People are essential to linking biodiversity data.
Journal
Database : the journal of biological databases and curation
ISSN: 1758-0463
Titre abrégé: Database (Oxford)
Pays: England
ID NLM: 101517697
Informations de publication
Date de publication:
27 11 2020
27 11 2020
Historique:
received:
12
05
2020
revised:
27
07
2020
accepted:
31
07
2020
entrez:
13
1
2021
pubmed:
14
1
2021
medline:
21
10
2021
Statut:
ppublish
Résumé
People are one of the best known and most stable entities in the biodiversity knowledge graph. The wealth of public information associated with people and the ability to identify them uniquely open up the possibility to make more use of these data in biodiversity science. Person data are almost always associated with entities such as specimens, molecular sequences, taxonomic names, observations, images, traits and publications. For example, the digitization and the aggregation of specimen data from museums and herbaria allow us to view a scientist's specimen collecting in conjunction with the whole corpus of their works. However, the metadata of these entities are also useful in validating data, integrating data across collections and institutional databases and can be the basis of future research into biodiversity and science. In addition, the ability to reliably credit collectors for their work has the potential to change the incentive structure to promote improved curation and maintenance of natural history collections.
Identifiants
pubmed: 33439246
pii: 6094701
doi: 10.1093/database/baaa072
pmc: PMC7805432
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© The Author(s) 2020. Published by Oxford University Press.
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