Towards Globally Unique Identification of Physical Samples: Governance and Technical Implementation of the IGSN Global Sample Number. (28th October 2021)
- Record Type:
- Journal Article
- Title:
- Towards Globally Unique Identification of Physical Samples: Governance and Technical Implementation of the IGSN Global Sample Number. (28th October 2021)
- Main Title:
- Towards Globally Unique Identification of Physical Samples: Governance and Technical Implementation of the IGSN Global Sample Number
- Authors:
- Klump, Jens
Lehnert, Kerstin
Ulbricht, Damian
Devaraju, Anusuriya
Elger, Kirsten
Fleischer, Dirk
Ramdeen, Sarah
Wyborn, Lesley - Abstract:
- Persistent unique identifiers (PID) are a critical element in digital research data infrastructure to unambiguously identify, locate, and cite digital representations of a growing range of entities – publications, data, instruments, organizations, funding awards, field programs, and others. The IGSN was developed as the International Geo Sample Number to provide a persistent, globally unique, web resolvable identifier for physical samples. IGSN is both a governance and technical system for assigning globally unique persistent identifiers to physical samples. Even though initially developed for samples in the geosciences, the application of IGSN can be and has already been expanded to other domains that rely on physical samples and collections. This paper describes the current architecture and technical implementation of IGSN, how IGSN relates to other sample identifiers, and how its technical systems are supported by an international governance structure.
- Is Part Of:
- Data science journal. Volume 20(2021)
- Journal:
- Data science journal
- Issue:
- Volume 20(2021)
- Issue Display:
- Volume 20, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 20
- Issue:
- 2021
- Issue Sort Value:
- 2021-0020-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-10-28
- Subjects:
- persistent identifier -- metadata -- physical specimen -- research data infrastructure
Science -- Data processing -- Periodicals
Database management -- Periodicals
502.85 - Journal URLs:
- http://datascience.codata.org/ ↗
http://www.codata.org/dsj/index.html ↗ - DOI:
- 10.5334/dsj-2021-033 ↗
- Languages:
- English
- ISSNs:
- 1683-1470
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 17620.xml