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Persistent identification of instrument

Stocker, Markus ; Darroch, Louise ; Krahl, Rolf ; Habermann, Ted ; Devaraju, Anusuriya ; Schwardmann, Ulrich ; D’onofrio, Claudio LU orcid and Häggström, Ingemar (2020) In Data Science Journal 19(1).
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... (More)

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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author
; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
DOI, Handle, Instruments, Metadata, Persistent Identification
in
Data Science Journal
volume
19
issue
1
article number
18
publisher
Committee on Data for Science and Technology
external identifiers
  • scopus:85084437255
ISSN
1683-1470
DOI
10.5334/dsj-2020-018
language
English
LU publication?
yes
id
58ae401c-6edb-4011-82b9-525b6d656cb6
date added to LUP
2020-05-27 12:30:45
date last changed
2022-04-18 22:22:42
@article{58ae401c-6edb-4011-82b9-525b6d656cb6,
  abstract     = {{<p>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.</p>}},
  author       = {{Stocker, Markus and Darroch, Louise and Krahl, Rolf and Habermann, Ted and Devaraju, Anusuriya and Schwardmann, Ulrich and D’onofrio, Claudio and Häggström, Ingemar}},
  issn         = {{1683-1470}},
  keywords     = {{DOI; Handle; Instruments; Metadata; Persistent Identification}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{Committee on Data for Science and Technology}},
  series       = {{Data Science Journal}},
  title        = {{Persistent identification of instrument}},
  url          = {{http://dx.doi.org/10.5334/dsj-2020-018}},
  doi          = {{10.5334/dsj-2020-018}},
  volume       = {{19}},
  year         = {{2020}},
}