel dafür gelten.
\n\n\n\n
Eine Herausforderung,
die Top-Down-Policies mit sich bringen, ist die Tatsache, dass Institutionen
wie Regierungen und Geldgeber normativ vorgeben, an welche Regeln Forschende
sich in Bezug auf Datenaustausch, offenen Code und ähnliches zu halten haben,
aber oftmals keine entsprechenden Ressourcen oder Infrastruktur bereitstellen,
um dieses Verhalten zu ermöglichen.
\n\n\n\n
Bottom-Up-Policies wiederum
verknüpfen oftmals Best-Practices aus bestehenden Wissenschaftsgemeinschaften
und sind im Vergleich zu Top-Down-Ansätzen häufiger freiwillige Selbstverpflichtungen
im Gegensatz zum obligatorischen Dogma. Eine Bewertung des Alignments zwischen
Top-Down- und Bottom-Up-Policies könnte dazu beitragen, Synergien aus beide
Ansätzen zu schaffen und somit Open Scholarship besser zu fördern.
\n\n\n\n
Vielfalt
an Zielen ermöglicht Fortschritte an vielen Fronten gleichzeitig
\n\n\n\n
Betrachtet
man die thematische Breite von Open Scholarship (z.B. Open Access, Open Evaluation,
Open Data, Open Source, Cititzen Science) und die enorme Vielfalt der Organisationen
und Individuen, die die Weiterentwicklung dieser Bereiche vorantreiben, so
wird deutlich, die sich verändernde Themenlandschaft der Bewegung zu erfassen.
\n\n\n\n
Für
eine konzertierte Weiterentwicklung wird es daher entscheidend sein, dass
diese Bemühungen in Zukunft stärker miteinander verknüpft werden.
\n\n\n\n
Geographische
Heterogenität und Unterschiede in der erfolgreichen Realisierung von Initiativen
\n\n\n\n
Als
Beispiel sei hier die die Scientific Electronic Library Online (SciELO) genannt,
die sich in Lateinamerika, Portugal und Südafrika etabliert hat. Ebenso erfreut
sich Africa Journals
Online (AJOL) auf dem afrikanischen Kontinent großer Beliebtheit.
\n\n\n\n
Open
Scholarship wurde von wichtigen internationalen Organisationen, die in Wissenschaft,
Forschung und Lehre tätig sind, anerkannt und erfährt Unterstützung durch
Institutionen auf der ganzen Welt.
\n\n\n\n
Open Scholarship folgt im
Allgemeinen einer gemeinsame Sprache (zumeist Englisch), um das Verständnis
untereinander zu erleichtern. Weiter unten wird weiter darauf eingegangen,
inwiefern dies auch eine Herausforderung darstellen kann.
\n\n\n\n
Zugänglichkeit,
Benutzerfreundlichkeit und Verbreitung
\n\n\n\n
Das Open Scholarship-Movement
veröffentlicht Artikel und Ressourcen, die in der Regel kostenlos sind, von
Suchmaschinen gut gefunden werden können, leicht auf mobilen Geräten zu lesen
und schnell mit Hilfe eingängiger Grafiken und Multimedia-Inhalten illustriert
sind. Die Bereitschaft, zeitgemäße Technologien zu nutzen, hilft dem Open
Scholarship-Movement dabei, ihre Ideen schneller in die Breite zu tragen,
als dies mit traditionellen Publikationsmethoden möglich wäre.
\n\n\n\n
Entsprechende
Praktiken wie die aktive Nutzung plattformunabhängiger Textformatierung (z.B.
durch die Auszeichnungssprache Markdown), die Bereitstellung wohlgeformter
Dokumentstrukturen über klar ausgezeichnete Überschriften, Absätze, etc, und
eine proaktive Zuordnung von Alt-Texten für Bilder und beschreibende Informationen
für Grafiken, Videos usw. trägt nicht nur dazu bei, Informationen maschinenlesbar
zu machen, die für die korrekte Verbreitung von Informationen über das Semantic
Web benötigt werden, sondern hat auch den Vorteil, dass diese Informationen
auch barrierefrei zugänglich sind (siehe z.B. die grundlegenden Accessibility
Guidelines des UK Home Office Digital).
\n\n\n\n
7. Herausforderungen,
denen sich die Bewegung gegenübersieht
\n\n\n\n
Diese Herausforderungen
stellen potenzielle Schwerpunkte der zukünftigen Diskussion, Forschung und
Policy-Entwicklung dar. Sie umfassen sowohl externe Bedingungen im größeren
Ökosystem von Wissenschaft und Forschung als auch interne Bedingungen, die
innerhalb der Open Scholarship-Bewegung bestehen. Nicht alle Herausforderungen
sind gleich oder in jedem potenziellen Kontext oder in jeder lokalen Community
vorhanden. Die folgenden Aspekte werden jedoch häufig in Diskussionen über
Open Scholarship-Strategien diskutiert und sollten daher hier hervorgehoben
werden.
\n\n\n\n
7.1 Externe Bedingungen
\n\n\n\n
Den Einfluss
privatwirtschaftlicher Interessen mit der Bewegung in Einklang bringen
\n\n\n\n
Es
besteht derzeit wenig Konsens darüber, ob Open Scholarship in Zukunft ausschließlich
durch gemeinnützige Einrichtungen betrieben werden sollte, die von der globalen
Wissenschaftscommunity gesteuert werden (einschließlich Wohltätigkeitsorganisationen,
non-profits und NGOs), oder ob es Raum für private oder geschäftliche Interessen
geben kann.
