A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base
- Autores
- Feng, Xiao; Enquist, Brian J.; Park, Daniel S.; Boyle, Brad; Breshears, David D.; Gallagher, Rachael V.; Lien, Aaron; Newman, Erica A.; Burger, Joseph R.; Maitner, Brian S.; Merow, Cory; Li, Yaoqi; Huynh, Kimberly M.; Ernst, Kacey; Baldwin, Elizabeth; Foden, Wendy; Hannah, Lee; Jørgensen, Peter M.; Kraft, Nathan J. B.; Lovett, Jon C.; Marquet, Pablo A.; McGill, Brian J.; Morueta-Holme, Naia; Neves, Danilo M.; Núñez Regueiro, Mauricio Manuel; Oliveira-Filho, Ary T.; Peet, Robert K.; Pillet, Michiel; Roehrdanz, Patrick R.; Sandel, Brody; Serra-Diaz, Josep M.; Símová, Irena; Svenning, Jens Christian; Cuenin, Cyrille; Weitemier, Trang D.; Wiser, Susan; López-Hoffman, Laura
- Año de publicación
- 2022
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Aim: Addressing global environmental challenges requires access to biodiversity data across wide spatial, temporal and taxonomic scales. Availability of such data has increased exponentially recently with the proliferation of biodiversity databases. However, heterogeneous coverage, protocols, and standards have hampered integration among these databases. To stimulate the next stage of data integration, here we present a synthesis of major databases, and investigate (a) how the coverage of databases varies across taxonomy, space, and record type; (b) what degree of integration is present among databases; (c) how integration of databases can increase biodiversity knowledge; and (d) the barriers to database integration. Location: Global. Time period: Contemporary. Major taxa studied: Plants and vertebrates. Methods: We reviewed 12 established biodiversity databases that mainly focus on geographic distributions and functional traits at global scale. We synthesized information from these databases to assess the status of their integration and major knowledge gaps and barriers to full integration. We estimated how improved integration can increase the data coverage for terrestrial plants and vertebrates. Results: Every database reviewed had a unique focus of data coverage. Exchanges of biodiversity information were common among databases, although not always clearly documented. Functional trait databases were more isolated than those pertaining to species distributions. Variation and potential incompatibility of taxonomic systems used by different databases posed a major barrier to data integration. We found that integration of distribution databases could lead to increased taxonomic coverage that corresponds to 23 years’ advancement in data accumulation, and improvement in taxonomic coverage could be as high as 22.4% for trait databases. Main conclusions: Rapid increases in biodiversity knowledge can be achieved through the integration of databases, providing the data necessary to address critical environmental challenges. Full integration across databases will require tackling the major impediments to data integration: taxonomic incompatibility, lags in data exchange, barriers to effective data synchronization, and isolation of individual initiatives.
