The Environmental Data Initiative enables the environmental science community to maximize knowledge development through the reusability of FAIR environmental data by providing curation services, training, and a robust and modern data repository. Please cite as: Gries, Corinna. (2018, December). Introduction to the Environmental Data Initiative (EDI) (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.4672376

1. The Environmental Data Initiative (EDI)
Supporting Curation and Archiving of Environmental Data
EDI is funded by the NSF DEB
Corinna Gries
& EDI Team

2. History - we are standing on the shoulders of giants
Almost 40 years of LTER data management experience
1980s
Repository Infrastructure
2010
DataONE Member Node
2015
Digital Object Identifiers Minted
EDI

3. Mission and Goals
Accelerate the curation, archiving, and dissemination of environmental data
Ensure that environmental data are:
● Deposited into a data repository for long-term preservation and data integrity
● Easily discoverable and seamlessly accessible
● Documented with rich science metadata to enable reuse and integration

4. Data submitted to EDI
Long term data sets - regular updating (e.g. LTER, LTREB, OBFS)
Data associated with one project (e.g., MSB, other short term funding)
Data from a single investigator lab
Data associated with a publication (may be subsets, usually are well curated)

5. Curation Support
Data curation support for data providers
● Experienced data managers on staff
● Consultation
● Training
● In person courses
● Online
● Internships
● Data Curation Tool Development

6. Archiving
Certified and registered as trustworthy repository (re3data, Nature, ESA, others)
Data are documented in Ecological Metadata Language standard
High quality standards enforced through automated congruence and completeness checking

7. Dissemination
EDI search interface
DataONE member node
Google Dataset Search
Digital Object Identifier (DOI) through DataCite
Collaborations with FAIR project, journal publishers
Linking of publications and data sets
Documentation of data provenance

8. Data Package
Landing Page
Citation suggestion
Provenance information
Code generation

9. Thank you
Mark Servilla
Paul Hanson
Kristin Vanderbilt
Margaret O’Brien
Colin Smith
Duane Costa
Susanne Grossman-Clarke
https://environmentaldatainitiative.org/