\n\n\n\n
Es scheint denkbar und wahrscheinlich, dass die
Zukunft ein gemischtes Modell hervorbringen wird, das alle Akteurstypen vereint,
obwohl die relative Position, Macht und der Status dieser Akteure noch unklar
ist und weitere Entwicklungen abzuwarten sind. Hier bedarf es weiterer Diskussionen,
um die weit verbreitete Trägheit der aktuellen Geschäftsmodelle zu überwinden.
Dies schließt ein:
\n\n\n\n
\n
eine Überwindung des Missverständnisses,
dass Open Scholarship zwingend anti-kommerziell orientiert ist (z.B. Balasegaram
et al., 2017; Hakoum
et al., 2017).
\n\n\n\n
Klärung potentieller Reibungen zwischen
einem Scholarly Commons-Modell für Wissenschaft und Forschung
und dessen Betrieb innerhalb eines kapitalistischen Rahmens (siehe dazu bspw.
Daniel S. Katz zu Kulturkonflikt).
\n\n\n\n
Aktive Entwicklung
alternativer Geschäftsmodelle, wie bspw. das Konsortialmodell der Open Library
of Humanities (siehe Eve
und Edwards, 2015).
\n
\n\n\n\n
Politische Agenden
\n\n\n\n
Open
Scholarship zeichnet sich durch zahlreiche konkurrierende, parallele oder
sich überschneidende Definitionen in Bezug auf Forschungsprinzipien und -praxis
aus. Dementsprechend entwickeln Stakeholder wie Regierungen, öffentliche und
private Geldgeber und Forschungs- und Weiterbildungs-Institutionen kontinuierlich
Strategien mit unterschiedlicher Ausprägung zur Steuerung von Open Scholarship-Initiativen.
\n\n\n\n
Diese
Richtlinien überspannen Ländergrenzen, wissenschaftliche Disziplinen sowie
Aspekte des Open Scholarship-Ökosystems und schreiben der Wissenschafts- und
Forschungsgemeinschaft unter anderem durch staatliche Maßnahmen, Förderungsanforderungen
und institutionelle Mandate Regeln, Vorschriften und Richtlinien vor.
\n\n\n\n
\n
So
steht seit einiger Zeit Open Science ganz oben auf der Agenda der Europäischen
Kommission der EU. Das Hauptaugenmerk liegt hierbei jedoch klar auf Wirtschaftswachstum,
Entwicklung und Innovation. Sowohl soziale Kernaspekte in als auch Wissenschaft
und Forschung als essentielle Stakeholder von Open Scholarship scheinen hier
weitgehend ausgeblendet worden zu sein.
\n\n\n\n
Generell ist festzustellen,
dass Einzel-Staaten nur langsam nationale Open Science-Policies oder -Strategien
implementiert haben. Im Juli 2018 startete Frankreich seinen National Plan for Open Science und auch die Niederlande
haben einen National
Open Science Plan.
\n\n\n\n
In Frankreich stand dabei der Nutzen
für Forschung, Bildung, Wirtschaft und Innovation sowie die Gesellschaft im
Vordergrund. In den Niederlanden scheint der Schwerpunkt eher auf der Öffnung
der Forschung für die Zusammenarbeit in sozialen und technologischen Fragen
zu liegen. In Estland wiederum scheint sich Open Science mehr auf die Rechte der Öffentlichkeit
zu stützen, die Qualität von Forschung und Zusammenarbeit zu verbessern und
die sozialen und wirtschaftlichen Auswirkungen zu erhöhen.
\n\n\n\n
EU
Horizon 2020 ist eine der bemerkenswertesten Regierungsinitiativen mit Bezug
zu Open Scholarship-Policies (siehe hierbei auch die Arbeit rund um den “Plan
S”). Die Komponente des Responsible Research and Innovation (RRI) (Verantwortungsvolle
Forschung und Innovation) des Arbeitsprogramms “Science with and for
Society” macht beispielsweise offene Bildung, Forschung und Zugang zu diesen
zu expliziten Zielen der EU-Policies.
\n\n\n\n
Beispiele aus den USA
beinhalten den FASTR Act, Open Government Data Act, Federal Source Code Policy;
Affordable College Textbook Act; U.S. National Cancer Moonshot Initiative;
Dept of Education Open Licensing Rule; Executive Directive on Public Access;
California Taxpayer Access to Publicly Funded Research Act; sowie der Illinois
Open Access to Articles Act und stehen für politische Veränderungen in den
USA, die unter das Dach von Open Scholarship fallen.
\n\n\n\n
Allein
aus diesen Beispielen wird deutlich, dass es an einer synthetisierten und
konsistenten Gesamtstrategie zu den politischen Motiven von Open Science/Scholarship
mangelt. Es kann argumentiert werden, dass es einer stärkeren Koordinierung
in diesem Bereich bedarf, um strategisch ermitteln zu können, welche Aspekte
von Open Scholarship mit welchem entsprechend beabsichtigten politischen Ergebnis
übereinstimmen können – oder auch nicht.
\n
\n\n\n\n
Bewusstsein
der Forschenden, und Apathie
\n\n\n\n
\n
Das Bewusstsein für Open
Scholarship ist in manchen Forschungsgemeinschaften noch sehr gering. Dies
gilt sowohl für das grundlegende Verständnis, dass Open Scholarship Möglichkeiten
zur Effizienzsteigerung bei Standard-Forschungsworkflows bietet, als auch
mit Blick auf die Vorteile, die sich daraus ergeben.
\n\n\n\n
Manche
Forschenden implementieren zwar Open Scholarship-Praktiken (z.B. Data Sharing,
Open Access-Publishing) in ihre tägliche Praxis, zögern aber (entweder explizit
oder implizit), dies auch mit dem Begriff Open Scholarship gleichzusetzen.