Fil: Feng, Xiao. Florida State University; Estados Unidos
Fil: Enquist, Brian J.. University of Arizona; Estados Unidos
Fil: Park, Daniel S.. Purdue University; Estados Unidos
Fil: Boyle, Brad. University of Arizona; Estados Unidos
Fil: Breshears, David D.. University of Arizona; Estados Unidos
Fil: Gallagher, Rachael V.. University of Western Australia; Australia
Fil: Lien, Aaron. University of Arizona; Estados Unidos
Fil: Newman, Erica A.. University of Arizona; Estados Unidos
Fil: Burger, Joseph R.. University of Kentucky; Estados Unidos
Fil: Maitner, Brian S.. University of Connecticut; Estados Unidos
Fil: Merow, Cory. University of Connecticut; Estados Unidos
Fil: Li, Yaoqi. Xi’an Jiaotong-Liverpool University. Department of Health and Environmental Sciences; China
Fil: Huynh, Kimberly M.. University of Arizona; Estados Unidos
Fil: Ernst, Kacey. University of Arizona; Estados Unidos
Fil: Baldwin, Elizabeth. University of Arizona; Estados Unidos
Fil: Foden, Wendy. STELLENBOSCH UNIVERSITY (SUN);
Fil: Hannah, Lee. No especifíca;
Fil: Jørgensen, Peter M.. Missouri Botanical Garden; Estados Unidos
Fil: Kraft, Nathan J. B.. University of California at Los Angeles; Estados Unidos
Fil: Lovett, Jon C.. University of Leeds; Reino Unido
Fil: Marquet, Pablo A.. Pontificia Universidad Católica de Chile; Chile
Fil: McGill, Brian J.. University of Maine; Estados Unidos
Fil: Morueta-Holme, Naia. Universidad de Copenhagen; Dinamarca
Fil: Neves, Danilo M.. Universidade Federal de Minas Gerais; Brasil
Fil: Núñez Regueiro, Mauricio Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Bio y Geociencias del NOA. Universidad Nacional de Salta. Facultad de Ciencias Naturales. Museo de Ciencias Naturales. Instituto de Bio y Geociencias del NOA; Argentina
Fil: Oliveira-Filho, Ary T.. Universidade Federal de Minas Gerais; Brasil
Fil: Peet, Robert K.. University of North Carolina; Estados Unidos
Fil: Pillet, Michiel. University of Arizona; Estados Unidos
Fil: Roehrdanz, Patrick R.. No especifíca;
Fil: Sandel, Brody. Santa Clara University. Department of Biology; Estados Unidos
Fil: Serra-Diaz, Josep M.. University Aarhus; Dinamarca
Fil: Símová, Irena. CZECH ACADEMY OF SCIENCES (AVCR);
Fil: Svenning, Jens Christian. No especifíca;
Fil: Cuenin, Cyrille. No especifíca;
Fil: Weitemier, Trang D.. Arizona State University; Estados Unidos
Fil: Wiser, Susan. No especifíca;
Fil: López-Hoffman, Laura. University of Arizona; Estados Unidos - Materia
-
BIG DATA
BIODIVERSITY INFORMATICS
BIOGEOGRAPHY
DATABASE INTEGRATION
FUNCTIONAL TRAIT
TAXONOMIC SYSTEM - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/205216
Ver los metadatos del registro completo
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A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge baseFeng, XiaoEnquist, Brian J.Park, Daniel S.Boyle, BradBreshears, David D.Gallagher, Rachael V.Lien, AaronNewman, Erica A.Burger, Joseph R.Maitner, Brian S.Merow, CoryLi, YaoqiHuynh, Kimberly M.Ernst, KaceyBaldwin, ElizabethFoden, WendyHannah, LeeJørgensen, Peter M.Kraft, Nathan J. B.Lovett, Jon C.Marquet, Pablo A.McGill, Brian J.Morueta-Holme, NaiaNeves, Danilo M.Núñez Regueiro, Mauricio ManuelOliveira-Filho, Ary T.Peet, Robert K.Pillet, MichielRoehrdanz, Patrick R.Sandel, BrodySerra-Diaz, Josep M.Símová, IrenaSvenning, Jens ChristianCuenin, CyrilleWeitemier, Trang D.Wiser, SusanLópez-Hoffman, LauraBIG DATABIODIVERSITY INFORMATICSBIOGEOGRAPHYDATABASE INTEGRATIONFUNCTIONAL TRAITTAXONOMIC SYSTEMhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Aim: Addressing global environmental challenges requires access to biodiversity data across wide spatial, temporal and taxonomic scales. Availability of such data has increased exponentially recently with the proliferation of biodiversity databases. However, heterogeneous coverage, protocols, and standards have hampered integration among these databases. To stimulate the next stage of data integration, here we present a synthesis of