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Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats
Robert Crystal-Ornelas1,2, Charuleka Varadharajan3, Dylan O'Ryan1,4
1Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Scientific Data
|November 14, 2022
Summary
Publishing Earth and environmental science data using Findable, Accessible, Interoperable, and Reusable (FAIR) principles is enhanced by community reporting formats. These formats improve data accessibility and reusability, accelerating scientific discovery.
Area of Science:
- Earth and environmental science data management.
- Scientific data publishing standards.
Background:
- Findable, Accessible, Interoperable, and Reusable (FAIR) principles promote transparent and collaborative research.
- Data reporting formats enhance data accessibility and reusability but face challenges due to Earth science data diversity.
Purpose of the Study:
- To describe 11 community reporting formats for diverse Earth science (meta)data.
- To provide guidelines for creating new (meta)data formats compatible with scientific workflows.
Main Methods:
- Development and description of 11 community reporting formats.
- Inclusion of cross-domain metadata, file-formatting guidelines, and domain-specific formats (biological, geochemical, hydrological).
Main Results:
- 11 community reporting formats for diverse Earth science (meta)data were described.
- Guidelines for creating new, workflow-integrated (meta)data formats were provided.
Conclusions:
- Community reporting formats are crucial for making Earth and environmental science data FAIR.
- These formats can accelerate scientific discovery by improving data interoperability and reusability.
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