Towards globally unique identification of physical samples: Governance and technical implementation of the igsn global sample number

dc.contributor.authorKlump, Jens
dc.contributor.authorLehnert, Kerstin
dc.contributor.authorUlbricht, Damian
dc.contributor.authorDevaraju, Anusuriya
dc.contributor.authorElger, Kirsten
dc.contributor.authorFleischer, Dirk
dc.contributor.authorRamdeen, Sarah
dc.contributor.authorWyborn, Lesley
dc.date.accessioned2023-08-03T01:24:13Z
dc.date.available2023-08-03T01:24:13Z
dc.date.issued2021
dc.date.updated2022-06-26T08:16:59Z
dc.description.abstractPersistent 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.en_AU
dc.description.sponsorshipThe original development of the IGSN was supported by the US National Science Foundation through grants to K. Lehnert (award nos. 04-45178, 05-14551, 05-50914, and 05-52123). Work on the Australian implementation was supported by the 2018-2020 Australian Research Data Commons (ARDC) Geoscience Data-enhanced Virtual Laboratory (GeoDeVL) Program. Designing the future of IGSN was supported by the Alfred P. Sloan Foundation in the IGSN 2040 project (Grant Agreement G-2018-11137).en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1683-1470en_AU
dc.identifier.urihttp://hdl.handle.net/1885/294769
dc.language.isoen_AUen_AU
dc.provenanceThis is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/ licenses/by/4.0/.en_AU
dc.publisherCommittee on Data for Science and Technology (CODATA) International Council for Science (ICSU)en_AU
dc.rights© 2021 The Author(s).en_AU
dc.rights.licenseCreative Commons Attribution Licenseen_AU
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_AU
dc.sourceData Science Journalen_AU
dc.titleTowards globally unique identification of physical samples: Governance and technical implementation of the igsn global sample numberen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue1en_AU
local.bibliographicCitation.lastpage16en_AU
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationKlump, Jens, CSIRO Mineral Resourcesen_AU
local.contributor.affiliationLehnert, Kerstin, Columbia Universityen_AU
local.contributor.affiliationUlbricht, Damian, GFZ German Research Centre for Geosciencesen_AU
local.contributor.affiliationDevaraju, Anusuriya, University of Queenslanden_AU
local.contributor.affiliationElger, Kirsten, GFZ German Research Centre for Geosciencesen_AU
local.contributor.affiliationFleischer, Dirk, Christian-Albrechts-Universitat zu Kielen_AU
local.contributor.affiliationRamdeen, Sarah, Colombia Universityen_AU
local.contributor.affiliationWyborn, Lesley, College of Science, ANUen_AU
local.contributor.authoremailu1848757@anu.edu.auen_AU
local.contributor.authoruidWyborn, Lesley, u1848757en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor370499 - Geoinformatics not elsewhere classifieden_AU
local.identifier.ariespublicationa383154xPUB23856en_AU
local.identifier.citationvolume20en_AU
local.identifier.doi10.5334/DSJ-2021-033en_AU
local.identifier.scopusID2-s2.0-85121151960
local.identifier.uidSubmittedBya383154en_AU
local.publisher.urlhttps://datascience.codata.org/articles/10.5334/dsj-2021-033en_AU
local.type.statusPublished Versionen_AU

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