major databases, and investigate (a) how the coverage of databases varies across taxonomy, space, and record type; (b) what degree of integration is present among databases; (c) how integration of databases can increase biodiversity knowledge; and (d) the barriers to database integration. Location: Global. Time period: Contemporary. Major taxa studied: Plants and vertebrates. Methods: We reviewed 12 established biodiversity databases that mainly focus on geographic distributions and functional traits at global scale. We synthesized information from these databases to assess the status of their integration and major knowledge gaps and barriers to full integration. We estimated how improved integration can increase the data coverage for terrestrial plants and vertebrates. Results: Every database reviewed had a unique focus of data coverage. Exchanges of biodiversity information were common among databases, although not always clearly documented. Functional trait databases were more isolated than those pertaining to species distributions. Variation and potential incompatibility of taxonomic systems used by different databases posed a major barrier to data integration. We found that integration of distribution databases could lead to increased taxonomic coverage that corresponds to 23 years’ advancement in data accumulation, and improvement in taxonomic coverage could be as high as 22.4% for trait databases. Main conclusions: Rapid increases in biodiversity knowledge can be achieved through the integration of databases, providing the data necessary to address critical environmental challenges. Full integration across databases will require tackling the major impediments to data integration: taxonomic incompatibility, lags in data exchange, barriers to effective data synchronization, and isolation of individual initiatives.Fil: Feng, Xiao. Florida State University; Estados UnidosFil: Enquist, Brian J.. University of Arizona; Estados UnidosFil: Park, Daniel S.. Purdue University; Estados UnidosFil: Boyle, Brad. University of Arizona; Estados UnidosFil: Breshears, David D.. University of Arizona; Estados UnidosFil: Gallagher, Rachael V.. University of Western Australia; AustraliaFil: Lien, Aaron. University of Arizona; Estados UnidosFil: Newman, Erica A.. University of Arizona; Estados UnidosFil: Burger, Joseph R.. University of Kentucky; Estados UnidosFil: Maitner, Brian S.. University of Connecticut; Estados UnidosFil: Merow, Cory. University of Connecticut; Estados UnidosFil: Li, Yaoqi. Xi’an Jiaotong-Liverpool University. Department of Health and Environmental Sciences; ChinaFil: Huynh, Kimberly M.. University of Arizona; Estados UnidosFil: Ernst, Kacey. University of Arizona; Estados UnidosFil: Baldwin, Elizabeth. University of Arizona; Estados UnidosFil: Foden, Wendy. STELLENBOSCH UNIVERSITY (SUN);Fil: Hannah, Lee. No especifíca;Fil: Jørgensen, Peter M.. Missouri Botanical Garden; Estados UnidosFil: Kraft, Nathan J. B.. University of California at Los Angeles; Estados UnidosFil: Lovett, Jon C.. University of Leeds; Reino UnidoFil: Marquet, Pablo A.. Pontificia Universidad Católica de Chile; ChileFil: McGill, Brian J.. University of Maine; Estados UnidosFil: Morueta-Holme, Naia. Universidad de Copenhagen; DinamarcaFil: Neves, Danilo M.. Universidade Federal de Minas Gerais; BrasilFil: Núñez Regueiro, Mauricio Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Bio y Geociencias del NOA. Universidad Nacional de Salta. Facultad de Ciencias Naturales. Museo de Ciencias Naturales. Instituto de Bio y Geociencias del NOA; ArgentinaFil: Oliveira-Filho, Ary T.. Universidade Federal de Minas Gerais; BrasilFil: Peet, Robert K.. University of North Carolina; Estados UnidosFil: Pillet, Michiel. University of Arizona; Estados UnidosFil: Roehrdanz, Patrick R.. No especifíca;Fil: Sandel, Brody. Santa Clara University. Department of Biology; Estados UnidosFil: Serra-Diaz, Josep M.. University Aarhus; DinamarcaFil: