Towards globally unique identification of physical samples: Governance and technical implementation of the igsn global sample number
dc.contributor.author | Klump, Jens | |
dc.contributor.author | Lehnert, Kerstin | |
dc.contributor.author | Ulbricht, Damian | |
dc.contributor.author | Devaraju, Anusuriya | |
dc.contributor.author | Elger, Kirsten | |
dc.contributor.author | Fleischer, Dirk | |
dc.contributor.author | Ramdeen, Sarah | |
dc.contributor.author | Wyborn, Lesley | |
dc.date.accessioned | 2023-08-03T01:24:13Z | |
dc.date.available | 2023-08-03T01:24:13Z | |
dc.date.issued | 2021 | |
dc.date.updated | 2022-06-26T08:16:59Z | |
dc.description.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. | en_AU |
dc.description.sponsorship | The 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.mimetype | application/pdf | en_AU |
dc.identifier.issn | 1683-1470 | en_AU |
dc.identifier.uri | http://hdl.handle.net/1885/294769 | |
dc.language.iso | en_AU | en_AU |
dc.provenance | This 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.publisher | Committee on Data for Science and Technology (CODATA) International Council for Science (ICSU) | en_AU |
dc.rights | © 2021 The Author(s). | en_AU |
dc.rights.license | Creative Commons Attribution License | en_AU |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_AU |
dc.source | Data Science Journal | en_AU |
dc.title | Towards globally unique identification of physical samples: Governance and technical implementation of the igsn global sample number | en_AU |
dc.type | Journal article | en_AU |
dcterms.accessRights | Open Access | en_AU |
local.bibliographicCitation.issue | 1 | en_AU |
local.bibliographicCitation.lastpage | 16 | en_AU |
local.bibliographicCitation.startpage | 1 | en_AU |
local.contributor.affiliation | Klump, Jens, CSIRO Mineral Resources | en_AU |
local.contributor.affiliation | Lehnert, Kerstin, Columbia University | en_AU |
local.contributor.affiliation | Ulbricht, Damian, GFZ German Research Centre for Geosciences | en_AU |
local.contributor.affiliation | Devaraju, Anusuriya, University of Queensland | en_AU |
local.contributor.affiliation | Elger, Kirsten, GFZ German Research Centre for Geosciences | en_AU |
local.contributor.affiliation | Fleischer, Dirk, Christian-Albrechts-Universitat zu Kiel | en_AU |
local.contributor.affiliation | Ramdeen, Sarah, Colombia University | en_AU |
local.contributor.affiliation | Wyborn, Lesley, College of Science, ANU | en_AU |
local.contributor.authoremail | u1848757@anu.edu.au | en_AU |
local.contributor.authoruid | Wyborn, Lesley, u1848757 | en_AU |
local.description.notes | Imported from ARIES | en_AU |
local.identifier.absfor | 370499 - Geoinformatics not elsewhere classified | en_AU |
local.identifier.ariespublication | a383154xPUB23856 | en_AU |
local.identifier.citationvolume | 20 | en_AU |
local.identifier.doi | 10.5334/DSJ-2021-033 | en_AU |
local.identifier.scopusID | 2-s2.0-85121151960 | |
local.identifier.uidSubmittedBy | a383154 | en_AU |
local.publisher.url | https://datascience.codata.org/articles/10.5334/dsj-2021-033 | en_AU |
local.type.status | Published Version | en_AU |
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