Findable
Data is described with rich metadata and persistent identifiers such as DOIs.
FAIR and CARE
Responsible data management supports international science while respecting community knowledge, sensitive sites and legal obligations.
Key areas
Data is described with rich metadata and persistent identifiers such as DOIs.
Appropriate datasets are stored in institutional and open-access repositories.
Standardized formats and vocabularies improve reuse across systems.
Clear licensing, documentation and quality control support future scientific work.
Data management serves both community and scientific interests.
Sensitive information is reviewed, anonymized where needed and validated with stakeholders.
Repositories
Metadata includes sampling date, coordinates, habitat type, sample type, collection method, preservation method, taxonomic information, analytical method, responsible institution and quality control procedures.