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

Antica Culina; Frank Adriaensen; Liam D. Bailey; Malcolm D. Burgess; Anne Charmantier; Ella F. Cole; Tapio Eeva; Erik Matthysen; Chloé R. Nater; Ben C. Sheldon; Bernt Erik Sæther; Stefan J.G. Vriend; Zuzana Zajkova; Peter Adamík; Lucy M. Aplin; Elena Angulo; Alexandr Artemyev; Emilio Barba; Sanja Barišić; Eduardo Belda; Cemal Can Bilgin; Josefa Bleu; Christiaan Both; Sandra Bouwhuis; Claire J. Branston; Juli Broggi; Terry Burke; Andrey Bushuev; Carlos Camacho; Daniela Campobello; David Canal; Alejandro Cantarero; Samuel P. Caro; Maxime Cauchoix; Alexis Chaine; Mariusz Cichoń; Davor Ćiković; Camillo A. Cusimano; Caroline Deimel; André A. Dhondt; Niels J. Dingemanse; Blandine Doligez; Davide M. Dominoni; Claire Doutrelant; Szymon M. Drobniak; Anna Dubiec; Marcel Eens; Kjell Einar Erikstad; Silvia Espín; Damien R. Farine; Jordi Figuerola; Pınar Kavak Gülbeyaz; Arnaud Grégoire; Ian R. Hartley; Michaela Hau; Gergely Hegyi; Sabine Hille; Camilla A. Hinde; Benedikt Holtmann; Tatyana Ilyina; Caroline Isaksson; Arne Iserbyt; Elena Ivankina; Wojciech Kania; Bart Kempenaers; Anvar Kerimov; Jan Komdeur; Peter Korsten; Miroslav Král; Miloš Krist; Marcel Lambrechts; Carlos E. Lara; Agu Leivits; András Liker; Jaanis Lodjak; Marko Mägi; Mark C. Mainwaring; Raivo Mänd; Bruno Massa; Sylvie Massemin; Jesús Martínez-Padilla; Tomasz D. Mazgajski; Adèle Mennerat; Juan Moreno; Alexia Mouchet; Shinichi Nakagawa; Jan Åke Nilsson; Johan F. Nilsson; Ana Cláudia Norte; Kees van Oers; Markku Orell; Jaime Potti; John L. Quinn; Denis Réale; Tone Kristin Reiertsen; Balázs Rosivall; Andrew F. Russell; Seppo Rytkönen; Pablo Sánchez-Virosta; Eduardo S.A. Santos; Julia Schroeder; Juan Carlos Senar; Gábor Seress; Tore Slagsvold; Marta Szulkin; Céline Teplitsky; Vallo Tilgar; Andrey Tolstoguzov; János Török; Mihai Valcu; Emma Vatka; Simon Verhulst; Hannah Watson; Teru Yuta; José M. Zamora-Marín; Marcel E. Visser

doi:10.1111/1365-2656.13388

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

Antica Culina^* (Corresponding author), Frank Adriaensen, Liam D. Bailey, Malcolm D. Burgess, Anne Charmantier, Ella F. Cole, Tapio Eeva, Erik Matthysen, Chloé R. Nater, Ben C. Sheldon, Bernt Erik Sæther, Stefan J.G. Vriend, Zuzana Zajkova, Peter Adamík, Lucy M. Aplin, Elena Angulo, Alexandr Artemyev, Emilio Barba, Sanja Barišić, Eduardo BeldaCemal Can Bilgin, Josefa Bleu, Christiaan Both, Sandra Bouwhuis, Claire J. Branston, Juli Broggi, Terry Burke, Andrey Bushuev, Carlos Camacho, Daniela Campobello, David Canal, Alejandro Cantarero, Samuel P. Caro, Maxime Cauchoix, Alexis Chaine, Mariusz Cichoń, Davor Ćiković, Camillo A. Cusimano, Caroline Deimel, André A. Dhondt, Niels J. Dingemanse, Blandine Doligez, Davide M. Dominoni, Claire Doutrelant, Szymon M. Drobniak, Anna Dubiec, Marcel Eens, Kjell Einar Erikstad, Silvia Espín, Damien R. Farine, Jordi Figuerola, Pınar Kavak Gülbeyaz, Arnaud Grégoire, Ian R. Hartley, Michaela Hau, Gergely Hegyi, Sabine Hille, Camilla A. Hinde, Benedikt Holtmann, Tatyana Ilyina, Caroline Isaksson, Arne Iserbyt, Elena Ivankina, Wojciech Kania, Bart Kempenaers, Anvar Kerimov, Jan Komdeur, Peter Korsten, Miroslav Král, Miloš Krist, Marcel Lambrechts, Carlos E. Lara, Agu Leivits, András Liker, Jaanis Lodjak, Marko Mägi, Mark C. Mainwaring, Raivo Mänd, Bruno Massa, Sylvie Massemin, Jesús Martínez-Padilla, Tomasz D. Mazgajski, Adèle Mennerat, Juan Moreno, Alexia Mouchet, Shinichi Nakagawa, Jan Åke Nilsson, Johan F. Nilsson, Ana Cláudia Norte, Kees van Oers, Markku Orell, Jaime Potti, John L. Quinn, Denis Réale, Tone Kristin Reiertsen, Balázs Rosivall, Andrew F. Russell, Seppo Rytkönen, Pablo Sánchez-Virosta, Eduardo S.A. Santos, Julia Schroeder, Juan Carlos Senar, Gábor Seress, Tore Slagsvold, Marta Szulkin, Céline Teplitsky, Vallo Tilgar, Andrey Tolstoguzov, János Török, Mihai Valcu, Emma Vatka, Simon Verhulst, Hannah Watson, Teru Yuta, José M. Zamora-Marín, Marcel E. Visser

