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dc.contributor.authorCulina, Antica
dc.contributor.authorAdriaensen, Frank
dc.contributor.authorBailey, Liam D.
dc.contributor.authorBurgess, Malcolm
dc.contributor.authorCharmantier, Anne
dc.contributor.authorCole, Ella F
dc.contributor.authorEeva, Tapio
dc.contributor.authorMatthysen, Erik
dc.contributor.authorNater, Chloe Rebecca
dc.contributor.authorSheldon, Ben C.
dc.contributor.authorSæther, Bernt-Erik
dc.contributor.authorVriend, Stefan J.G.
dc.contributor.authorZajkova, Zuzana
dc.contributor.authorAdamik, Peter
dc.contributor.authorAplin, Lucy M.
dc.contributor.authorAngulo, Elena
dc.contributor.authorArtemyev, Alexandr
dc.contributor.authorBarba, Emilio
dc.contributor.authorBarišić, Sanja
dc.contributor.authorBelda, Eduardo
dc.contributor.authorBilgin, Cemal Can
dc.contributor.authorBleu, Josefa
dc.contributor.authorBoth, Christiaan
dc.contributor.authorBouwhuis, Sandra
dc.contributor.authorBranston, Claire J.
dc.contributor.authorBroggi, Juli
dc.contributor.authorBurke, Terry
dc.contributor.authorBushuev, Andrey
dc.contributor.authorCamacho, Carlos
dc.contributor.authorCampobello, Daniela
dc.contributor.authorCanal, David
dc.contributor.authorCantarero, Alejandro
dc.contributor.authorCaro, Samuel P.
dc.contributor.authorChaine, Alexis
dc.contributor.authorCauchoix, Maxime
dc.contributor.authorCichoń, Mariusz
dc.contributor.authorĆiković, Davor
dc.contributor.authorCusimano, Camillo A.
dc.contributor.authorDeimel, Caroline
dc.contributor.authorDhondt, André A.
dc.contributor.authorDingemanse, Niels J.
dc.contributor.authorDoligez, Blandine
dc.contributor.authorDoutrelant, Claire
dc.contributor.authorDrobniak, Szymon M.
dc.contributor.authorDubiec, Anna
dc.contributor.authorEens, Marcel
dc.contributor.authorErikstad, Kjell E
dc.contributor.authorEspín, Silvia
dc.contributor.authorFarine, Damien R.
dc.contributor.authorMennerat, Adele
dc.date.accessioned2020-12-15T12:47:38Z
dc.date.available2020-12-15T12:47:38Z
dc.date.issued2020-11-17
dc.description.abstract<ol> <li>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). </li><p> <p><li>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. </li><p> <p><li>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).</li><p> <p><li>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.</li> </ol>en_US
dc.identifier.citationCulina, A., Adriaensen, F., Bailey, L.D., Burgess, M.D., Charmantier, A., Cole, E.F. ... Török, J. (2020). Connecting the data landscape of long‐term ecological studies: The SPI‐Birds data hub. <i>Journal of Animal Ecology.</i>en_US
dc.identifier.cristinIDFRIDAID 1858014
dc.identifier.doi10.1111/1365-2656.13388
dc.identifier.issn0021-8790
dc.identifier.issn1365-2656
dc.identifier.urihttps://hdl.handle.net/10037/20057
dc.language.isoengen_US
dc.publisherWileyen_US
dc.relation.journalJournal of Animal Ecology
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/KLIMAFORSK/267511/Norway/EVOLUTION IN A CHANGING CLIMATE/EVOCLIM/en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/SFF/223257/Norway/Centre for Biodiversity Dynamics/CBD/en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2020 The Author(s)en_US
dc.subjectVDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480en_US
dc.subjectVDP::Mathematics and natural scienses: 400::Zoology and botany: 480en_US
dc.titleConnecting the data landscape of long‐term ecological studies: The SPI‐Birds data huben_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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