Selbst bei einem hohen Bekanntheitsgrad in einem bestimmten Umfeld bedeutet
dies nicht automatisch, dass Forschende in diesem Umfeld sich direkt weiter
mit Open Scholarship auseinandersetzen, oft aufgrund mangelnder Information,
Fehlinformation seitens anderer, individuell nicht ausreichende Anreize und
Motivation oder schlicht allgemeinen Desinteresses.
\n\n\n\n
Die Tatsache,
dass Forschende aus pragmatischen Gründen Praktiken des Open Scholarship einführen,
jedoch das Label nicht verwenden oder ihre eigene Praxis als Open Scholarship
zugehörig bezeichnen bzw. diese Praxis bedeuten könnte, dass sie selbst Offenheit/Openness
in ihrem Wissenschaftsalltag leben, erfordert weitere empirische Untersuchungen
als einen der wichtigsten sozialen Aspekte der Bewegung – den Kulturwandel
im Selbstverständnis von Wissenschaft und Forschung.\n
\n
Die heterogene
geografische Reichweite und das Bewusstsein für Open Scholarship-Praktiken
erfordern weitere Untersuchungen.
\n\n\n\n
Dies betrifft Kommunikationsfragen
rund um Open Scholarship, die ein einzigartiges Konzept für die “traditionelle”
Wissenschaft darstellen, und nicht nur die Verbesserung des Prozesses und
der Kommunikation.
\n
\n
\n
\n\n\n\n
Sprache und Erscheinungsbild
der Community
\n\n\n\n
\n
Es ist notwendig, die Verbreitung von
Open Scholarship in nicht-englischen Sprachräumen zu fördern. Die Hegemonie
des Englischen kann oftmals dazu dienen, die Länder des Globalen Nordens in
Diskussionen und Entscheidungen zu das Feld der Opnenness betreffenden Strategien
implizit oder explizit über Gebühr zu gewichten und somit andere Perspektiven
auszuschließen.
\n\n\n\n
Viele der heute einflussreichsten Forschenden
haben ihre Positionen durch Erfolg im bisherigen “geschlossenen” System erlangt.
Dieser Bias kann starke Auswirkungen auf die Formung von Forschungspraktiken
von Nachwuchs-Wissenschaftlerinnen und -Wissenschaftlern haben, die unter
Umständen in Abhängigkeitsverhältnissen zu diesen stehen.
\n\n\n\n
Der
fehlgeleitete Einsatz von Open Scholarship-Begrifflichkeiten konterkariert
die intendierte Message. So genanntes “Open Washing” bezeichnet Praktiken, Dienste oder Produkte,
die sich den Anschein geben wollen, nach offenen Standards zu handeln, diesen
aber nicht gerecht werden. So ist beispielsweise “kostenlos” nicht mit “offen”
gleichzusetzen, und das alleinige Bereitstellen von Tools für Forschung und
Wissenschaft ist daher auch nicht als “offen” anzusehen. Streng gesehen gehört
dazu letztendlich auch die Verwechslung – oder synonyme Verwendung der Begriffe
“Open Scholarship”, “Open Access” und “Open Science”; die Terminologie sollte
hier klar differenziert werden.
\n\n\n\n
Es besteht die Gefahr, dass
Unternehmen mit einer Firmengeschichte der Anti-Offenheit sich in der Open
Scholarship-Bewegung ausbreiten und die eigentlichen Ziele von Openness unterwandern,
wenn diese Ziele nicht angemessen definiert und auf Einhaltung durch die Community
geachtet wird.
\n\n\n\n
Die Bewegung rund um Openness ist gefordert,
sich zahlreichen Herausforderungen bezüglich Kommunikations- und Engagementstrategien
zu stellen – auch um mächtigen Akteuren mit gegensätzlichen oder divergierenden
Interessen entgegenhalten zu können. Als Ansatz kann hier die persönliche
Haltung der “radical kindness” beim Austausch mit diesen Akteuren dienen,
um stets mit absoluter, unerschütterlicher Freundlichkeit und Anstand aufzutreten
– insbesondere, wenn diese Freundlichkeit durch die Gegenseite nicht entgegengebracht
wird.
\n\n\n\n
Open Scholarship bringt eine eigenen Sprache mit einer
Reihe vonFachbegriffen mit sich. Um die Barrieren beim Austausch mit anderen
niedrig zu halten, sei empfohlen, auf die Verwendung von Fachjargon zu verzichten.
Zudem sollte sichergestellt werden, dass häufig verwendete Begriffe präzise
definiert werden. Das Open Research Glossary kann hier sicherlich hilfreich
sein.
\n
\n\n\n\n
Urheberrecht
\n\n\n\n
\n
In der digitalen
Welt, und damit auch für Open Scholarship geltend, ist rechtliches Verständnis
mit Blick auf Lizenz- und Urheberrecht genau so wichtig, wie wirtschaftliches
Verständnis in Bezug auf Eigentum und Geschäftsmodelle oder technisches Wissen
über Tools, Schnittstellen und potentielle Abhängigkeiten.
\n\n\n\n
In
der Tat hat eine bisher vorherrschende Unterschätzung der Auswirkungen rechtlicher
Aspekte von Lizenz- und Urheberrecht und die Verschränkung dieser Aspekte
mit verschiedenen Bereichen von Open Scholarship sicherlich eine Hauptrolle
dabei gespielt, warum das Openness-Movement einige seiner Hauptziele bisher nicht erreichen konnte.
