D3.1 FAIR Policy Landscape Analysis

Davidson, Joy; Engelhardt, Claudia; Proudman, Vanessa; Stoy, Lennart; Whyte, Angus

doi:10.5281/zenodo.5537032

Cited by 5 publications

(5 citation statements)

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“…We identified the research data policies in place for "very high research activity" institutions (as defined by Carnegie classification) in the United States. We created a list of 31 criteria, based on previous work by Davidson et al (2019) and Briney et al (2015), and evaluated the 40 policies using a content analysis methodology.…”

Section: Methodsmentioning

confidence: 99%

“…The report talks about the need for a "FAIR ecosystem" and identifies the following essential components of a FAIR ecosystem: data management plans, identifiers, standards, repositories, and policies. Following this report, another document was published by Davidson et al (2019) analyzing the policy landscape in the European Union, including national, funder, publisher, and institutional policies. The authors created a series of "features" to evaluate policies across three stakeholder groups (higher education institutions, funders, and publishers) and used them to evaluate eleven institutional policies from the perspective of the FAIR principles.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The criteria set used for the content analysis came from three different sources: (1) the FAIR Policy Landscape Analysis conducted by Davidson et al in 2019; (2) the analysis conducted by Briney, Goben, and Zilinski in 2015;and (3) several criteria that the authors created for this project. A full list of which criteria were included and excluded from each source, along with the rationale for the decision is published in Llebot and Castillo (2022).…”

Section: Criteriamentioning

confidence: 99%

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Are Institutional Research Data Policies in the US Supporting the FAIR Principles? A Content Analysis

Llebot

Castillo

2023

Journal of eScience Librarianship

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Objective: The FAIR principles were created with the goal of enhancing the reusability of research data and to give guidance on how to make data Findable, Accessible, Interoperable and Reusable. In this article we explore the role of institutional research data policies in enabling and encouraging researchers at their institutions to generate FAIR data.Methods: We identified the research data policies in place for “very high research activity” institutions (as defined by Carnegie classification) in the United States. We created a list of 31 criteria, based on previous work by Davidson et al. (2019) and Briney et al. (2015), and evaluated the 40 policies using a content analysis methodology. Results: The guiding principles and the definitions for research data in the policies support the idea that institutional policies are a potential tool for the implementation of the FAIR principles. However, our analysis indicates that they are not generally used for that purpose. Only one policy mentions FAIR. Data sharing is mentioned in half of the policies, but 11 of these only note this concept in the context of funder requirements. Access and retention sections are mostly written without considering publicly available data. Twenty-nine policies do not mention data documentation. Conclusions: We discuss ways in which these institutional policies represent a missed opportunity to implement the FAIR principles and suggest ways policies could be modified to encourage researchers to follow them. We also discuss future research opportunities to examine how policy implementation may affect what institutional support researchers receive.

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Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Criteriamentioning

confidence: 99%

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Are Institutional Research Data Policies in the US Supporting the FAIR Principles? A Content Analysis

Llebot

Castillo

2023

Journal of eScience Librarianship

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“…They are increasingly becoming a requirement by national and European funders, and institutional policies on good research practice, e.g. German Research Foundation 2019, UK Research and Innovation, National Institutes of Health, Dutch Research Council, all of which provide guidance on what they expect researchers to implement during the course of their projects, such as DMP templates or checklists to identify FAIR-compliant repositories (Davidson et al 2019;Sveinsdottir et al 2021).…”

Section: What Is Fair?mentioning

confidence: 99%

How to be FAIR with your data

Engelhardt

2022

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How to be FAIR with your dataA teaching and training handbook for higher education institutions Göttingen University Press 2022 Bibliographic informationThe German National Library lists this publication in the Deutsche Nationalbibliografie; detailed bibliographic data are available in the Internet at http://dnb.dnb.de FAIRsFAIR has received funding from the European Commission's Horizon 2020 research and innovation programme under Grant Agreement no. 831558. The content of this document does not represent the opinion of the European Commission, and the European Commission is not responsible for any use that might be made of such content.

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“…Den Wert einer klaren Datenpolicy auf den Weg zu FAIRen Daten stellt auch die FAIRsFAIR-Initiative fest: "FAIRsFAIR's landscape assessment found that data policies that are clear and easy to understand can positively influence researchers", vgl. <https://www.fairsfair.eu/fairsfair-deliverables-community-review> und im Detail Davidson et al 2019.…”

Section: Faire Forschungsdatenunclassified

(FAIRe) Forschungsdaten, Open Access und neue Formen der Kommunikation in der Romanistik

Trapp¹,

Vacano²

2022

apropos

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Der DFG-geförderte Fachinformationsdienst Romanistik (FID) wird von der SUB Hamburg und der ULB Bonn betrieben und bietet laufend weiterentwickelte Services für die Bereitstellung und Recherche von Literatur für die Forschung sowie ein reichhaltiges fachspezifisches Online-Informationsangebot. Der Beitrag illustriert, wie der FID mit seinen Teilprojekten Forschungsdatenmanagement (FDM) und Open-Access-Publizieren (OA) sowie mit den neuen Kommunikationskanälen eine transdisziplinäre digitale Romanistik unterstützt. Zunächst wird argumentiert, dass FDM nach den FAIR-Prinzipien Transdisziplinarität immer schon mitdenkt. Nach einer Vorstellung der entsprechenden Unterstützungsangebote des FID wird auf die Bedeutung einer konsistenten Metadatenvergabe eingegangen und eine breitere fachinterne Diskussion zu diesem Thema angeregt. Als nächstes wird das Informationsangebot des FID zum Thema OA vorgestellt sowie ein Ausblick auf das gerade eingerichtete Repositorium für romanistische OA-Publikationen geboten, das als zentrale Anlaufstelle für frei zugängliche fachspezifische Erst- und Zweitveröffentlichungen konzipiert ist. Abschließend werden mit dem Romanistik-Blog und dem Twitter-Kanal des FID zwei Angebote präsentiert, die neben der Information über aktuelle Entwicklungen in relevanten Bereichen auch die Vernetzung innerhalb und außerhalb der Fachcommunity unterstützen.

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D3.1 FAIR Policy Landscape Analysis

Cited by 5 publications

References 0 publications

Are Institutional Research Data Policies in the US Supporting the FAIR Principles? A Content Analysis

Are Institutional Research Data Policies in the US Supporting the FAIR Principles? A Content Analysis

How to be FAIR with your data

(FAIRe) Forschungsdaten, Open Access und neue Formen der Kommunikation in der Romanistik

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