• Output Type: Working Group Recommendation
  • Output Status: Endorsed
  • Review Period End: 2017-12-13
  • DOI:

    DOI: 10.15497/RDA00022

  • Group: Research Data Collections WG
  • Standards:
  • Regions:
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  • Non RDA Author(s)

  • Adopters

  • Abstract

    Research Data Collections WG
    Recommendation Title: Recommendation on Research Data Collections
    Group co-chairs: Bridget Almas, Frederik Baumgardt, Tobias Weigel, Thomas Zastrow
    Authors: Tobias Weigel, Deutsches Klimarechenzentrum (DKRZ), Bridget Almas, Perseus Digital Library / Tufts University, Frederik Baumgardt, Perseus Digital Library / Tufts University, Thomas Zastrow, Max-Planck Computing and Data Facility (MPCDF), Ulrich Schwardmann, Gesellschaft für Wissenschaftliche Datenverarbeitung Göttingen (GWDG), Maggie Hellström, ICOS Carbon Portal / Lund University, Javier Quinteros, GEOFON / GeoForschungsZentrum Potsdam (GFZ), Dirk Fleischer, Christian-Albrechts-Universität Kiel (CAU)
    Impact: Provides a comprehensive model for actionable collections and a technical interface specification to enable client-server interaction for research data collections.
    Recommendation package DOI10.15497/RDA00022
    Citation: Weigel Tobias, Almas Bridget, Baumgardt Frederik, Zastrow Thomas, Schwardmann Ulrich, Hellström Maggie, Quinteros Javier, Fleischer Dirk (2017): Recommendation on Research Data Collections. DOI: 10.15497/RDA00022.

    Recent efforts of the Research Data Alliance have established a conceptual model for the management of research data that promotes the use of digital objects, transcending the traditional notion of files and decoupling questions of access and use from location and storage. In this context, the need for building aggregations or collections of such objects has become an essential element. However, contemporary work on object collections focuses on primarily describing such collections through metadata, whereas research data management practice requires not only to describe collections, but to make them actionable by automated processes to be able to cope with ever increasing amounts and volumes of data. To this effect, this recommendation provides a comprehensive model for actionable collections and a technical interface specification to enable client-server interaction. It also reports on first adoption and implementation efforts across communities and institutions and provides perspectives on the use of data types in connection with collection structures, highlighting pathways for possible future work.

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  • Impact Statement

  • Primary Field or Expertise

  • Explanation of Sustainable Development Goals

  • Citations

  • Primary Domain: Natural Sciences
  • RDA Pathways:
  • Group Technology focus: Data (Output) Management Planning
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  • Sustainable Development Goals:
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