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Implementing publisher policies that inform, support and encourage authors to share data: two case studies

Authors: Leila Jones; Rebecca Grant; Iain Hrynaszkiewicz;

Implementing publisher policies that inform, support and encourage authors to share data: two case studies

Abstract

Open research data is one of the key areas in the expanding open scholarship movement. Scholarly journals and publishers find themselves at the heart of the shift towards openness, with recent years seeing an increase in the number of scholarly journals with data-sharing policies aiming to increase transparency and reproducibility of research. In this article we present two case studies which examine the experiences that two leading academic publishers, Taylor & Francis and Springer Nature, have had in rolling out data-sharing policies. We illustrate some of the considerations involved in providing consistent policies across journals of many disciplines, reflecting on successes and challenges.

Subjects by Vocabulary

Microsoft Academic Graph classification: business.industry Transparency (market) Public relations Data availability Scholarship Open data Open research Political science Openness to experience business

Library of Congress Subject Headings: lcsh:Z lcsh:Bibliography. Library science. Information resources

Keywords

open data, publishers, Library and Information Sciences, Research data policies; publishers; open data; data availability; open scholarship Introduction, Bibliography. Library science. Information resources, Research data policies, open scholarship Introduction, data availability, Z

29 references, page 1 of 3

1. Gema Bueno de la Fuente, What is Open Science? Introduction: https://www.fosteropenscience.eu/content/what-open-science-introduction (accessed February 25, 2019).

2. Erin C. McKiernan et al., “Point of View: How open science helps researchers succeed”, eLife no. 5 (2016): 1-19; DOI: https://doi.org/10.7554/eLife.16800 (accessed February 25, 2019). [OpenAIRE]

3. Paul Ayris et al., Open Science and its role in universities: A roadmap for cultural change, (May 2018): https://www.leru.org/files/LERU-AP24-Open-Science-full-paper.pdf (accessed February 25, 2019); John Rogers, “Open scholarship and research management”, Insights 27, no. 3 (November 2014): 239-243; DOI: https://doi.org/10.1629/2048-7754.170 (accessed February 25, 2019).

4. Digital Science et al., The State of Open Data Report 2018; DOI: https://doi.org/10.6084/m9.figshare.7195058.v2 (accessed February 25, 2019).

5. Linda Naughton and David Kernohan, “Making sense of journal research data policies”, Insights 29, no. 1 (March 2016): 84-89; DOI: https://doi.org/10.1629/uksg.284 (accessed February 25, 2019). [OpenAIRE]

6. Belmont Forum Data Accessibility Statement and Policy: https://docs.google.com/document/d/1Aw1y6MysyVxPwhBjECTT_0w1EKCLcyT-rGyHAX9mrhM/edit (accessed 8 March 2019).

7. David Mellor, “The Landscape of Open Data Policies”, Center for Open Science (blog), August 29, 2019: https://cos.io/blog/landscape-open-data-policies/ (accessed February 25, 2019).

8. “About Taylor & Francis Group”, Taylor & Francis Group: https://taylorandfrancis.com/about/ (accessed February 25, 2019).

9. Mark D. Wilkinson et al., “The FAIR Guiding Principles for scientific data management and stewardship”, Scientific Data 3, (2016); DOI: https://doi.org/10.1038/sdata.2016.18 (accessed February 25, 2019).

10. “Understanding our data sharing policies”, Taylor & Francis Group: https://authorservices.taylorandfrancis.com/understanding-our-data-sharing-policies/ (accessed February 25, 2019).

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    12
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Top 10%
Top 10%
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