EDI Dataset Preparation Guides

This website contains a series of documents about preparing and publishing datasets in the environmental sciences and similar contexts. Topics include community-developed metadata standards, serialization and markup formatting guidelines, best practices for content in ecological synthesis datasets, and more. This documentation is maintained by the Environmental Data Initiative (EDI) and all content has been developed and written in collaboration with EDI’s community of scientists, data managers, and repository users.

The purpose of these guides is to:

To contribute to these documents or participate in the associated working groups, see the About page or the repository README.

The guides

Date Title Description Categories
Feb 19, 2021 Data Package Design for Special Cases Considerations for creating well-designed datasets that include data specialized by type, format, or acquisition method. Examples are images, code, documents, and raw data in other repositories. This is Version 1, written by the LTER/EDI Non-tabular Data Working Group. published
Nov 15, 2024 Best Practices for Dataset Metadata in Ecological Metadata Language These recommendations for creating EML metadata documents can be applied to most research datasets. This is Version 4 (2024), written by the LTER/EDI EML Best Practices Working Group. Find earlier versions here. draft
Nov 15, 2024 Ecological community survey data (ecocomDP) This guide covers how to format community survey and biodiversity data to the “ecocomDP” harmonized data model. The ecocomDP standard and associated tools are a community-supported project involving the LTER Network, NEON, and others. draft
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References

Jones, Matthew, Margaret O’Brien, Bryce Mecum, Carl Boettiger, Mark Schildhauer, Mitchell Maier, Timothy Whiteaker, Stevan Earl, and Steven Chong. 2019. “Ecological Metadata Language Version 2.2.0.” KNB Data Repository. https://doi.org/10.5063/F11834T2.
Wilkinson, Mark D., Michel Dumontier, IJsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, et al. 2016. “The FAIR Guiding Principles for Scientific Data Management and Stewardship.” Scientific Data 3 (1): 160018. https://doi.org/10.1038/sdata.2016.18.