Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats

Robert Crystal-Ornelas; Charuleka Varadharajan; Dylan O’Ryan; Kathleen Beilsmith; Benjamin Bond-Lamberty; Kristin Boye; Madison Burrus; Shreyas Cholia; Danielle S. Christianson; Michael Crow; Joan Damerow; Kim S. Ely; Amy E. Goldman; Susan L. Heinz; Valerie C. Hendrix; Zarine Kakalia; Kayla Mathes; Fianna O’Brien; Stephanie C. Pennington; Emily Robles; Alistair Rogers; Maegen Simmonds; Terri Velliquette; Pamela Weisenhorn; Jessica Nicole Welch; Karen Whitenack; Deborah A. Agarwal

doi:10.1038/s41597-022-01606-w

Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats

Robert Crystal-Ornelas, Charuleka Varadharajan, Dylan O’Ryan, Kathleen Beilsmith, Benjamin Bond-Lamberty, Kristin Boye, Madison Burrus, Shreyas Cholia, Danielle S. Christianson, Michael Crow, Joan Damerow, Kim S. Ely, Amy E. Goldman, Susan L. Heinz, Valerie C. Hendrix, Zarine Kakalia, Kayla Mathes, Fianna O’Brien, Stephanie C. Pennington, Emily RoblesAlistair Rogers, Maegen Simmonds, Terri Velliquette, Pamela Weisenhorn, Jessica Nicole Welch, Karen Whitenack, Deborah A. Agarwal

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

Abstract

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.

Original language	English
Article number	700
Journal	Scientific Data
Volume	9
Issue number	1
DOIs	https://doi.org/10.1038/s41597-022-01606-w
State	Published - Dec 2022

Funding

Robert Crystal-Ornelas, Charuleka Varadharajan, Dylan O’Ryan, Madison Burrus, Shreyas Cholia, Joan Damerow, Valerie C. Hendrix, Zarine Kakalia, Fianna O’Brien, Emily Robles, Maegen Simmonds, Karen Whitenack, and Deborah A. Agarwal were funded through the ESS-DIVE repository by the U.S. DOE’s Office of Science Biological and Environmental Research under contract number DE-AC02-05CH11231. Kim S. Ely and Alistair Rogers were supported through the US Department of Energy contract number DE-SC0012704 to Brookhaven National Laboratory. Michael Crow, Susan Heinz, Terri Velliquette, and Jessica N. Welch were supported through the US Department of Energy contract number DE-AC05-1008 00OR22725 to Oak Ridge National Laboratory. We acknowledge the work of Diana Swantek in producing the Fig. 2 illustration. Reporting format development was supported by through the Office of Biological and Environmental Research in the Department of Energy, Office of Science.

Funders	Funder number
Madison Burrus
Shreyas Cholia
U.S. Department of Energy	DE-AC05-1008 00OR22725, DE-SC0012704
Office of Science
Biological and Environmental Research	DE-AC02-05CH11231

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Crystal-Ornelas, R., Varadharajan, C., O’Ryan, D., Beilsmith, K., Bond-Lamberty, B., Boye, K., Burrus, M., Cholia, S., Christianson, D. S., Crow, M., Damerow, J., Ely, K. S., Goldman, A. E., Heinz, S. L., Hendrix, V. C., Kakalia, Z., Mathes, K., O’Brien, F., Pennington, S. C., ... Agarwal, D. A. (2022). Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats. Scientific Data, 9(1), Article 700. https://doi.org/10.1038/s41597-022-01606-w

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title = "Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats",

abstract = "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.",

author = "Robert Crystal-Ornelas and Charuleka Varadharajan and Dylan O{\textquoteright}Ryan and Kathleen Beilsmith and Benjamin Bond-Lamberty and Kristin Boye and Madison Burrus and Shreyas Cholia and Christianson, {Danielle S.} and Michael Crow and Joan Damerow and Ely, {Kim S.} and Goldman, {Amy E.} and Heinz, {Susan L.} and Hendrix, {Valerie C.} and Zarine Kakalia and Kayla Mathes and Fianna O{\textquoteright}Brien and Pennington, {Stephanie C.} and Emily Robles and Alistair Rogers and Maegen Simmonds and Terri Velliquette and Pamela Weisenhorn and Welch, {Jessica Nicole} and Karen Whitenack and Agarwal, {Deborah A.}",

note = "Publisher Copyright: {\textcopyright} 2022, Lawrence Berkeley National Laboratory.",

year = "2022",

month = dec,

doi = "10.1038/s41597-022-01606-w",

language = "English",

volume = "9",

journal = "Scientific Data",

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Crystal-Ornelas, R, Varadharajan, C, O’Ryan, D, Beilsmith, K, Bond-Lamberty, B, Boye, K, Burrus, M, Cholia, S, Christianson, DS, Crow, M, Damerow, J, Ely, KS, Goldman, AE, Heinz, SL, Hendrix, VC, Kakalia, Z, Mathes, K, O’Brien, F, Pennington, SC, Robles, E, Rogers, A, Simmonds, M, Velliquette, T, Weisenhorn, P, Welch, JN, Whitenack, K & Agarwal, DA 2022, 'Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats', Scientific Data, vol. 9, no. 1, 700. https://doi.org/10.1038/s41597-022-01606-w

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AU - Crystal-Ornelas, Robert

AU - Varadharajan, Charuleka

AU - O’Ryan, Dylan

AU - Beilsmith, Kathleen

AU - Bond-Lamberty, Benjamin

AU - Boye, Kristin

AU - Burrus, Madison

AU - Cholia, Shreyas

AU - Christianson, Danielle S.

AU - Crow, Michael

AU - Damerow, Joan

AU - Ely, Kim S.

AU - Goldman, Amy E.

AU - Heinz, Susan L.

AU - Hendrix, Valerie C.

AU - Kakalia, Zarine

AU - Mathes, Kayla

AU - O’Brien, Fianna

AU - Pennington, Stephanie C.

AU - Robles, Emily

AU - Rogers, Alistair

AU - Simmonds, Maegen

AU - Velliquette, Terri

AU - Weisenhorn, Pamela

AU - Welch, Jessica Nicole

AU - Whitenack, Karen

AU - Agarwal, Deborah A.

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Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats

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