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Persistent identification of instruments

2020, Stocker, M., Darroch, L., Krahl, R., Habermann, T., Devaraju, A., Schwardmann, U., D’onofrio, C., Häggström, I.

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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DataCite and linked data

2013, Brase, Jan

Science is global, it needs global standards, global workflows and is a cooperation of global players. But science is carried out locally by local scientists that are part of local infrastructures with local funders. DataCite is an international consortium, founded in 2009 of currently 17 institutions from 12 countries worldwide. Its mission is to allow a better re-use and citation of data sets. Over 1 million datasets have been registered with a DOI name as a persistent identifier, so they can be published as independent scientific objects to allow stabile citation of data. Citable data sets can be crosslinked from journal articles, their usage and citations can be measured therefore helping scientists gain credit for making their data available. DataCite offers a central metadata repository with additional linked data service for persistent access to RDF metadata.

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Persistent Identification Of Instruments

2020, Stocker, Markus, Darroch, Louise, Krahl, Rolf, Habermann, Ted, Devaraju, Anusuriya, Schwardmann, Ulrich, D'Onofrio, Claudio, Häggström, Ingemar

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.