Símová, Irena. CZECH ACADEMY OF SCIENCES (AVCR);Fil: Svenning, Jens Christian. No especifíca;Fil: Cuenin, Cyrille. No especifíca;Fil: Weitemier, Trang D.. Arizona State University; Estados UnidosFil: Wiser, Susan. No especifíca;Fil: López-Hoffman, Laura. University of Arizona; Estados UnidosWiley Blackwell Publishing, Inc2022-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/205216Feng, Xiao; Enquist, Brian J.; Park, Daniel S.; Boyle, Brad; Breshears, David D.; et al.; A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base; Wiley Blackwell Publishing, Inc; Global Ecology and Biogeography; 31; 7; 4-2022; 1242-12601466-822XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1111/geb.13497info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:06:46Zoai:ri.conicet.gov.ar:11336/205216instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:06:46.969CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base |
title |
A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base |
spellingShingle |
A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base Feng, Xiao BIG DATA BIODIVERSITY INFORMATICS BIOGEOGRAPHY DATABASE INTEGRATION FUNCTIONAL TRAIT TAXONOMIC SYSTEM |
title_short |
A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base |
title_full |
A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base |
title_fullStr |
A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base |
title_full_unstemmed |
A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base |
title_sort |
A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base |
dc.creator.none.fl_str_mv |
Feng, Xiao Enquist, Brian J. Park, Daniel S. Boyle, Brad Breshears, David D. Gallagher, Rachael V. Lien, Aaron Newman, Erica A. Burger, Joseph R. Maitner, Brian S. Merow, Cory Li, Yaoqi Huynh, Kimberly M. Ernst, Kacey Baldwin, Elizabeth Foden, Wendy Hannah, Lee Jørgensen, Peter M. Kraft, Nathan J. B. Lovett, Jon C. Marquet, Pablo A. McGill, Brian J. Morueta-Holme, Naia Neves, Danilo M. Núñez Regueiro, Mauricio Manuel Oliveira-Filho, Ary T. Peet, Robert K. Pillet, Michiel Roehrdanz, Patrick R. Sandel, Brody Serra-Diaz, Josep M. Símová, Irena Svenning, Jens Christian Cuenin, Cyrille Weitemier, Trang D. Wiser, Susan López-Hoffman, Laura |
author |
Feng, Xiao |
author_facet |
Feng, Xiao Enquist, Brian J. Park, Daniel S. Boyle, Brad Breshears, David D. Gallagher, Rachael V. Lien, Aaron Newman, Erica A. Burger, Joseph R. Maitner, Brian S. Merow, Cory Li, Yaoqi Huynh, Kimberly M. Ernst, Kacey Baldwin, Elizabeth Foden, Wendy Hannah, Lee Jørgensen, Peter M. Kraft, Nathan J. B. Lovett, Jon C. Marquet, Pablo A. McGill, Brian J. Morueta-Holme, Naia Neves, Danilo M. Núñez Regueiro, Mauricio Manuel Oliveira-Filho, Ary T. Peet, Robert K. Pillet, Michiel Roehrdanz, Patrick R. Sandel, Brody Serra-Diaz, Josep M. Símová, Irena Svenning, Jens Christian Cuenin, Cyrille Weitemier, Trang D. Wiser, Susan López-Hoffman, Laura |
author_role |
author |
author2 |
Enquist, Brian J. Park, Daniel S. Boyle, Brad Breshears, David D. Gallagher, Rachael V. Lien, Aaron Newman, Erica A. Burger, Joseph R. Maitner, Brian S. Merow, Cory Li, Yaoqi Huynh, Kimberly M. Ernst, Kacey Baldwin, Elizabeth Foden, Wendy Hannah, Lee Jørgensen, Peter M. Kraft, Nathan J. B. Lovett, Jon C. Marquet, Pablo A. McGill, Brian J. Morueta-Holme, Naia Neves, Danilo M. Núñez Regueiro, Mauricio Manuel Oliveira-Filho, Ary T. Peet, Robert K. Pillet, Michiel Roehrdanz, Patrick R. Sandel, Brody Serra-Diaz, Josep M. Símová, Irena Svenning, Jens Christian Cuenin, Cyrille Weitemier, Trang D. Wiser, Susan López-Hoffman, Laura |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
BIG DATA BIODIVERSITY INFORMATICS BIOGEOGRAPHY DATABASE INTEGRATION FUNCTIONAL TRAIT TAXONOMIC SYSTEM |
topic |