^*Corresponding author for this work

NIOO - Animal Ecology (AnE)

Research output: Contribution to journal/periodical › Article › Scientific › peer-review

30 Citations (Scopus)

177 Downloads (Pure)

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.

Original language	English
Pages (from-to)	2147-2160
Number of pages	14
Journal	Journal of Animal Ecology
Volume	90
Issue number	9
Early online date	2020
DOIs	https://doi.org/10.1111/1365-2656.13388
Publication status	Published - 2021

Keywords

birds
data standards
database
FAIR data
long-term studies
meta-data standards
research network
international
Plan_S-Compliant_OA
Metadata
Birds
Animals
Databases, Factual

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10.1111/1365-2656.13388

7117_Culina_VORE-pub ahead of print/First online, 2.4 MBLicence: CC BY
7117_CulinaFinal published version, 2.35 MBLicence: CC BY

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Culina, A., Adriaensen, F., Bailey, L. D., Burgess, M. D., Charmantier, A., Cole, E. F., Eeva, T., Matthysen, E., Nater, C. R., Sheldon, B. C., Sæther, B. E., Vriend, S. J. G., Zajkova, Z., Adamík, P., Aplin, L. M., Angulo, E., Artemyev, A., Barba, E., Barišić, S., ... Visser, M. E. (2021). Connecting the data landscape of long-term ecological studies: The SPI-Birds data hub. Journal of Animal Ecology, 90(9), 2147-2160. https://doi.org/10.1111/1365-2656.13388

@article{8e27052dddeb4d89a95858e1e3ab1fd7,

title = "Connecting the data landscape of long-term ecological studies: The SPI-Birds data hub",

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.",

keywords = "birds, data standards, database, FAIR data, long-term studies, meta-data standards, research network, international, Plan_S-Compliant_OA, Metadata, Birds, Animals, Databases, Factual",

author = "Antica Culina and Frank Adriaensen and Bailey, {Liam D.} and Burgess, {Malcolm D.} and Anne Charmantier and Cole, {Ella F.} and Tapio Eeva and Erik Matthysen and Nater, {Chlo{\'e} R.} and Sheldon, {Ben C.} and S{\ae}ther, {Bernt Erik} and Vriend, {Stefan J.G.} and Zuzana Zajkova and Peter Adam{\'i}k and Aplin, {Lucy M.} and Elena Angulo and Alexandr Artemyev and Emilio Barba and Sanja Bari{\v s}i{\'c} and Eduardo Belda and Bilgin, {Cemal Can} and Josefa Bleu and Christiaan Both and Sandra Bouwhuis and Branston, {Claire J.} and Juli Broggi and Terry Burke and Andrey Bushuev and Carlos Camacho and Daniela Campobello and David Canal and Alejandro Cantarero and Caro, {Samuel P.} and Maxime Cauchoix and Alexis Chaine and Mariusz Cicho{\'n} and Davor {\'C}ikovi{\'c} and Cusimano, {Camillo A.} and Caroline Deimel and Dhondt, {Andr{\'e} A.} and Dingemanse, {Niels J.} and Blandine Doligez and Dominoni, {Davide M.} and Claire Doutrelant and Drobniak, {Szymon M.} and Anna Dubiec and Marcel Eens and {Einar Erikstad}, Kjell and Silvia Esp{\'i}n and Farine, {Damien R.} and Jordi Figuerola and {Kavak G{\"u}lbeyaz}, Pınar and Arnaud Gr{\'e}goire and Hartley, {Ian R.} and Michaela Hau and Gergely Hegyi and Sabine Hille and Hinde, {Camilla A.} and Benedikt Holtmann and Tatyana Ilyina and Caroline Isaksson and Arne Iserbyt and Elena Ivankina and Wojciech Kania and Bart Kempenaers and Anvar Kerimov and Jan Komdeur and Peter Korsten and Miroslav Kr{\'a}l and Milo{\v s} Krist and Marcel Lambrechts and Lara, {Carlos E.} and Agu Leivits and Andr{\'a}s Liker and Jaanis Lodjak and Marko M{\"a}gi and Mainwaring, {Mark C.} and Raivo M{\"a}nd and Bruno Massa and Sylvie Massemin and Jes{\'u}s Mart{\'i}nez-Padilla and Mazgajski, {Tomasz D.} and Ad{\`e}le Mennerat and Juan Moreno and Alexia Mouchet and Shinichi Nakagawa and Nilsson, {Jan {\AA}ke} and Nilsson, {Johan F.} and {Cl{\'a}udia Norte}, Ana and {van Oers}, Kees and Markku Orell and Jaime Potti and Quinn, {John L.} and Denis R{\'e}ale and {Kristin Reiertsen}, Tone and Bal{\'a}zs Rosivall and Russell, {Andrew F.} and Seppo Rytk{\"o}nen and Pablo S{\'a}nchez-Virosta and Santos, {Eduardo S.A.} and Julia Schroeder and Senar, {Juan Carlos} and G{\'a}bor Seress and Tore Slagsvold and Marta Szulkin and C{\'e}line Teplitsky and Vallo Tilgar and Andrey Tolstoguzov and J{\'a}nos T{\"o}r{\"o}k and Mihai Valcu and Emma Vatka and Simon Verhulst and Hannah Watson and Teru Yuta and Zamora-Mar{\'i}n, {Jos{\'e} M.} and Visser, {Marcel E.}",

