Connecting the data landscape of long-term ecological studies: The SPI-Birds data hub
Jazyk angličtina Země Anglie, Velká Británie Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
33205462
PubMed Central
PMC8518542
DOI
10.1111/1365-2656.13388
Knihovny.cz E-zdroje
- Klíčová slova
- FAIR data, birds, data standards, database, long-term studies, meta-data standards, research network,
- MeSH
- databáze faktografické MeSH
- metadata * MeSH
- ptáci * MeSH
- zvířata MeSH
- Check Tag
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
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 metadata languages (e.g. ecological meta-data language). The encouraging community involvement stems from SPI-Bird's decentralized approach: research groups retain full control over data use and their way of data management, while SPI-Birds creates tailored pipelines to convert each unique data format into a standard format. We outline the lessons learned, so that other communities (e.g. those working on other taxa) can adapt our successful model. Creating community-specific hubs (such as ours, COMADRE for animal demography, etc.) will aid much-needed large-scale ecological data integration.
Area of Toxicology Department of Health Sciences University of Murcia Murcia Spain
BECO do Departamento de Zoologia Universidade de São Paulo São Paulo Brazil
Behavioural Ecology Group Biological Sciences Anglia Ruskin University Cambridge UK
Biodiversity and Conservation Lab Department of Biology METU Ankara Turkey
Cavanilles Institute of Biodiversity and Evolutionary Biology University of Valencia Paterna Spain
Centre for Ecological Research Institute of Ecology and Botany Vácrátót Hungary
Centre for Ecology and Conservation University of Exeter Penryn Cornwall UK
Centre for Research in Animal Behaviour University of Exeter Exeter UK
Centre for the Advanced Study of Collective Behaviour University of Konstanz Konstanz Germany
Centre of New Technologies University of Warsaw Warsaw Poland
Département des Sciences Biologiques Université du Québec A Montréal Montréal Canada
Department de Ecología Evolutiva Museo Nacional de Ciencias Naturales Madrid Spain
Department of Animal and Plant Sciences University of Sheffield Sheffield UK
Department of Animal Behaviour Bielefeld University Bielefeld Germany
Department of Animal Ecology Netherlands Institute of Ecology Wageningen The Netherlands
Department of Biological Sciences University of Bergen Bergen Norway
Department of Biology Lund University Lund Sweden
Department of Biology University of Antwerp Antwerp Belgium
Department of Biology University of Konstanz Konstanz Germany
Department of Biology University of Turku Turku Finland
Department of Collective Behavior Max Planck Institute of Animal Behavior Konstanz Germany
Department of Ecology and Genetics and Animal Ecology Uppsala University Uppsala Sweden
Department of Ethology and Biodiversity Conservation Estación Biológica de Doñana CSIC Seville Spain
Department of Evolutionary Genetics Leibniz Institute for Zoo and Wildlife Research Berlin Germany
Department of Life Sciences Imperial College London Ascot UK
Department of Nature Conservation Environmental Board Estonia
Department of Vertebrate Zoology Faculty of Biology Lomonosov Moscow State Univ Moscow Russia
Department of Wetland Ecology Estación Biológica de Doñana Sevilla Spain
Department of Zoology and Physical Anthropology University of Murcia Murcia Spain
Department of Zoology Faculty of Science Palacký University Olomouc Czech Republic
Department of Zoology Institute of Ecology and Earth Sciences University of Tartu Tartu Estonia
Department of Zoology University of Otago Dunedin New Zealand
Department STEBICEF Università degli Studi di Palermo Palermo Italy
Division of Biological Sciences University of Montana Missoula USA
Ecology and Genetics Research Unit University of Oulu Oulu Finland
Edward Grey Institute Department of Zoology University of Oxford Oxford UK
Environmental Engineering Department Hacettepe University Ankara Turkey
Evolutionary Physiology Group Max Planck Institute for Ornithology Seewiesen Germany
Graduate School of Environment Science Hokkaido University Sapporo Japan
Groningen Institute for Evolutionary Life Sciences University of Groningen Groningen
Institute of Avian Research Wilhelmshaven Germany
Institute of Biodiversity Animal Health and Comparative Medicine University of Glasgow Glasgow UK
Institute of Environmental Sciences Jagiellonian University Kraków
Institute of Environmental Sciences Jagiellonian University Krakow Poland
Institute of Ornithology Croatian Academy of Sciences and Arts Zagreb Croatia
Kevo Subarctic Research Institute University of Turku Turku Finland
Laboratory of Ornithology Cornell University Ithaca NY USA
Lancaster Environment Centre Lancaster University Lancaster UK
MTA PE Evolutionary Ecology Research Group University of Pannonia Veszprém Hungary
Museum and Institute of Zoology Polish Academy of Sciences Warsaw Poland
Ornithological Station Museum and Institute of Zoology Polish Academy of Sciences Gdańsk Poland
RSPB Centre for Conservation Science The Lodge Sandy UK
School of Biological Earth and Environmental Sciences University College Cork Cork Ireland
Station d'Ecologie Théorique et Expérimentale du CNRS Moulis France
Stazione Ornitologica Monreale Italy
Universitat Politècnica de València Valencia Spain
Université de Strasbourg CNRS IPHC UMR 7178 Strasbourg France
Yamashina Institute for Ornithology Abiko Japan
Zvenigorod Biological Station Faculty of Biology Lomonosov Moscow State University Moscow Russia
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MacaqueNet: Advancing comparative behavioural research through large-scale collaboration
Integrating animal tracking and trait data to facilitate global ecological discoveries
Connecting the data landscape of long-term ecological studies: The SPI-Birds data hub