Persistent Identification of Instruments

Authors

  • Markus Stocker TIB Leibniz Information Centre for Science and Technology, Hannover; PANGAEA, Center for Marine Environmental Sciences (MARUM), University of Bremen, Bremen
  • Louise Darroch British Oceanographic Data Centre, National Oceanography Centre, Liverpool
  • Rolf Krahl Helmholtz-Zentrum Berlin für Materialien und Energie GmbH, Berlin
  • Ted Habermann Metadata Game Changers, Boulder, Colorado
  • Anusuriya Devaraju PANGAEA, Center for Marine Environmental Sciences (MARUM), University of Bremen, Bremen
  • Ulrich Schwardmann GWDG, Gesellschaft für wissenschaftliche Datenverarbeitung Göttingen, Göttingen
  • Claudio D'Onofrio ICOS Carbon Portal, Lund University, Physical Geography & Ecosystem Science, Lund
  • Ingemar Häggström EISCAT Scientific Association, Kiruna

DOI:

https://doi.org/10.5334/dsj-2020-018

Keywords:

Persistent Identification, Instruments, Metadata, DOI, Handle

Abstract

Instruments play an essential role in creating research data. Given the importance of instruments and associated metadata to the assessment of data quality and data reuse, globally unique, persistent and resolvable identification of instruments is crucial. The Research Data Alliance Working Group Persistent Identification of Instruments (PIDINST) developed a community-driven solution for persistent identification of instruments which we present and discuss in this paper. Based on an analysis of 10 use cases, PIDINST developed a metadata schema and prototyped schema implementation with DataCite and ePIC as representative persistent identifier infrastructures and with HZB (Helmholtz-Zentrum Berlin für Materialien und Energie) and BODC (British Oceanographic Data Centre) as representative institutional instrument providers. These implementations demonstrate the viability of the proposed solution in practice. Moving forward, PIDINST will further catalyse adoption and consolidate the schema by addressing new stakeholder requirements.

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Published

2020-05-05

Issue

Vol. 19 (2020)

Section

Research Papers

Categories

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