This policy area covers the release of genomic and research data for external use, including data derived from Natural Science Collections. It includes policies on FAIR and open data principles, licensing, and digital publication, as well as technical standards for how data should be organised, stored, exchanged, and referenced to ensure consistency and interoperability across systems and users. It also addresses data structuring and transparency requirements relevant to the use of artificial intelligence (AI) in research and analysis
Guidelines to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets. The principles emphasize machine-actionability (i.e., the capacity of computational systems to find, access, interoperate, and reuse data with none or minimal human intervention) because humans increasingly rely on computational support to deal with data as a result of the increase in volume, complexity, and creation speed of data. (from https://www.go-fair.org/fair-principles/ July 2nd, 2021)
This workflow describes the act of data publishing (also data publication) where research data is released in published form for reuse by others.
The CARE Principles for Indigenous Data Governance are people and purpose-oriented, reflecting the crucial role of data in advancing Indigenous innovation and self-determination.
This workflow describes the act of data publishing (also data publication) where research data is released in published form for reuse by others.
The EU Open Data Directive promotes free access and reuse of publicly funded data, including research, to support transparency, innovation, and interoperability across Europe.
This workflow describes the act of data publishing (also data publication) where research data is released in published form for reuse by others.
Repositories recognised by the scientific community or certified by standards bodies ensure long-term preservation, accessibility, and integrity of data or specimens through best practices in curation, metadata, and legal compliance.
This workflow describes the act of data publishing (also data publication) where research data is released in published form for reuse by others.
Agreed-upon specifications for the structure, format, and content of descriptive information (metadata) that ensure data are consistent, interoperable, and reusable across systems and disciplines.
This workflow describes the act of data publishing (also data publication) where research data is released in published form for reuse by others.
Refers to the use of stable, globally recognised identifiers (e.g. DOIs, accession numbers, specimen IDs) to track and link genomic data, specimens, and related documentation, ensuring long-term traceability, citation, and data integration
This workflow describes the act of data publishing (also data publication) where research data is released in published form for reuse by others.
Focused on safeguarding data, this component covers how genomic and specimen data are protected against unauthorised access, loss, or corruption, while ensuring their accuracy, authenticity, and reliability over time.
This component provides guidance on what a data management plan is, why it is important in biodiversity genomics and taxonomy, and outlines recommended best practices and community standards creating one.
