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dc.contributor.authorStocker, Markus
dc.contributor.authorDarroch, Louise
dc.contributor.authorKrahl, Rolf
dc.contributor.authorHabermann, Ted
dc.contributor.authorDevaraju, Anusuriya
dc.contributor.authorSchwardmann, Ulrich
dc.contributor.authorD'Onofrio, Claudio
dc.contributor.authorHäggström, Ingemar
dc.date.accessioned2020-08-25T13:18:02Z
dc.date.available2020-08-25T13:18:02Z
dc.date.issued2020
dc.identifier.citationStocker, M.; Darroch, L.; Krahl, R.; Habermann, T.,; Devaraju, A.; Schwardmann, U.; D'Onofrio, C. and Häggström, I. (2020) Persistent Identification of Instruments. Data Science Journal, 19:18, 12pp.. DOI: http://doi.org/10.5334/dsj-2020-018en_US
dc.identifier.urihttp://hdl.handle.net/11329/1401
dc.identifier.urihttp://dx.doi.org/10.25607/OBP-907
dc.description.abstractInstruments 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.en_US
dc.language.isoenen_US
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.otherPersistent Identification
dc.subject.otherInstruments
dc.subject.otherMetadata
dc.subject.otherDOI
dc.subject.otherHandle
dc.titlePersistent Identification of Instruments.en_US
dc.typeJournal Contributionen_US
dc.description.refereedRefereeden_US
dc.format.pagerange12pp.en_US
dc.identifier.doi10.5334/dsj-2020-018
dc.subject.parameterDisciplineParameter Discipline::Cross-disciplineen_US
dc.subject.dmProcessesData Management Practices::Metadata managementen_US
dc.subject.dmProcessesData Management Practices::Data transmission/networkingen_US
dc.bibliographicCitation.titleData Science Journalen_US
dc.bibliographicCitation.volume19en_US
dc.bibliographicCitation.issueArticle 18en_US
dc.description.maturitylevelTRL 2 Technology concept and/or application formulateden_US
dc.description.bptypeBest Practiceen_US
obps.contact.contactnameMarkus Stocker
obps.contact.contactemailmarkus.stocker@tib.eu
obps.resourceurl.publisherhttps://datascience.codata.org/articles/10.5334/dsj-2020-018/en_US


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International