\n\n\n\n
Wertvolle
Lektionen können hier sicherlich aus den Erfahrungen der internationalen Open
Education-Bewegung – und insbesondere der mit der Einführung von Open Educational
Resources (OER) beschäftigten Akteurinnen und Akteure – gezogen werden, da
dort schnell auf die Auseinandersetzung mit Creative Commons-Lizenzen für
Lehr-/Lernmaterial gesetzt wurde. Weiteres zu rechtlichen Aspekten von OER
und Lizenzierung von Materialien bspw. im Faculty OER Toolkit oder dem deutschsprachigen Urheberrechts-Ratgeber zu OER und Open Content.
\n
\n\n\n\n
Einbeziehung
nicht-akademischer Akteure
\n\n\n\n
\n
Implementierung von Open
Scholarship auf politischer Ebene durch nationale und subnationale Regierungen
(in der Art, wie Open Data und Open Access in zahlreichen Regierungen adaptiert
wurden).
\n\n\n\n
Wissenschaft und Forschung ist weltweit ein hart
umkämpftes, hoch kompetitives Unterfangen. Aufgrund der relativen Neuartigkeit
der Open Scholarship-Praktiken ist es verständlich, dass Institutionen ihre
Reputation auf einem globalen Spielfeld nicht durch neue betriebliche Prozesse
riskieren wollen. Hier gilt es, Überzeugungsarbeit auf zahlreichen Ebenen
zu leisten, um möglichst breiten Impact zu erzielen.
\n\n\n\n
Ein breiteres
Engagement nicht-akademischen Publikums und insbesondere der breiten Öffentlichkeit
erscheint uns als essentiell, um politische Trägheit und Zögern gegenüber
Open Scholarship zu überwinden.
\n
\n\n\n\n
7.2 Interne Bedingungen
\n\n\n\n
Wachstumsrate
\n\n\n\n
Alle
aktuellen Erkenntnisse deuten darauf hin, dass sich die Dynamik von Open Scholarship
im Hinblick auf ein breiteres Verständnis von Themen und die Übernahme von
entsprechenden Praktiken (z.B. in Bezug auf die Anzahl der institutionellen
Open Access-Policies, wie von ROARMAP angegeben) verstärkt.
\n\n\n\n\n\n
Diese
Verteilung geschieht jedoch oft langsam und graduell, und hat vielfach mit
Reibungen zu kämpfen. Daher sollte weiter vielfach experimentiert werden,
um die Anwendbarkeit von offenen Praktiken auch in größerem Maßstab zu demonstrieren,
um daraus abgeleitet eine weiter steigende Wachstumsrate und den umfassenden
Impact von Open Scholarship zu erhöhen.
\n\n\n\n
Vermeidung von Auseinandersetzungen
um Partikulardetails
\n\n\n\n
Oftmals scheint die Open Scholarship-Bewegung
relativ streitlustig zu sein, wenn es um Kleinigkeiten geht, ohne dass Einigkeit
über die grundlegenden Fragen erzielt wurde.
\n\n\n\n
Eine Konzentration
auf die Kernprinzipien und die Feststellung, dass diese als gemeinsame Basis
einen fruchtbaren Boden für weitere, produktive Diskussionen um Open Scholarship
bilden, sollte stets im Auge behalten werden.
\n\n\n\n
Überwindung des
Mangels an Finanzierung von Open Scholarship
\n\n\n\n
\n
Finanzielle
Nachhaltigkeit stellt sicherlich einen der Schlüsselaspekte für die mittel-
bis langfristige Zukunft von Open Scholarship dar. Ein besseres Verständnis
der finanziellen Abläufe im Feld der Wissenschaftskommunikation ist erforderlich,
um Initiativen wie SCOSS, Creative Commons, etc. zu unterstützen, die sich
für eine nachhaltige und offene wissenschaftliche Infrastruktur einsetzen.
\n\n\n\n
Initiativen
wie The 2.5% Commitment könnten hierzu wichtige Impulse
für die Zukunft setzen. Das 2,5% Commitment besagt ganz einfach, dass: “Jede
wissenschaftliche Bibliothek sollte sich verpflichten, 2,5% des ihr zur Verfügung
stehenden Gesamtbudgets zur Unterstützung der gemeinsamen Infrastruktur beizutragen,
die notwendig ist, um die Idee von offenenCommonsRealität werden zu lassen.” (siehe
auch Lewis
et al., 2018)
\n\n\n\n
Somit bestünde eine klar definierte und
einfach zu realisierende Möglichkeit, um Finanzmittel aus dem gegenwärtigen
Finanzierungsstrom (z.B. Abonnements) in nachhaltigere Open Scholarship-Ventures
umzuleiten. Siehe dazu auch das weiter oben erwähnte beispielhafte Konsortial-Modell
der Open
Library of the Humanities, das die finanzielle Belastung einiger weniger
Institutionen auf viele Schultern einer größeren (und stetig wachsenden) Gruppe
von Konsortialmitgliedern verteilt.
\n
\n\n\n\n
Mangelnde Geduld
unter den Befürwortern von Open Scholarship
\n\n\n\n
\n
Wir sind
uns der Belastungen und des Drucks bewusst, dem sich Forschende bereits jetzt
ausgesetzt sehen, wenn es darum geht, ein hohes Produktivitätsniveau aufrechtzuerhalten,
Finanzierungsanträge zu stellen, Verwaltung, Lehre und weitere Aufgaben zu
übernehmen.
