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

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...

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Veröffentlicht in:Journal of Animal Ecology Jg. 90; H. 9; S. 2147 - 2160
Hauptverfasser: Culina, Antica, Bailey, Liam D., Burgess, Malcolm D., Charmantier, Anne, Cole, Ella F., Eeva, Tapio, Matthysen, Erik, Nater, Chloé R., Sheldon, Ben C., Sæther, Bernt‐Erik, Vriend, Stefan J. G., Adamík, Peter, Aplin, Lucy M., Angulo, Elena, Artemyev, Alexandr, Barba, Emilio, Barišić, Sanja, Belda, Eduardo, Bleu, Josefa, Both, Christiaan, Bouwhuis, Sandra, Branston, Claire J., Broggi, Juli, Burke, Terry, Bushuev, Andrey, Camacho, Carlos, Campobello, Daniela, Canal, David, Cantarero, Alejandro, Caro, Samuel P., Chaine, Alexis, Cichoń, Mariusz, Cusimano, Camillo A., Deimel, Caroline, Dhondt, André A., Dingemanse, Niels J., Doligez, Blandine, Dominoni, Davide M., Doutrelant, Claire, Dubiec, Anna, Eens, Marcel, Einar Erikstad, Kjell, Espín, Silvia, Farine, Damien R., Kavak Gülbeyaz, Pınar, Grégoire, Arnaud, Hartley, Ian R., Hau, Michaela, Hegyi, Gergely, Hille, Sabine, Holtmann, Benedikt, Ilyina, Tatyana, Isaksson, Caroline, Iserbyt, Arne, Ivankina, Elena, Kempenaers, Bart, Kerimov, Anvar, Komdeur, Jan, Korsten, Peter, Krist, Miloš, Lambrechts, Marcel, Lara, Carlos E., Leivits, Agu, Liker, András, Lodjak, Jaanis, Mainwaring, Mark C., Mänd, Raivo, Massa, Bruno, Massemin, Sylvie, Martínez‐Padilla, Jesús, Mazgajski, Tomasz D., Moreno, Juan, Mouchet, Alexia, Nilsson, Jan‐Åke, Nilsson, Johan F., Cláudia Norte, Ana, Oers, Kees, Orell, Markku, Potti, Jaime, Quinn, John L., Réale, Denis, Kristin Reiertsen, Tone, Rosivall, Balázs, Russell, Andrew F, Sánchez‐Virosta, Pablo, Santos, Eduardo S. A., Schroeder, Julia, Senar, Juan Carlos, Seress, Gábor, Slagsvold, Tore, Szulkin, Marta, Teplitsky, Céline, Tolstoguzov, Andrey, Török, János, Valcu, Mihai, Vatka, Emma, Watson, Hannah, Yuta, Teru, Zamora‐Marín, José M., Visser, Marcel E.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England Wiley 01.09.2021
Blackwell Publishing Ltd
John Wiley and Sons Inc
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ISSN:0021-8790, 1365-2656, 1365-2656
Online-Zugang:Volltext
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Abstract 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. SPI‐Birds is a global‐scale initiative that creates meta‐data and data standards for data collected in populations of uniquely marked individuals that are followed over years. The authors host data on nearly 1.5 million birds collected over cumulative 2000 years. Everyone can search for populations and request their data via SPI‐Birds database.
AbstractList 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.
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.
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.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.
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. SPI‐Birds is a global‐scale initiative that creates meta‐data and data standards for data collected in populations of uniquely marked individuals that are followed over years. The authors host data on nearly 1.5 million birds collected over cumulative 2000 years. Everyone can search for populations and request their data via SPI‐Birds database.
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. SPI‐Birds is a global‐scale initiative that creates meta‐data and data standards for data collected in populations of uniquely marked individuals that are followed over years. The authors host data on nearly 1.5 million birds collected over cumulative 2000 years. Everyone can search for populations and request their data via SPI‐Birds database.
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 ()-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.
