• Output Type: Working Group Supporting Output
  • Output Status: Endorsed
  • Review Period End: 2018-08-20
  • Abstract

    Data Fabric Interest Group

    Group co-chairs: Jianhui Li, Tobias Weigel

    Supporting Output title: Persistent identifiers: Consolidated assertions

    Editors: Peter Wittenburg, Margareta Hellström, and Carlo-Maria Zwölf

    Co-authors: Hossein Abroshan, Ari Asmi, Giuseppe Di Bernardo, Danielle Couvreur, Tamas Gaizer, Petr Holub, Rob Hooft, Ingemar Häggström, Manfred Kohler, Dimitris Koureas, Wolfgang Kuchinke, Luciano Milanesi, Joseph Padfield, Antonio Rosato, Christine Staiger, Dieter van Uytvanck and Tobias Weigel 

    DOI: 10.15497/RDA00027

    Citation: Peter Wittenburg, Margareta Hellström, and Carlo-Maria Zwölf (eds.), Hossein Abroshan, Ari Asmi, Giuseppe Di Bernardo, Danielle Couvreur, Tamas Gaizer, Petr Holub, Rob Hooft, Ingemar Häggström, Manfred Kohler, Dimitris Koureas, Wolfgang Kuchinke, Luciano Milanesi, Joseph Padfield, Antonio Rosato, Christine Staiger, Dieter van Uytvanck and Tobias Weigel  (2017): Persistent identifiers: Consolidated assertions. DOI: 10.15497/RDA00027.

     

    Summary:

    Experts from 47 European research infrastructure initiatives and ERICs have agreed on a set of assertions about the nature, the creation and the usage of Persistent Identifiers (PIDs). This work was done in close synchronisation with the RDA Data Fabric Interest Group (DFIG) ensuring a global validation of the assertions. The intention of this cross-disciplinary report is to overcome still existing confusions about PIDs and the lack of detail knowledge in many disciplines. It is not meant to produce yet another comprehensive document on PIDs, but to identify agreements across documents that have been suggested to be included by experts. With this document GEDE is happy to help demystify PIDs, overcome confusion and create bridges between the various disciplines.

     

    Supporting Output file: 

    https://rd-alliance.org/system/files/PID-report_v6.1_2017-12-13_final.pdf

     

  • Group Technology focus: Data (Output) Management Planning
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