\n\n\n\n
Dies bedeutet, dass Open Scholarship oftmals nicht
mit hoher Priorität bedacht wird, da das derzeitige Belohnungssystem immer
noch sehr stark auf die Veröffentlichung neuer Ergebnisse in Journals mit
hohem Impact ausgerichtet ist.
\n\n\n\n
Dennoch sind wir der Überzeugung,
dass ein Innehalten, Introspektion und Selbstreflexion über die eigene Rolle
im Hamsterrad des publish-or-perish-Leistungsdrucks lohnenswert sein kann
– und dann auch neuartige Herangehensweisen wie die Praktiken des Openscholarship
interessant werden können.
\n\n\n\n
Dieser Prozess des Kulturwandels
sowohl bei Individuen als auch in Institutionen ist langwierig und kann vielmals
nicht über Nacht geschehen, daher werden Befürwortende sowie Praktikerinnen
und Praktiker von Open Scholarship dazu ermutigt, Geduld mit ihren Kolleginnen
und Kollegen zu üben und Verständnis für diese Last zu zeigen.
\n\n\n\n
Darüberhinaus
sei darauf hingewiesen, dass auch unterschiedliche Initiativen, die in unterschiedlichen
Communities mit unterschiedlichen Geschwindigkeiten arbeiten, sich trotzdem
gegenseitig verstärken können, um auf die gleichen übergreifenden Ziele hinzuarbeiten
– auch hier empfielt sich also, Geduld zu zeigen.
\n\n\n\n
Es soll
hier auch betont werden, dass Forschende nicht unbedingt offene Verfechter
von Open Scholarship sein müssen. Sie sollten sich jedoch der Funktionen des
Wissenschaftskommunikationssystems im Allgemeinen, sowie der vielfältigen
Prozesse und Normen, die damit verbunden sind, sowie ihrer eigenen Rolle darin
bewusst sein.
\n
\n\n\n\n
Den Limitationen von Openness gegenüber
nicht offen zu sein
\n\n\n\n
\n
Die Begeisterung für Offenheit birgt
die Gefahr, nicht kritikfähig zu sein oder nicht anzuerkennen, dass es Situationen
gibt, in denen die üblichen offenen Praktiken für die beteiligten Personen
potentielle Risiken und Gefahren bergen können. Dies kann sich bspw. auf Datenschutzaspekte
beziehen, aber auch auf Daten, die von Regierungen zur Überwachung oder von
Unternehmen für Geschäftsinteressen erfasst werden könnten (bspw. Daten über
seltene oder einheimische Pflanzen/Tiere oder Daten, die zeigen, wie lokale
Gruppen oder Umweltgruppen funktionieren). Es geht auch darum, offen für Kritik
an den Gefahren plattformbasierter Ökonomien und ungleicher Beziehungen in
Forschungskooperationen zu sein.
\n
\n\n\n\n
Umgang mit (Mangel
an) Vielfalt
\n\n\n\n
\n
Dazu ist klar der vorherrschende Fokus
auf englischsprachige Inhalte und damit verbundene Communities zu sehen, die
diejenigen diskriminiert, die dies nicht als ihre Muttersprache oder auch
gar nicht sprechen können.
\n\n\n\n
Open Scholarship muss zudem anerkennen,
dass nicht alle Strategien für alle Regionen gleichermaßen geeignet sind,
somit Flexibilität bei der Auslegung essentiell ist.
\n\n\n\n
In diesem
Zusammenhang sollte die Bewegung auch sicherstellen, dass andere Regionen
nicht durch Entscheidungen negativ beeinflusst werden, die durch außenstehende
Gruppen und regionale Präferenzen getroffen werden.
\n
\n\n\n\n
8.
Chancen
\n\n\n\n
\n
Universitäten und Forschungseinrichtungen aus
aller Welt erkennen langsam das in Open Scholarship liegende Versprechen.
Diskussionen hierzu finden auf verschiedensten Ebenen statt und insbesondere
Universitäten stehen hier in einer starken Position, um Policy-Rahmung, Best
Practices und die Weiterbildung zu verschiedenen Aspekten von Open Scholarship
– auch durch administrative Unterstützung – aktiv anzuleiten und weiterzuentwickeln.
\n\n\n\n
Universitäten
und Forschungsförderer sehen sich nun in der Lage, neue Praktiken bei der
Einstellung, Beförderung sowie Konditionen der Besetzung von offenen Positionen
sowie den Rahmenbedingungen zur Festanstellung einzuführen und insbesondere
die Rolle von Open Scholarship in diesen Prozessen zu verankern. Die Anerkennung
von Openness in diesen Bereichen ist sicher einer der Schlüsselfaktoren für
eine zunehmende Akzeptanz offener Praktiken in Bildung, Wissenschaft und Forschung
zu sein.
\n\n\n\n
Wissenschaftliche Kommunikation ist ein sich rasant
weiterentwickelnde Feld. In diesem Bereich gibt es mit Blick auf Forschende
in allen Forschungsfeldern sicherlich einen großen Spielraum für systematische
Aus- und Weiterbildung, die von den Forschungsinstitutionen übernommen werden
könnte. Es existiert bereits ein weitereichendes globales Netzwerk von Expertinnen
und Experten, die in diesem Arbeitsfeld – oft auf unentgeltlich-freiwilliger
Basis – engagiert sind. Die mittel- und langfristige Finanzierung solcher
Kommunikations-Netzwerke mit zugehörigen Plattformen, Technologien und Commnuites
wäre für jede Art von Nachhaltigkeit entscheidend.