note = "7117, AnE; Data archiving: dryad",

year = "2021",

doi = "10.1111/1365-2656.13388",

language = "English",

volume = "90",

pages = "2147--2160",

journal = "Journal of Animal Ecology",

issn = "0021-8790",

publisher = "John Wiley and Sons Ltd",

number = "9",

}

Culina, A, Adriaensen, F, Bailey, LD, Burgess, MD, Charmantier, A, Cole, EF, Eeva, T, Matthysen, E, Nater, CR, Sheldon, BC, Sæther, BE, Vriend, SJG, Zajkova, Z, Adamík, P, Aplin, LM, Angulo, E, Artemyev, A, Barba, E, Barišić, S, Belda, E, Bilgin, CC, Bleu, J, Both, C, Bouwhuis, S, Branston, CJ, Broggi, J, Burke, T, Bushuev, A, Camacho, C, Campobello, D, Canal, D, Cantarero, A, Caro, SP, Cauchoix, M, Chaine, A, Cichoń, M, Ćiković, D, Cusimano, CA, Deimel, C, Dhondt, AA, Dingemanse, NJ, Doligez, B, Dominoni, DM, Doutrelant, C, Drobniak, SM, Dubiec, A, Eens, M, Einar Erikstad, K, Espín, S, Farine, DR, Figuerola, J, Kavak Gülbeyaz, P, Grégoire, A, Hartley, IR, Hau, M, Hegyi, G, Hille, S, Hinde, CA, Holtmann, B, Ilyina, T, Isaksson, C, Iserbyt, A, Ivankina, E, Kania, W, Kempenaers, B, Kerimov, A, Komdeur, J, Korsten, P, Král, M, Krist, M, Lambrechts, M, Lara, CE, Leivits, A, Liker, A, Lodjak, J, Mägi, M, Mainwaring, MC, Mänd, R, Massa, B, Massemin, S, Martínez-Padilla, J, Mazgajski, TD, Mennerat, A, Moreno, J, Mouchet, A, Nakagawa, S, Nilsson, JÅ, Nilsson, JF, Cláudia Norte, A, van Oers, K, Orell, M, Potti, J, Quinn, JL, Réale, D, Kristin Reiertsen, T, Rosivall, B, Russell, AF, Rytkönen, S, Sánchez-Virosta, P, Santos, ESA, Schroeder, J, Senar, JC, Seress, G, Slagsvold, T, Szulkin, M, Teplitsky, C, Tilgar, V, Tolstoguzov, A, Török, J, Valcu, M, Vatka, E, Verhulst, S, Watson, H, Yuta, T, Zamora-Marín, JM & Visser, ME 2021, 'Connecting the data landscape of long-term ecological studies: The SPI-Birds data hub', Journal of Animal Ecology, vol. 90, no. 9, pp. 2147-2160. https://doi.org/10.1111/1365-2656.13388

TY - JOUR

T1 - Connecting the data landscape of long-term ecological studies

T2 - The SPI-Birds data hub

AU - Culina, Antica

AU - Adriaensen, Frank

AU - Bailey, Liam D.

