FAIR and CARE

Data & Open Science

Responsible data management supports international science while respecting community knowledge, sensitive sites and legal obligations.

Key areas

Core Components

Findable

Data is described with rich metadata and persistent identifiers such as DOIs.

Accessible

Appropriate datasets are stored in institutional and open-access repositories.

Interoperable

Standardized formats and vocabularies improve reuse across systems.

Reusable

Clear licensing, documentation and quality control support future scientific work.

Collective Benefit

Data management serves both community and scientific interests.

Ethical Stewardship

Sensitive information is reviewed, anonymized where needed and validated with stakeholders.

Repositories

Where Our Data Goes

Metadata includes sampling date, coordinates, habitat type, sample type, collection method, preservation method, taxonomic information, analytical method, responsible institution and quality control procedures.

DNA barcode sequences BOLD, GenBank
Species occurrence data GBIF, OBIS
Environmental and microplastic datasets Institutional and open-access repositories with DOIs