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. © 2020 The Authors. Journal of Animal Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society
Author Seppo Rytkönen
José M. Zamora-Marín
Tapio Eeva
Andrey Tolstoguzov
Hannah Watson
Juan Carlos Senar
Johan Nilsson
Elena Angulo
Bernt-Erik Sæther
Damien R. Farine
Szymon M. Drobniak
Jan Komdeur
Miroslav Král
Ella F. Cole
Claire J. Branston
Tone Kristin Reiertsen
Josefa Bleu
Erik Matthysen
Claire Doutrelant
Andrew F. Russell
Carlos Camacho
Pınar Kavak Gülbeyaz
Jaime Potti
Emilio Barba
Eduardo J. Belda
C. Can Bilgin
Caroline Deimel
Bruno Massa
Stefan J. G. Vriend
Shinichi Nakagawa
Marcel M. Lambrechts
Caroline Isaksson
T.A. Ilyina
Alexandr Artemyev
Mark C. Mainwaring
Camilla A. Hinde
Marko Mägi
John L. Quinn
Sabine Marlene Hille
Jordi Figuerola
Silvia Espín
Gergely Hegyi
Pablo Sánchez-Virosta
Tomasz D. Mazgajski
Anvar Kerimov
Maxime Cauchoix
Davor Ćiković
Peter Adamík
Arnaud Grégoire
Céline Teplitsky
Julia Schroeder
Gábor Seress
Blandine Doligez
Benedikt Holtmann
Malcolm D. Burgess
Mariusz Cichoń
Anna Dubiec
Arne Iserbyt
Simon Verhulst
Tore Slagsvold
Jesús Martínez-Padilla
Agu Leivits
Anne Charmantier
András Liker
Ana Cláudia Norte
Liam D. Bailey
Mihai Va
AuthorAffiliation 40 Norwegian Institute for Nature Research FRAM – High North Research Centre for Climate and the Environment Tromsø Norway
51 Ornithological Station, Museum and Institute of Zoology Polish Academy of Sciences Gdańsk Poland
13 Centre for the Advanced Study of Collective Behaviour University of Konstanz Konstanz Germany
21 Groningen Institute for Evolutionary Life Sciences University of Groningen Groningen
22 Institute of Avian Research Wilhelmshaven Germany
23 Institute of Biodiversity, Animal Health & Comparative Medicine University of Glasgow Glasgow UK
16 Cavanilles Institute of Biodiversity and Evolutionary Biology University of Valencia Paterna Spain
52 Department Behavioural Ecology & Evolutionary Genetics Max Planck Institute for Ornithology Seewiesen Germany
11 Department of Zoology Faculty of Science Palacký University Olomouc Czech Republic
75 Graduate School of Environment Science Hokkaido University Sapporo Japan
17 Institute of Ornithology Croatian Academy of Sciences and Arts Zagreb
AuthorAffiliation_xml – name: 31 Institute of Environmental Sciences Jagiellonian University Kraków
– name: 34 Behavioural Ecology Department of Biology Ludwig‐Maximilians University of Munich Planegg‐Martinsried Germany
– name: 2 Department of Biology University of Antwerp Antwerp Belgium
– name: 40 Norwegian Institute for Nature Research FRAM – High North Research Centre for Climate and the Environment Tromsø Norway
– name: 23 Institute of Biodiversity, Animal Health & Comparative Medicine University of Glasgow Glasgow UK
– name: 25 Department of Vertebrate Zoology Faculty of Biology Lomonosov Moscow State Univ Moscow Russia
– name: 60 Department of Biological Sciences University of Bergen Bergen Norway
– name: 41 Area of Toxicology Department of Health Sciences University of Murcia Murcia Spain
– name: 62 Department of Life Sciences MARE ‐ Marine and Environmental Sciences Centre University of Coimbra Coimbra Portugal
– name: 14 Department of Ethology and Biodiversity Conservation Estación Biológica de Doñana‐CSIC Seville Spain
– name: 26 Department of Biology Lund University Lund Sweden
– name: 29 Centre for Ecological Research Institute of Ecology and Botany Vácrátót Hungary
– name: 66 Département des Sciences Biologiques Université du Québec A Montréal Montréal Canada
– name: 49 Behavioural Ecology Group Biological Sciences Anglia Ruskin University Cambridge UK