AU - Burgess, Malcolm D.

AU - Charmantier, Anne

AU - Cole, Ella F.

AU - Eeva, Tapio

AU - Matthysen, Erik

AU - Nater, Chloé R.

AU - Sheldon, Ben C.

AU - Sæther, Bernt Erik

AU - Vriend, Stefan J.G.

AU - Zajkova, Zuzana

AU - Adamík, Peter

AU - Aplin, Lucy M.

AU - Angulo, Elena

AU - Artemyev, Alexandr

AU - Barba, Emilio

AU - Barišić, Sanja

AU - Belda, Eduardo

AU - Bilgin, Cemal Can

AU - Bleu, Josefa

AU - Both, Christiaan

AU - Bouwhuis, Sandra

AU - Branston, Claire J.

AU - Broggi, Juli

AU - Burke, Terry

AU - Bushuev, Andrey

AU - Camacho, Carlos

AU - Campobello, Daniela

AU - Canal, David

AU - Cantarero, Alejandro

AU - Caro, Samuel P.

AU - Cauchoix, Maxime

AU - Chaine, Alexis

AU - Cichoń, Mariusz

AU - Ćiković, Davor

AU - Cusimano, Camillo A.

AU - Deimel, Caroline

AU - Dhondt, André A.

AU - Dingemanse, Niels J.

AU - Doligez, Blandine

AU - Dominoni, Davide M.

AU - Doutrelant, Claire

AU - Drobniak, Szymon M.

AU - Dubiec, Anna

AU - Eens, Marcel

AU - Einar Erikstad, Kjell

AU - Espín, Silvia

AU - Farine, Damien R.

AU - Figuerola, Jordi

AU - Kavak Gülbeyaz, Pınar

AU - Grégoire, Arnaud

AU - Hartley, Ian R.

AU - Hau, Michaela

AU - Hegyi, Gergely

AU - Hille, Sabine

AU - Hinde, Camilla A.

AU - Holtmann, Benedikt

AU - Ilyina, Tatyana

AU - Isaksson, Caroline

AU - Iserbyt, Arne

AU - Ivankina, Elena

AU - Kania, Wojciech

AU - Kempenaers, Bart

AU - Kerimov, Anvar

AU - Komdeur, Jan

AU - Korsten, Peter

AU - Král, Miroslav

AU - Krist, Miloš

AU - Lambrechts, Marcel

AU - Lara, Carlos E.

AU - Leivits, Agu

AU - Liker, András

AU - Lodjak, Jaanis

AU - Mägi, Marko

AU - Mainwaring, Mark C.

AU - Mänd, Raivo

AU - Massa, Bruno

AU - Massemin, Sylvie

AU - Martínez-Padilla, Jesús

AU - Mazgajski, Tomasz D.

AU - Mennerat, Adèle

AU - Moreno, Juan

AU - Mouchet, Alexia

AU - Nakagawa, Shinichi

AU - Nilsson, Jan Åke

AU - Nilsson, Johan F.

AU - Cláudia Norte, Ana

AU - van Oers, Kees

AU - Orell, Markku

AU - Potti, Jaime

AU - Quinn, John L.

AU - Réale, Denis

AU - Kristin Reiertsen, Tone

AU - Rosivall, Balázs

AU - Russell, Andrew F.

AU - Rytkönen, Seppo

AU - Sánchez-Virosta, Pablo

AU - Santos, Eduardo S.A.

AU - Schroeder, Julia

AU - Senar, Juan Carlos

AU - Seress, Gábor

AU - Slagsvold, Tore

AU - Szulkin, Marta

AU - Teplitsky, Céline

AU - Tilgar, Vallo

AU - Tolstoguzov, Andrey

AU - Török, János

AU - Valcu, Mihai

AU - Vatka, Emma

AU - Verhulst, Simon

AU - Watson, Hannah

AU - Yuta, Teru

AU - Zamora-Marín, José M.

AU - Visser, Marcel E.

N1 - 7117, AnE; Data archiving: dryad

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - birds

KW - data standards

KW - database

KW - FAIR data

KW - long-term studies

KW - meta-data standards

KW - research network

KW - international

KW - Plan_S-Compliant_OA

KW - Metadata

KW - Birds

KW - Animals

KW - Databases, Factual

UR - https://doi.org/10.5061/dryad.51c59zw6r

U2 - 10.1111/1365-2656.13388

DO - 10.1111/1365-2656.13388

M3 - Article

C2 - 33205462

AN - SCOPUS:85097017566

SN - 0021-8790

VL - 90

SP - 2147

EP - 2160

JO - Journal of Animal Ecology

JF - Journal of Animal Ecology

IS - 9

ER -

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

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

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