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Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats.
Crystal-Ornelas, Robert; Varadharajan, Charuleka; O'Ryan, Dylan; Beilsmith, Kathleen; Bond-Lamberty, Benjamin; Boye, Kristin; Burrus, Madison; Cholia, Shreyas; Christianson, Danielle S; Crow, Michael; Damerow, Joan; Ely, Kim S; Goldman, Amy E; Heinz, Susan L; Hendrix, Valerie C; Kakalia, Zarine; Mathes, Kayla; O'Brien, Fianna; Pennington, Stephanie C; Robles, Emily; Rogers, Alistair; Simmonds, Maegen; Velliquette, Terri; Weisenhorn, Pamela; Welch, Jessica Nicole; Whitenack, Karen; Agarwal, Deborah A.
Afiliación
  • Crystal-Ornelas R; Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
  • Varadharajan C; Github, San Francisco, CA, 94107, USA.
  • O'Ryan D; Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA. cvaradharajan@lbl.gov.
  • Beilsmith K; Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
  • Bond-Lamberty B; Environmental Studies Department, California State University, Sacramento, 6000 Jed Smith Dr, Sacramento, CA, 95819, USA.
  • Boye K; Argonne National Laboratory, Lemont, IL, 60439, USA.
  • Burrus M; Pacific Northwest National Laboratory, Joint Global Change Research Institute at the University of Maryland-College Park, College Park, MD, 20740, USA.
  • Cholia S; Environmental Geochemistry Group, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA, 94025, USA.
  • Christianson DS; Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
  • Crow M; Scientific Data Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
  • Damerow J; Scientific Data Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
  • Ely KS; Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA.
  • Goldman AE; Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
  • Heinz SL; Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, 11973, USA.
  • Hendrix VC; Pacific Northwest National Laboratory, Richland, WA, 99354, USA.
  • Kakalia Z; Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA.
  • Mathes K; Scientific Data Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
  • O'Brien F; Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
  • Pennington SC; Integrated Life Sciences, Virginia Commonwealth University, Richmond, VA, 23284, USA.
  • Robles E; Scientific Data Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
  • Rogers A; Pacific Northwest National Laboratory, Joint Global Change Research Institute at the University of Maryland-College Park, College Park, MD, 20740, USA.
  • Simmonds M; Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
  • Velliquette T; Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, 11973, USA.
  • Weisenhorn P; Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
  • Welch JN; Pivot Bio, 2910 Seventh Street, Berkeley, CA, 94710, USA.
  • Whitenack K; Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA.
  • Agarwal DA; Argonne National Laboratory, Lemont, IL, 60439, USA.
Sci Data ; 9(1): 700, 2022 11 14.
Article en En | MEDLINE | ID: mdl-36376356
Research can be more transparent and collaborative by using Findable, Accessible, Interoperable, and Reusable (FAIR) principles to publish Earth and environmental science data. Reporting formats-instructions, templates, and tools for consistently formatting data within a discipline-can help make data more accessible and reusable. However, the immense diversity of data types across Earth science disciplines makes development and adoption challenging. Here, we describe 11 community reporting formats for a diverse set of Earth science (meta)data including cross-domain metadata (dataset metadata, location metadata, sample metadata), file-formatting guidelines (file-level metadata, CSV files, terrestrial model data archiving), and domain-specific reporting formats for some biological, geochemical, and hydrological data (amplicon abundance tables, leaf-level gas exchange, soil respiration, water and sediment chemistry, sensor-based hydrologic measurements). More broadly, we provide guidelines that communities can use to create new (meta)data formats that integrate with their scientific workflows. Such reporting formats have the potential to accelerate scientific discovery and predictions by making it easier for data contributors to provide (meta)data that are more interoperable and reusable.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proyectos de Investigación / Ciencia Ambiental Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Data Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proyectos de Investigación / Ciencia Ambiental Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Data Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido