A dataset describing data discovery and reuse practices in research

Author:

Gregory KathleenORCID

Abstract

AbstractThis paper presents a dataset produced from the largest known survey examining how researchers and support professionals discover, make sense of and reuse secondary research data. 1677 respondents in 105 countries representing a variety of disciplinary domains, professional roles and stages in their academic careers completed the survey. The results represent the data needs, sources and strategies used to locate data, and the criteria employed in data evaluation of these respondents. The data detailed in this paper have the potential to be reused to inform the development of data discovery systems, data repositories, training activities and policies for a variety of general and specific user communities.

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

Reference40 articles.

1. Allen, M. In The SAGE Encyclopedia of Communication Research Methods.Vols. 1-4 (ed. Allen, M.) Secondary data (SAGE Publications, Inc, 2017).

2. Wilkinson, M. D. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci. Data 3, 160018 (2016).

3. European Commission. Facts and figures for open research data. European Commission website https://ec.europa.eu/info/research-and-innovation/strategy/goals-research-and-innovation-policy/open-science/open-science-monitor/facts-and-figures-open-research-data_en (2019).

4. European Commission. EOSC declaration: European Open Science Cloud: new research & innovation opportunities. European Commission website, https://ec.europa.eu/research/openscience/pdf/eosc_declaration.pdf#view=fit&pagemode=none (2017).

5. DataCite Metadata Working Group. DataCite metadata schema documentation for the publication and citation of research data, version 4.3. DataCite website https://doi.org/10.14454/7xq3-zf69 (2019).

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