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Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats
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 dat...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663825/ https://www.ncbi.nlm.nih.gov/pubmed/36376356 http://dx.doi.org/10.1038/s41597-022-01606-w |
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author | 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. |
author_facet | 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. |
author_sort | Crystal-Ornelas, Robert |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9663825 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96638252022-11-15 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. Sci Data Article 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. Nature Publishing Group UK 2022-11-14 /pmc/articles/PMC9663825/ /pubmed/36376356 http://dx.doi.org/10.1038/s41597-022-01606-w Text en © © Lawrence Berkeley National Laboratory 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article 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. Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats |
title | Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats |
title_full | Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats |
title_fullStr | Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats |
title_full_unstemmed | Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats |
title_short | Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats |
title_sort | enabling fair data in earth and environmental science with community-centric (meta)data reporting formats |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663825/ https://www.ncbi.nlm.nih.gov/pubmed/36376356 http://dx.doi.org/10.1038/s41597-022-01606-w |
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