– name: 35 CNRS Department of Biometry & Evolutionary Biology University Lyon 1, University of Lyon Villeurbanne France
– name: 18 Universitat Politècnica de València Valencia Spain
– name: 27 Stazione Ornitologica Monreale Italy
– name: 76 Department of Zoology and Physical Anthropology University of Murcia Murcia Spain
– name: 36 Department of Ecology and Genetics and Animal Ecology Uppsala University Uppsala Sweden
– name: 63 Behavioural Ecology Group Department of Animal Sciences Wageningen University & Research Wageningen The Netherlands
– name: 11 Department of Zoology Faculty of Science Palacký University Olomouc Czech Republic
– name: 16 Cavanilles Institute of Biodiversity and Evolutionary Biology University of Valencia Paterna Spain
– name: 70 Evolutionary and Behavioural Ecology Research Unit Museu de Ciències Naturals de Barcelona Barcelona Spain
– name: 48 Department of integrative Biology and Biodiversity Research University of Natural Resources and Life Sciences Vienna Vienna Austria
– name: 6 CEFE University of Montpellier CNRS EPHE IRD University of Paul Valéry Montpellier 3 Montpellier France
– name: 8 Department of Biology University of Turku Turku Finland
– name: 67 Centre for Ecology and Conservation University of Exeter Penryn Cornwall UK
– name: 75 Graduate School of Environment Science Hokkaido University Sapporo Japan
– name: 68 BECO do Departamento de Zoologia Universidade de São Paulo São Paulo Brazil
– name: 30 Station d’Ecologie Théorique et Expérimentale du CNRS (UMR5321) Moulis France
– name: 64 Ecology and Genetics Research Unit University of Oulu Oulu Finland
– name: 53 Department of Animal Behaviour Bielefeld University Bielefeld Germany
– name: 45 Environmental Engineering Department Hacettepe University Ankara Turkey
– name: 56 MTA‐PE Evolutionary Ecology Research Group University of Pannonia Veszprém Hungary
– name: 12 Cognitive and Cultural Ecology Research Group Max Planck Institute of Animal Behavior Radolfzell Germany
– name: 38 Evolution & Ecology Research Centre and School of Biological, Earth and Environmental Sciences University of New South Wales Sydney Australia
– name: 59 Department of Biodiversity Conservation and Ecosystem Restoration Pyrenean Institute of Ecology (CSIC) Jaca Spain
– name: 4 RSPB Centre for Conservation Science The Lodge Sandy UK
– name: 10 Centre for Biodiversity Dynamics Department of Biology Norwegian University of Science and Technology Trondheim Norway
– name: 61 Department de Ecología Evolutiva Museo Nacional de Ciencias Naturales (CSIC) Madrid Spain
– name: 73 Ecological Genetics Research Unit, Organismal and Evolutionary Biology Research Programme Faculty of Biological & Environmental Sciences University of Helsinki Helsinki Finland
– name: 5 Centre for Research in Animal Behaviour University of Exeter Exeter UK
– name: 24 Department of Animal & Plant Sciences University of Sheffield Sheffield UK
– name: 51 Ornithological Station, Museum and Institute of Zoology Polish Academy of Sciences Gdańsk Poland
– name: 69 Department of Life Sciences Imperial College London Ascot UK
– name: 22 Institute of Avian Research Wilhelmshaven Germany
– name: 19 Biodiversity and Conservation Lab Department of Biology METU Ankara Turkey
– name: 37 Institute of Environmental Sciences Jagiellonian University Krakow Poland
– name: 74 Yamashina Institute for Ornithology Abiko Japan
– name: 32 Evolutionary Physiology Group Max Planck Institute for Ornithology Seewiesen Germany
– name: 20 Université de Strasbourg CNRS IPHC UMR 7178 Strasbourg France
– name: 54 Department of Zoology University of Otago Dunedin New Zealand
– name: 21 Groningen Institute for Evolutionary Life Sciences University of Groningen Groningen
