Description
FAIR Data Compliance Service | Findable, Accessible, Interoperable, Reusable
Major journals and funders now require research data to meet FAIR principles. Editverse helps you prepare and document your data to satisfy these increasingly mandatory requirements.
Service Components
- Data Assessment – Review current data organization and documentation
- FAIR Gap Analysis – Identify shortfalls in Findable, Accessible, Interoperable, Reusable criteria
- Metadata Enhancement – Develop rich, standardized metadata descriptions
- Repository Selection – Identify appropriate discipline-specific or general repositories
- Documentation Preparation – README files, codebooks, data dictionaries
- Persistent Identifier Setup – DOI registration and ORCID linking
FAIR Principles Explained
- Findable – Rich metadata, unique identifiers, searchable repositories
- Accessible – Open protocols, authentication where needed, persistent availability
- Interoperable – Standard formats, vocabularies, and ontologies
- Reusable – Clear licensing, provenance documentation, community standards
Repository Expertise
We guide you to the right repository: Dryad, Figshare, Zenodo, OSF, discipline-specific options (GenBank, PDB, ICPSR), or institutional repositories.
Turnaround
Standard: 5-7 business days | Complexity varies with dataset size
📧 Contact: co*****@*******se.com
