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Data Management in Scholarly Journals and Possible Roles for Libraries - Some Insights from EDaWaX

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  • Vlaeminck, Sven
Abstract
In this paper we summarize the findings of an empirical study conducted by the EDaWaX-Project. 141 economics journals were examined regarding the quality and extent of data availability policies that should support replications of published empirical results in economics. This paper suggests criteria for such policies that aim to facilitate replications. These criteria were also used for analysing the data availability policies we found in our sample and to identify best practices for data policies of scholarly journals in economics. In addition, we also evaluated the journals’ data archives and checked the percentage of articles associated with research data. To conclude, an appraisal as to how scientific libraries might support the linkage of publications to underlying research data in cooperation with researchers, editors, publishers and data centres is presented.

Suggested Citation

  • Vlaeminck, Sven, 2013. "Data Management in Scholarly Journals and Possible Roles for Libraries - Some Insights from EDaWaX," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 23(1), pages 49-79.
  • Handle: RePEc:zbw:espost:106609
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    File URL: https://www.econstor.eu/bitstream/10419/106609/1/8082-14752-1-PB.pdf
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    References listed on IDEAS

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    Cited by:

    1. Jan H. Höffler, 2017. "Replication and Economics Journal Policies," American Economic Review, American Economic Association, vol. 107(5), pages 52-55, May.
    2. Mueller-Langer, Frank & Fecher, Benedikt & Harhoff, Dietmar & Wagner, Gert G., 2019. "Replication studies in economics—How many and which papers are chosen for replication, and why?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 48(1), pages 62-83.
    3. Vlaeminck, Sven & Herrmann, Lisa-Kristin, 2015. "Data Policies and Data Archives: A New Paradigm for Academic Publishing in Economic Sciences?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 145-155.
    4. Paul Sturges & Marianne Bamkin & Jane H.S. Anders & Bill Hubbard & Azhar Hussain & Melanie Heeley, 2015. "Research data sharing: Developing a stakeholder-driven model for journal policies," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(12), pages 2445-2455, December.
    5. Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, 2013. "Wachstum, Wohlstand, Lebensqualität - Auszug aus dem Jahresgutachten 2013/14," RatSWD Working Papers 227, German Data Forum (RatSWD).
    6. Jan H. Höffler, 2020. "Making replicability the norm starting with oneself and depersonalizing research debates," Replication Working Papers 2/2020, Institut für Statistik und Ökonometrie, Wirtschaftswissenschaftliche Fakultät, Georg-August-Universität Göttingen, Replication project.
    7. Maren Duvendack & Richard Palmer-Jones & W. Robert Reed, 2017. "What Is Meant by "Replication" and Why Does It Encounter Resistance in Economics?," American Economic Review, American Economic Association, vol. 107(5), pages 46-51, May.
    8. Sven Vlaeminck & Gert G. Wagner, 2013. "On the role of research data centres in the management of publication-related research data - Results of a survey among scientific infrastructure service providers," RatSWD Working Papers 226, German Data Forum (RatSWD).

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