– name: 50 Zvenigorod Biological Station Faculty of Biology Lomonosov Moscow State University Moscow Russia
– name: 58 Division of Biological Sciences University of Montana Missoula USA
– name: 7 Edward Grey Institute Department of Zoology University of Oxford Oxford UK
– name: 44 Department of Wetland Ecology Estación Biológica de Doñana (CSIC) Sevilla Spain
– name: 17 Institute of Ornithology Croatian Academy of Sciences and Arts Zagreb Croatia
– name: 57 Department of Zoology Institute of Ecology and Earth Sciences University of Tartu Tartu Estonia
– name: 1 Department of Animal Ecology Netherlands Institute of Ecology (NIOO‐KNAW) Wageningen The Netherlands
– name: 13 Centre for the Advanced Study of Collective Behaviour University of Konstanz Konstanz Germany
– name: 15 Institute of Biology of the Karelian Research Centre of the Russian Academy of Sciences Petrozavodsk Russia
– name: 65 School of Biological, Earth and Environmental Sciences University College Cork Cork Ireland
– name: 47 Behavioural Ecology Group Department of Systematic Zoology and Ecology ELTE Eötvös Loránd University Budapest Hungary
– name: 52 Department Behavioural Ecology & Evolutionary Genetics Max Planck Institute for Ornithology Seewiesen Germany
– name: 28 Department STEBICEF Università degli Studi di Palermo Palermo Italy
– name: 39 Museum and Institute of Zoology Polish Academy of Sciences Warsaw Poland
– name: 72 Centre of New Technologies University of Warsaw Warsaw Poland
– name: 3 Department of Evolutionary Genetics Leibniz Institute for Zoo and Wildlife Research Berlin Germany
– name: 33 Laboratory of Ornithology Cornell University Ithaca NY USA
– name: 71 Centre for Ecological and Evolutionary Synthesis (CEES) Department of Biosciences University of Oslo Oslo Norway
– name: 9 Kevo Subarctic Research Institute University of Turku Turku Finland
– name: 42 Department of Collective Behavior Max Planck Institute of Animal Behavior Konstanz Germany
– name: 55 Department of Nature Conservation Environmental Board Estonia
– name: 43 Department of Biology University of Konstanz Konstanz Germany
– name: 46 Lancaster Environment Centre Lancaster University Lancaster UK
Author_xml – sequence: 1
  givenname: Antica
  orcidid: 0000-0003-2910-8085
  surname: Culina
  fullname: Culina, Antica
  email: a.culina@yahoo.com, a.culina@nioo.knaw.nl
  organization: Netherlands Institute of Ecology (NIOO‐KNAW)
– sequence: 3
  givenname: Liam D.
  orcidid: 0000-0002-8226-9454
  surname: Bailey
  fullname: Bailey, Liam D.
  organization: Leibniz Institute for Zoo and Wildlife Research
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  givenname: Malcolm D.
  orcidid: 0000-0003-1288-1231
  surname: Burgess
  fullname: Burgess, Malcolm D.
  organization: University of Exeter
– sequence: 5
  givenname: Anne
  orcidid: 0000-0002-0691-2647
  surname: Charmantier
  fullname: Charmantier, Anne
  organization: University of Paul Valéry Montpellier 3
– sequence: 6
  givenname: Ella F.
  surname: Cole
  fullname: Cole, Ella F.
  organization: University of Oxford
– sequence: 7
  givenname: Tapio
  orcidid: 0000-0002-0395-1536
  surname: Eeva
  fullname: Eeva, Tapio
  organization: University of Turku
– sequence: 8
  givenname: Erik
  orcidid: 0000-0002-7521-9248
  surname: Matthysen
  fullname: Matthysen, Erik
  organization: University of Antwerp
– sequence: 9
  givenname: Chloé R.
  orcidid: 0000-0002-7975-0108
  surname: Nater
  fullname: Nater, Chloé R.
  organization: Norwegian University of Science and Technology
– sequence: 10
  givenname: Ben C.
  orcidid: 0000-0002-5240-7828
  surname: Sheldon
  fullname: Sheldon, Ben C.