BIG DATA BIODIVERSITY INFORMATICS BIOGEOGRAPHY DATABASE INTEGRATION FUNCTIONAL TRAIT TAXONOMIC SYSTEM |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Aim: Addressing global environmental challenges requires access to biodiversity data across wide spatial, temporal and taxonomic scales. Availability of such data has increased exponentially recently with the proliferation of biodiversity databases. However, heterogeneous coverage, protocols, and standards have hampered integration among these databases. To stimulate the next stage of data integration, here we present a synthesis of major databases, and investigate (a) how the coverage of databases varies across taxonomy, space, and record type; (b) what degree of integration is present among databases; (c) how integration of databases can increase biodiversity knowledge; and (d) the barriers to database integration. Location: Global. Time period: Contemporary. Major taxa studied: Plants and vertebrates. Methods: We reviewed 12 established biodiversity databases that mainly focus on geographic distributions and functional traits at global scale. We synthesized information from these databases to assess the status of their integration and major knowledge gaps and barriers to full integration. We estimated how improved integration can increase the data coverage for terrestrial plants and vertebrates. Results: Every database reviewed had a unique focus of data coverage. Exchanges of biodiversity information were common among databases, although not always clearly documented. Functional trait databases were more isolated than those pertaining to species distributions. Variation and potential incompatibility of taxonomic systems used by different databases posed a major barrier to data integration. We found that integration of distribution databases could lead to increased taxonomic coverage that corresponds to 23 years’ advancement in data accumulation, and improvement in taxonomic coverage could be as high as 22.4% for trait databases. Main conclusions: Rapid increases in biodiversity knowledge can be achieved through the integration of databases, providing the data necessary to address critical environmental challenges. Full integration across databases will require tackling the major impediments to data integration: taxonomic incompatibility, lags in data exchange, barriers to effective data synchronization, and isolation of individual initiatives. Fil: Feng, Xiao. Florida State University; Estados Unidos Fil: Enquist, Brian J.. University of Arizona; Estados Unidos Fil: Park, Daniel S.. Purdue University; Estados Unidos Fil: Boyle, Brad. University of Arizona; Estados Unidos Fil: Breshears, David D.. University of Arizona; Estados Unidos Fil: Gallagher, Rachael V.. University of Western Australia; Australia Fil: Lien, Aaron. University of Arizona; Estados Unidos Fil: Newman, Erica A.. University of Arizona; Estados Unidos Fil: Burger, Joseph R.. University of Kentucky; Estados Unidos Fil: Maitner, Brian S.. University of Connecticut; Estados Unidos Fil: Merow, Cory. University of Connecticut; Estados Unidos Fil: Li, Yaoqi. Xi’an Jiaotong-Liverpool University. Department of Health and Environmental Sciences; China Fil: Huynh, Kimberly M.. University of Arizona; Estados Unidos Fil: Ernst, Kacey. University of Arizona; Estados Unidos Fil: Baldwin, Elizabeth. University of Arizona; Estados Unidos Fil: Foden, Wendy. STELLENBOSCH UNIVERSITY (SUN); Fil: Hannah, Lee. No especifíca; Fil: Jørgensen, Peter M.. Missouri Botanical Garden; Estados Unidos Fil: Kraft, Nathan J. B.. University of California at Los Angeles; Estados Unidos Fil: Lovett, Jon C.. University of Leeds; Reino Unido Fil: Marquet, Pablo A.. Pontificia Universidad Católica de Chile; Chile Fil: McGill, Brian J.. University of Maine; Estados Unidos Fil: Morueta-Holme, Naia. Universidad de Copenhagen; Dinamarca Fil: Neves, Danilo M.. Universidade Federal de Minas Gerais; Brasil Fil: Núñez Regueiro, Mauricio Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Bio y Geociencias del NOA. Universidad Nacional de Salta. Facultad de Ciencias Naturales. Museo de Ciencias Naturales. Instituto de Bio y