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Best practices for genetic and genomic data archiving.
Leigh, Deborah M; Vandergast, Amy G; Hunter, Margaret E; Crandall, Eric D; Funk, W Chris; Garroway, Colin J; Hoban, Sean; Oyler-McCance, Sara J; Rellstab, Christian; Segelbacher, Gernot; Schmidt, Chloé; Vázquez-Domínguez, Ella; Paz-Vinas, Ivan.
Afiliación
  • Leigh DM; Swiss Federal Research Institute WSL, Birmensdorf, Switzerland. deborah.leigh@wsl.ch.
  • Vandergast AG; US Geological Survey, Western Ecological Research Center, San Diego, CA, USA.
  • Hunter ME; US Geological Survey, Wetland & Aquatic Research Center, Gainesville, FL, USA.
  • Crandall ED; Department of Biology, Pennsylvania State University, University Park, PA, USA.
  • Funk WC; Department of Biology, Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, USA.
  • Garroway CJ; Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.
  • Hoban S; Center for Tree Science, The Morton Arboretum, Lisle, IL, USA.
  • Oyler-McCance SJ; US Geological Survey, Fort Collins Science Center, Fort Collins, CO, USA.
  • Rellstab C; Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.
  • Segelbacher G; Wildlife Ecology and Management, University Freiburg, Freiburg, Germany.
  • Schmidt C; German Centre for Integrative Biodiversity Research Halle-Jena-Leipzig, Leipzig, Germany.
  • Vázquez-Domínguez E; Departamento de Ecología de la Biodiversidad, Instituto de Ecología, Universidad Nacional Autónoma de México, Coyoacán, Ciudad de México, México.
  • Paz-Vinas I; Department of Biology, Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, USA.
Nat Ecol Evol ; 8(7): 1224-1232, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38789640
ABSTRACT
Genetic and genomic data are collected for a vast array of scientific and applied purposes. Despite mandates for public archiving, data are typically used only by the generating authors. The reuse of genetic and genomic datasets remains uncommon because it is difficult, if not impossible, due to non-standard archiving practices and lack of contextual metadata. But as the new field of macrogenetics is demonstrating, if genetic data and their metadata were more accessible and FAIR (findable, accessible, interoperable and reusable) compliant, they could be reused for many additional purposes. We discuss the main challenges with existing genetic and genomic data archives, and suggest best practices for archiving genetic and genomic data. Recognizing that this is a longstanding issue due to little formal data management training within the fields of ecology and evolution, we highlight steps that research institutions and publishers could take to improve data archiving.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genómica Idioma: En Revista: Nat Ecol Evol Año: 2024 Tipo del documento: Article País de afiliación: Suiza

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genómica Idioma: En Revista: Nat Ecol Evol Año: 2024 Tipo del documento: Article País de afiliación: Suiza