  organization: University of Oxford
– sequence: 11
  givenname: Bernt‐Erik
  orcidid: 0000-0002-0049-9767
  surname: Sæther
  fullname: Sæther, Bernt‐Erik
  organization: Norwegian University of Science and Technology
– sequence: 12
  givenname: Stefan J. G.
  orcidid: 0000-0002-9006-5988
  surname: Vriend
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  fullname: Visser, Marcel E.
  organization: Netherlands Institute of Ecology (NIOO‐KNAW)
BackLink https://cir.nii.ac.jp/crid/1871146592810830208$$DView record in CiNii
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10.1098/rspb.2019.1332
ContentType Journal Article
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OpenMETU
Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE)
Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)
Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP)
Centre National de la Recherche Scientifique (CNRS)
Gaillard, Brigitte
University of Exeter
Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Insti
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Copyright 2020 The Authors. published by John Wiley & Sons Ltd on behalf of British Ecological Society
2020 The Authors. Journal of Animal Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society.
2020. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
licence_http://creativecommons.org/publicdomain/zero
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– notice: 2020 The Authors. Journal of Animal Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society.
– notice: 2020. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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CorporateAuthor Molecular Ecology and Evolution Lab
Djurens navigation
Forskargrupper vid Biologiska institutionen
Ekologisk och evolutionär fysiologi
Lunds universitet
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Profile areas and other strong research environments
BECC: Biodiversity and Ecosystem services in a Changing Climate
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Lund University
Ecological and Evolutionary Physiology
Animal Navigation Lab
Department of Biology
Molekylär ekologi och evolution
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– name: Lund University
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Keywords database
data standards
research network
meta-data standards
birds
FAIR data
long-term studies
Language English
License Attribution
2020 The Authors. Journal of Animal Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society.
licence_http://creativecommons.org/publicdomain/zero/: http://creativecommons.org/publicdomain/zero
This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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Notes Handling Editor
Roberto Salguero‐Gómez
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Funding informationThe SPI‐Birds have been supported by an NWO personal grant (grant number 016.Veni.181.054) to A.C., and a Research Council of Norway grant: 223257 (SFF‐III) and 267511 (EVOCLIM).
Handling Editor Roberto Salguero‐Gómez
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SubjectTerms 05 Environmental Sciences
06 Biological Sciences
07 Agricultural and Veterinary Sciences
15.- Proteger, restaurar y promover la utilización sostenible de los ecosistemas terrestres, gestionar de manera sostenible los bosques, combatir la desertificación y detener y revertir la degradación de la tierra, y frenar la pérdida de diversidad biológica
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animal ecology
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Birds
birds ; data standards ; database ; FAIR data ; long-term studies ; meta-data standards ; research network
Chemistry
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CLUTCH-SIZE
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community service
Data integration
Data integrity
Data loss
Data management
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database ; meta-data standards ; long-term studies ; birds ; data standards ; FAIR data ; research network
Databases, Factual
ddc:570
Demography
Ecological studies
Ecology
Ecology (including Biodiversity Conservation)
Ecology, Evolution, Behavior and Systematics
Ecology, evolutionary biology
Ekologi
Environmental Sciences
Environmental Sciences & Ecology
EVOLUTION
factual
FAIR data
Format
geographical distribution
GREAT TITS
information management
Integration
international
landscapes
Life Sciences & Biomedicine
long
long&#8208
Long-term studies
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MESH: birds
MESH: databases
MESH: databases, factual
MESH: metadata
meta
meta&#8208
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Metadata
Natural Sciences
Naturvetenskap
PERSONALITY
Plan_S-Compliant_OA
Population studies
POPULATIONS
Research network
RESPONSES
Science & Technology
SELECTION
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term studies
Uniqueness
VDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480
VDP::Mathematics and natural scienses: 400::Zoology and botany: 480
VDP::Zoologiske og botaniske fag: 480
VDP::Zoology and botany: 480
Zoologi
ZOOLOGIA
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Zoology
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Title Connecting the data landscape of long‐term ecological studies: The SPI‐Birds data hub
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Volume 90
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