\n\n\n\n
Insgesamt
haben wir jetzt die große Chance, das Feld der Wissenschaftskommunikation
und deren Policies zu harmonisieren, um es Wissenschaftlerinnen und Wissenschaftlern
zu erleichtern, sich in die Materie einzuarbeiten. Hierzu wäre bspw. förderlich,
sich auf einheitliche Lizenzmodelle zu einigen, um dem Wildwuchs unterschiedlicher Arten von Lizenzen, die
möglicherweise nicht miteinander kompatibel sind und zu viel Interpretationsaufwand
erfordern, entgegenzuwirken. Die Open Source-Bewegung “löste” dieses Problem
durch eine Einigung auf durch die Open Source Initiative verifizierte Lizenzen, und MIT/BSD/GPL
entwickelten sich zu den gängigsten Lizenzen mit klarer gegenseitiger Kompatibilität.
Das Äquivalent für Artikel- und Datenlizenzen wäre vermutlich etwas, das CC
BY entspricht.
\n\n\n\n
Um die Lücke zwischen der generell positiven
Einstellung zu den meisten Aspekten von Open Scholarship und den tatsächlich
gelebten Praktiken zu schließen, bedarf es eines kombinierten Ansatzes aus
Top-Down-Impulsen zur Änderung von Policies gepaart mit einer Vielzahl an
Graswurzel-Bewegungen, die für die Sache werben und Aus- und Weiterbildung
zu Open Scholarship-Praktiken in der Breite anbieten.
\n
\n\n\n\n
9.
Bedrohungen, die die Bewegung gefährden könnten
\n\n\n\n
Die Implementierung
von Open Access betreffende Hindernisse
\n\n\n\n
Zu den im Open Access-Bereich
schon vielfach geäußerten Elementen zählen:
\n\n\n\n
\n
Fehlende
Erforschung zu persönlichen Determinanten und Bedingungen im Umfeld der Forschenden,
die zur (Nicht-)Veröffentlichung von Open Access führen
\n\n\n\n
Akzeptanz
langer Embargofristen zum Schutz der Verlagseinnahmen (und damit Aufrechterhaltung
des Status Quo);
\n\n\n\n
Komplexe, verwirrende und schwer zu durchschauende
Regelungen zu Embargofristen;
\n\n\n\n
Zeitaufwändige und teure Embargo-Compliance-Abgleichsysteme;
\n\n\n\n
Konflikte
zwischen von Geldgebern und Verlagen veröffentlichten Policies;
\n\n\n\n
Weiterführung
der fehlgeleiteten Praxis des Urheberrechts-Übertrags von Forschendem zu Verlagen;
\n\n\n\n
Fehlende
finanzielle Unterstützung für APC und BPC (Journal-Artikel und Open Access-Bücher);
\n\n\n\n
Breit
angelegte Etablierung von hohen, ungerechtfertigten und damit nicht nachhaltigen
APCs und BPCs, die besonders diskriminierend gegenüber bestimmten Bevölkerungsgruppen
sind, denen es an entsprechenden Mitteln mangeln könnte;
\n\n\n\n
Fehlendes
oder mangelndes Hintergrundwissen bei der Verhandlung dieser Aspekte;
Keine Einigung über eine breit angelegte Lösung für
bestehnde Probleme im Zusammenhang mit Open Access für Bücher;
\n\n\n\n
Auch
in Zukunft vorherrschender Mangel an Prestige für viele Open Access-Zeitschriften;
und
\n\n\n\n
fehlende Kompensations-Vereinbarungen im Kontext getroffener
Open Access-Deals zu Hybrid-Journals.
\n\n\n\n
Allgemeines Fehlen von
Rollenmodellen, die offene Praktiken in allen Fachdisziplininen vorleben,
um der vorhersschenden kulturellen Trägheit im Wissenschaftsbetrieb etwas
entgegensetzen.
\n
\n\n\n\n
Hindernisse für den offenen Austausch
von Forschungsdaten
\n\n\n\n
\n
Fehlende Erforschung zu persönlichen
Determinanten und Bedingungen im Umfeld der Forschenden, die zur (Nicht-)
Veröffentlichung von Daten als Open Data führen;
\n\n\n\n
Keine Einigung
darüber, wie Forschungsdatenmanagement (FDM) finanziert werden soll;
\n\n\n\n
Fehlende
Befähigung im Umgang mit Forschungsdaten, und fehlende Best Practice-Beispiele;
\n\n\n\n
Fehlende
Klärung offener Lizenzfragen und mangelndes Bewusstsein darüber;
\n\n\n\n
Mangelnde
Infrastruktur zur Unterstützung eines guten FDM innerhalb des gesamten Life
Cycle von Wissenschaft und Forschung; und
\n\n\n\n
Vernachlässigung
der expliziten Gewährung von Wiederverwendungsrechten (re-use) an Daten, so
dass sie ein schlechtes Wiederverwendungsrecht aus Publikationen heraus erben.
\n
\n\n\n\n
Anreize
und Kennzahlen
\n\n\n\n
\n
Fehlende oder unpassende Anreize, die
durch im traditionellen System gefestige Mentalität und Praxis begründete
Ängste verstärkt werden, z.B. dass der Austausch von Forschungsdaten die Wettbewerbsfähigkeit
eines Individuums beeinträchtigt (z.B. Mythen wie “ich werde verantwortlich
gemacht, wenn jemand meine Daten falsch verwendet”, oder “ich muss noch fünf
weitere Publikationen aus diesem Datensatz herausholen, daher kann ich ihn
noch nicht teilen”).
\n\n\n\n
das bestehende Anreizsystem muss sich
ändern, um den kulturellen Wandel zu motivieren und weitergehende Schritte
zu erleichtern.
