Cristin-resultat-ID: 1858014
Sist endret: 17. februar 2021, 11:21
NVI-rapporteringsår: 2020
Resultat
Vitenskapelig artikkel
2020

Connecting the data landscape of long‐term ecological studies: The SPI‐Birds data hub

Bidragsytere:
  • Antica Culina
  • Frank Adriaensen
  • Liam D. Bailey
  • Malcolm Burgess
  • Anne Charmantier
  • Ella F Cole
  • mfl.

Tidsskrift

Journal of Animal Ecology
ISSN 0021-8790
e-ISSN 1365-2656
NVI-nivå 2

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2020
Publisert online: 2020
Sider: 1 - 14
Open Access

Importkilder

Scopus-ID: 2-s2.0-85097017566

Klassifisering

Vitenskapsdisipliner

Zoologiske og botaniske fag

Beskrivelse Beskrivelse

Tittel

Connecting the data landscape of long‐term ecological studies: The SPI‐Birds data hub

Sammendrag

The integration and synthesis of the data in different areas of science is drastically slowed and hindered by a lack of standards and networking programmes. Long‐term studies of individually marked animals are not an exception. These studies are especially important as instrumental for understanding evolutionary and ecological processes in the wild. Furthermore, their number and global distribution provides a unique opportunity to assess the generality of patterns and to address broad‐scale global issues (e.g. climate change). To solve data integration issues and enable a new scale of ecological and evolutionary research based on long‐term studies of birds, we have created the SPI‐Birds Network and Database (www.spibirds.org)—a large‐scale initiative that connects data from, and researchers working on, studies of wild populations of individually recognizable (usually ringed) birds. Within year and a half since the establishment, SPI‐Birds has recruited over 120 members, and currently hosts data on almost 1.5 million individual birds collected in 80 populations over 2,000 cumulative years, and counting. SPI‐Birds acts as a data hub and a catalogue of studied populations. It prevents data loss, secures easy data finding, use and integration and thus facilitates collaboration and synthesis. We provide community‐derived data and meta‐data standards and improve data integrity guided by the principles of Findable, Accessible, Interoperable and Reusable (FAIR), and aligned with the existing met

Bidragsytere

Antica Culina

  • Tilknyttet:
    Forfatter
    ved Nederlands Instituut voor Ecologie

Frank Adriaensen

  • Tilknyttet:
    Forfatter
    ved Universiteit Antwerpen

Liam D. Bailey

  • Tilknyttet:
    Forfatter
    ved Leibniz-Institut für Zoo- und Wildtierforschung
  • Tilknyttet:
    Forfatter
    ved Nederlands Instituut voor Ecologie

Malcolm Burgess

  • Tilknyttet:
    Forfatter
    ved Storbritannia og Nord-Irland
  • Tilknyttet:
    Forfatter
    ved University of Exeter

Anne Charmantier

  • Tilknyttet:
    Forfatter
    ved Université Paul-Valéry - Montpellier 3
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