Our Vision
Scientific discovery fueled by data commons accessible to everyone.
Our Mission
Preserve environmental data for open and reproducible science, to promote synthesis across space and time, and to aid in the assessment of environmental change and its consequences.
Information Rich Metadata
Quickly understand a dataset and evaluate its fitness for reuse in new research.
Quality Data for Reuse
Open-access to a thematically diverse collection of environmental data.
Tools to Support Research
Useful tools for publishing and reusing data in the research life cycle.
Secure & Persistent Archive
Guaranteed immutability of all data for long-term access, transparency, and reuse.
Timely One-on-One Support
Around-the-clock support on topics from data curation to software design.
Citation & Attribution
Automatically updated research profiles and data linked to journal articles.
Enhanced Discovery
Data discoverable in the DataONE and Google Dataset Search Engines reach broad audiences.
Data Exploration & Analysis
Intuitive data exploration tools for deeper insights into published data packages.
Analysis Ready Data
Accelerated integration and synthesis of data through thematic standardization.
Workflow Automation
REST API for automating data publication, reporting, and reproducible science.
Training & Skill Building
Based on 40+ years of information management expertise, including from the U.S. LTER Network.
Personalized Data Catalogs
A searchable index of select data publications to embed within a project website.
EDI is moving to the cloud!
The Environmental Data Initiative (EDI) is on a new infrastructure journey, starting in late 2024 and estimated to be completed in early 2025.
Continue readingRequest for Comment: Expanding the List of Supported Date and Time Formats for Congruence Checks
The EML Congruence Checker (ECC) and the ezEML Check Data Tables provide critical validation services to verify the accuracy and consistency of data packages before publication in the EDI Data...
Continue readingNew Guidelines for Defining Data Package Replication
Ensuring data consumers are aware of replicated data across repositories is crucial for reducing data user confusion, data misuse and errors, and inefficiencies for data harvesters.
Continue readingUpdates to the ezEML Metadata Editor
Many of you are already familiar with the ezEML Metadata Editor developed at the EDI Repository, but for those that need an introduction, it has become a very easy but powerful way to publish your...
Continue reading