\n\n\n\n
Die anhaltende Abhängigkeit von undurchsichtigen,
nicht reproduzierbaren Metriken kommerzieller Anbieter wird sich weiterhin
nachteilig auf Wissenschaft und Forschung insgesamt auswirken.
\n\n\n\n
Neue
Bewertungsmetriken sollten darauf ausgerichtet sein, Anreize zur Beeinflussung
des Verhaltens von Forschenden zu schaffen, vorzugsweise auf der Grundlage
von Openness.
\n
\n\n\n\n
Große kommerzielle Verlage
\n\n\n\n
\n
Elsevier
& Holtzbrinck/Springer Nature (via Digital Science) entwickeln integrierte Dienstleistungen für den gesamten Workflow
von Wissenschaft und Forschung, die vom ersten Schritt der Entdeckung neuer
Phänomene bis zur Finanzierungsorganisation alles abdecken werden. Die Kartellbehörde
der European Commission wurde über wettbewerbswidrige Praktiken informiert.
\n\n\n\n
Diese
stellen insofern eine klare Bedrohung für das gesamte Feld von Open Access
und Open Scholarship dar, da sie versuchen werden, diese Dienste für Institutionen
über “Big Deals” zu bündeln – so dass Institutionen sich an das Gesamtpaket
inkl. der Nutzung nicht übertragbarer Dienste gebunden werden, um Zugang zu
für sie wichtigen Diensten zu erhalten, (d.h. die gleiche Strategie, die bisher
bei der Bündelung von Zeitschriften angewandt wird) (Moody 2017; Posada und Chen 2017; Schonfeld 2017).
\n\n\n\n
Dies würde letztendlich
zu neuen Ineffizienzen, Lieferantenbindungen und dem gleichen Preisschub führen,
den wir bei”Big Deal”-Lizenzverträgen aus dem Publikationsbereich sehen.
\n\n\n\n
Mit
Blick auf Preprints und Publishing Workflows kommt es zu einer rapide zunehmenden
Kolonialisierung der Landschaft durch kommerzielle Interessen (z.B. Erwerb
von SSRN sowie des Workflow-Anbieters Aries Systems durch Elsevier). Dies führt zu einer breiteren
kommerziellen Kontrolle, die unabhängig vom letztendlich gewählten Veröffentlichungsort
droht.
\n\n\n\n
Beunruhigend ist zudem die Entwicklung hin zu sog.
Surveillance Publishing (siehe die gleichnamige Zotero Library zu zahlreichen wiss. Artikeln zum Problemfeld)
\n
\n\n\n\n
Widerstand gegen Veränderungen
\n\n\n\n
\n
Wissenschaftler_innen
sind im Allgemeinen – und ganz ihrer menschlichen Natur gemäß – resistent
gegen Veränderungen und werden daher in Summe oft als ein System der “kulturellen
Trägheit” innerhalb des Wissenschaftsbetriebs gesehen.
\n\n\n\n
Menschen
neigen dazu, Dinge zu wählen, die dem, was sie bereits kennen, am ähnlichsten
sind (siehe dazu z.B. Dan Arielys TED-Talk über das Treffen von Entscheidungen).
\n\n\n\n
Wissenschaftlerinnen
und Wissenschaftlern also zu viel Auswahl zu geben, wie es in der Praxis von
Open Scholarship üblich ist, könnte unter Umständen auch abschreckend wirken
und letztendlich die Veränderung der traditionellen Gewohnheiten bremsen oder
gar ganz blockieren.
\n
\n\n\n\n
Outlook
\n\n\n\n
Es ist
wichtig, hier abschließend herauszustellen, dass alle potentiell beteiligten
Personen selbstverständlich weiterhin das tun können, was sie bereits gut
getan haben – auch wenn sie Open Scholarship als neues Handlungsfeld annehmen.
Mit Weller, 2014,
Veletsianos
und Kimmons, 2016 und McKiernan, 2017 sehen wir Inklusivität als ein entscheidendes
Merkmal der sozialen Bewegung, die Open Scholarship darstellt. Während das,
was wir hier beschrieben haben, im Idealfall alle vorgenannten Praktiken umfassen
kann, kann ein Engagement in Open Science und Scholarshio als Instanzen in
einem Spektrum von Praktiken angesehen werden, in welchem jedes Individuum
für sich selbst aushandelt muss, wie es sich dazu positionieren möchte.
\n\n\n\n
Daher
sollten zukünftige Kommunikationsbemühungen darauf konzentrieren, deutlich
zu machen, dass Praktiken der Openness keineswegs komplett neue Handlungsweisen
darstellen, sondern vielfach “nur” effizientere und damit lohnenswertere Variationen
von derzeitigen Praktiken darstellen. Darüber hinaus lohnt es, sich klar zu
machen, dass Offenheit in Wissenschaft, Forschung und Lehre eine lange Tradition
hat, derer wir uns zu Beginn des 21. Jahrhunderts neu besinnen sollten – damit
die u.a. von Watson,
2015 gestellte rhetorische Frage “When will ‘open science’ become simply
‘science’?” bald mit einem “Heute und hier!” beantwortet werden kann.
\n\n\n\n
11.
Schlusswort
\n\n\n\n
Wir befinden uns inmitten einer rasanten globalen
Weiterentwicklung von Tools, Services und Konzepten im Bereich Open Scholarship;
jedoch gab es bis heute wenig strategische Koordination bei der Umsetzung
der verschiedenen Aspekte von Open Scholarship. Einfach mehr Zeit, Mühe und
Geld in die Aufrechterhaltung des Status Quo zu investieren, mit obskuren
und fehlgeleiteten Anreizen und einer verzerrten Abhängigkeits- und Machtdynamik,
ist für das globale Wissenschaftssystem eindeutig nicht mehr tragbar.
