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  3. Vol. 44 No. 3 (2020): IASSIST Quarterly

Vol. 44 No. 3 (2020): IASSIST Quarterly

Published: 2020-09-23

Editor's Notes

  • Knowing what to do and how to do it: High transparency and careful curation of data and metadata

    Karsten Rasmussen
    • PDF

Articles

  • Standards and scoring to increase transparency for archived public opinion data

    Kathleen Weldon
    • PDF
  • Capturing their “first” dataset: A graduate course to walk PhD students through the curation of their dissertation data

    Megan Sapp Nelson, Ningning Nicole Kong
    • PDF
  • The matter of meta in research data management: Introducing the CESSDA Metadata Office Project

    André Förster, Kerrin Borschewski, Sharon Bolton, Taina Jääskeläinen
    • PDF

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IASSIST Quarterly is a peer-reviewed, indexed, open access quarterly publication of articles dealing with social science information and data services, including relevant societal, legal, and ethical issues.

ISSN: 2331-4141

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