Principles#
The following seven principles guide how Antarctic and Southern Ocean data should be managed, described, and shared to maximise their long-term value and interoperability.
Principle |
Statement |
Context |
|---|---|---|
Metadata |
Data are best represented by metadata described with an internationally recognised standard. |
Metadata should carry attributes that enable discovery, access, context, and reuse. Well-structured metadata is easily exchanged across repositories and catalogues, and indexed by federated search tools. |
Data Granularity |
Data are best described and archived in their most granular, usable form appropriate to the discipline and data type. |
Some disciplines are well served by project-level metadata; for others, utility is significantly improved when data are described and archived at a finer level of granularity. |
Data are Standardised |
Standardised data formats in widespread use worldwide increase data utility. |
Standard formats promote data system interoperability and simplify aggregation across multiple data sources. |
Data are Defined with Controlled Vocabularies |
Data should be evaluated for attributes that carry different meanings to producers and users, and across disciplines. |
Controlled vocabularies promote interoperability and reuse by ensuring shared understanding of terms. A layered approach to vocabularies is recommended:
Together, these vocabularies support both data discovery (GCMD) and semantic precision and interoperability (CF and NERC). |
Data are Accessible |
Data are most accessible when available in an immediately usable form. |
Data should be published as soon as practicable. A URL in the metadata pointing directly to a single data file enables automated systems and AI-driven workflows to integrate with the data. Files locked in non-standardised archives, behind passwords, or within access-restricted systems are significantly harder to consume programmatically. |
Data Repositories are Trustworthy |
Third-party repositories should be evaluated for quality and carry recognised certification. |
Long-term preservation must be guaranteed. Repositories with CoreTrustSeal certification provide assurance of quality and longevity. Good repository selection also promotes data discovery and ensures data legacy. |
CARE Principles for Indigenous Data Governance |
Indigenous data should be managed so that Indigenous governance over the data and its use is respected. |
The application of all other principles must never compromise Māori Data Sovereignty. The CARE Principles — Collective Benefit, Authority to Control, Responsibility, and Ethics — provide the framework for Indigenous data governance. |