Geociencias del NOA; Argentina Fil: Oliveira-Filho, Ary T.. Universidade Federal de Minas Gerais; Brasil Fil: Peet, Robert K.. University of North Carolina; Estados Unidos Fil: Pillet, Michiel. University of Arizona; Estados Unidos Fil: Roehrdanz, Patrick R.. No especifíca; Fil: Sandel, Brody. Santa Clara University. Department of Biology; Estados Unidos Fil: Serra-Diaz, Josep M.. University Aarhus; Dinamarca Fil: Símová, Irena. CZECH ACADEMY OF SCIENCES (AVCR); Fil: Svenning, Jens Christian. No especifíca; Fil: Cuenin, Cyrille. No especifíca; Fil: Weitemier, Trang D.. Arizona State University; Estados Unidos Fil: Wiser, Susan. No especifíca; Fil: López-Hoffman, Laura. University of Arizona; Estados Unidos |
description |
Aim: Addressing global environmental challenges requires access to biodiversity data across wide spatial, temporal and taxonomic scales. Availability of such data has increased exponentially recently with the proliferation of biodiversity databases. However, heterogeneous coverage, protocols, and standards have hampered integration among these databases. To stimulate the next stage of data integration, here we present a synthesis of major databases, and investigate (a) how the coverage of databases varies across taxonomy, space, and record type; (b) what degree of integration is present among databases; (c) how integration of databases can increase biodiversity knowledge; and (d) the barriers to database integration. Location: Global. Time period: Contemporary. Major taxa studied: Plants and vertebrates. Methods: We reviewed 12 established biodiversity databases that mainly focus on geographic distributions and functional traits at global scale. We synthesized information from these databases to assess the status of their integration and major knowledge gaps and barriers to full integration. We estimated how improved integration can increase the data coverage for terrestrial plants and vertebrates. Results: Every database reviewed had a unique focus of data coverage. Exchanges of biodiversity information were common among databases, although not always clearly documented. Functional trait databases were more isolated than those pertaining to species distributions. Variation and potential incompatibility of taxonomic systems used by different databases posed a major barrier to data integration. We found that integration of distribution databases could lead to increased taxonomic coverage that corresponds to 23 years’ advancement in data accumulation, and improvement in taxonomic coverage could be as high as 22.4% for trait databases. Main conclusions: Rapid increases in biodiversity knowledge can be achieved through the integration of databases, providing the data necessary to address critical environmental challenges. Full integration across databases will require tackling the major impediments to data integration: taxonomic incompatibility, lags in data exchange, barriers to effective data synchronization, and isolation of individual initiatives. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/205216 Feng, Xiao; Enquist, Brian J.; Park, Daniel S.; Boyle, Brad; Breshears, David D.; et al.; A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base; Wiley Blackwell Publishing, Inc; Global Ecology and Biogeography; 31; 7; 4-2022; 1242-1260 1466-822X CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/205216 |
identifier_str_mv |
Feng, Xiao; Enquist, Brian J.; Park, Daniel S.; Boyle, Brad; Breshears, David D.; et al.; A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base; Wiley Blackwell Publishing, Inc; Global Ecology and Biogeography; 31; 7; 4-2022; 1242-1260 1466-822X CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1111/geb.13497 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Wiley Blackwell Publishing, Inc |
publisher.none.fl_str_mv |
Wiley Blackwell Publishing, Inc |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844613920330874880 |
score |
13.070432 |