\n\n\n\n
Dieses
Dokument möchte eine umfassende und strategische Lösung für dieses Problem
bieten. Indem es Open Scholarship in seine konstituierenden Elemente zerlegt,
ermutigt es die zahlreichen involvierten Communities, als Kollektiv kleine
Schritte in Richtung einer offeneren Kultur mit relativ geringem Aufwand zu
unternehmen. Ausführlich haben wir die Vor- und Nachteile dieser vorgeschlagenen
Schritte diskutiert und die Gründe, potenzielle Bedrohungen sowie die vorhandenen
Stärken und unterstützenden Initiativen des Movements um Open Scholarship
skizziert. Wir glauben, dass eine koordinierte Umsetzung dieser Strategie
notwendig sein wird, um sicherzustellen, dass wir nicht auf Lösungen zurückgreifen,
die die weitere Entwicklung offener Forschungspraktiken auf globaler Ebene
behindern könnten.
\n\n\n\n
Um zu vermeiden, dass die Forschungsgemeinschaft
in den nächsten großen profitorientierten Businessplan eingebunden wird, der
nur Lippenbekenntnisse zu den Leitwerten, Prinzipien und Praktiken des Open
Scholarship abgibt, muss die Wissenschaft ihre wissenschaftliche Praxis auf
offene Grundprinzipien ausrichten – vor allem auf den freien Zugang zu Wissenschaft
und Forschung, aber auch auf die Möglichkeit, frei an Forschungsergebnissen
in all ihren Formen teilzunehmen und diese wiederzuverwenden. Wir sehen diese
Freiheiten als wesentlich für jedwege Art von Zukunft des Open Scholarship.
\n\n\n\n
Wichtiger
Hinweis Der neueste Projektentwurf befindet sich in Entwicklung und
ist für Beiträge unter GitHub verfügbar. Bitte beachte die Datei README für weitere Details; die Hauptinhaltsdatei zum
Bearbeiten ist hier zu finden. Änderungen an dieser Datei werden, sofern
durch die Moderation genehmigt, automatisch auf dieser Webseite aktualisiert.
\n\n\n\n
12.
Quellenangaben
\n\n\n\n
References
\n\n\n\n
Allen et al. (2015)
Foundations for OER Strategy Development. link
\n\n\n\n
Anderson et al. (2017) Towards coordinated
international support of core date resources for the Life Sciences. DOI: 10.1101/110825
Friesike et al. (2015) Opening science: towards an agenda of
open science in academia and industry. DOI: 10.1007/s10961-014-9375-6
\n\n\n\n
Furner (2014)
The ethics of evaluative bibliometrics. link
\n\n\n\n
Hakoum et al. (2017) Characteristics
of funding of clinical trials: cross-sectional survey and proposed guidance.
DOI: 10.1136/bmjopen-2017-015997
\n\n\n\n
Hartley
et. al. (2019) Do we need to move from communication technology to user community?
A new economic model of the journal as a club. DOI: 10.1002/leap.1228
\n\n\n\n
Hitzler and van Harmelen
(2010) A reasonable Semantic Web. link
\n\n\n\n
Horizon Europe – The next research
and innovation framework programme. link
\n\n\n\n
Inamorato dos Santos et al. (2017)
Policy approaches to Open Education. DOI: 10.2760/283135
\n\n\n\n
Katz (2016) Clash of cultures:
Why all science isn’t open science. link
Posada and Chen (2017) Publishers
are incresingly in control of scholarly infrastructure and why we should care.
link
\n\n\n\n
Poynder (2017) Copyright: the immoveable
barrier that open access advocates underestimated. link
\n\n\n\n
Schonfeld (2017) The Center for Open
Science, Alternative to Elsevier, Announces New Preprint Services Today. link
\n\n\n\n
Smith (2017) Join the Movement: The
2.5% Commitment. link
\n\n\n\n
Star and Griesemer (1989) Institutional
Ecology, ‘Translations’ and Boundary Objects: Amateurs and Professionals in
Berkeley’s Museum of Vertebrate Zoology. link
\n\n\n\n
Steiner (2018) Open Educational Practice
(OEP): collection of scenarios. DOI: 10.5281/zenodo.1183805
\n\n\n\n
Tennant et al.
(2016) The academic, economic and societal impacts of Open Access: An evidence-based
review. DOI: 10.12688/f1000research.8460.3
Tennant et al. (2018) The
evolving preprint landscape: Introductory report for the Knowledge Exchange
working group on preprints. DOI: 10.31222/osf.io/796tu
\n\n\n\n
Tennant and Brembs
(2018) RELX referral to EU competition authority. DOI: 10.5281/zenodo.1472044
\n\n\n\n
Veletsianos and
Kimmons (2012) Assumptions and challenges of open scholarship. DOI: 10.19173/irrodl.v13i4.1313
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sample clinical trials. We also aimed to develop guidance for standardised
reporting of funding information.<\/jats:p><\/jats:sec>Methods<\/jats:title>We
addressed the extent to which clinical trials published in 2015 in any of
the 119 Core Clinical Journals included a statement on the funding source
(eg, whether a not-for-profit organisation was supported by a private-for-profit
organisation), type of funding, amount and role of funder. We used a stepwise
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200 trials, 178 (89%) included a funding statement, of which 171 (96%) reported
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in 100%, amount in 1% and roles of funders in 50%. The most frequent sources
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the reporting of funding source, amount and roles of funders. A standardised
approach to reporting of funding information would address these limitations.
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