Relational Science

Decoding IEEE 2890-2025 Part I: The New Global Baseline for Indigenous Data Governance


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How do you validate the origin of knowledge in the age of AI and Big Data? The answer may lie in the IEEE 2890-2025 Recommended Practices for Provenance of Indigenous Peoples Data.

Join our co-hosts, WariNkwi and Sierra, for a critical analysis of the first international standard that applies the CARE Principles through technical provenance. As the US Indigenous Data Sovereignty Network notes, this is a milestone step for governance—but what does it look like in practice?

At Relational Science, we guide you through the operational realities of this document. In Part 1, dissecting the standard up to Section 7.3, exploring:

  • Provenance as a Data Asset: How "appropriate disclosure" adds value and integrity to datasets.

  • The Operational Gap: The purpose, scope, and necessary limitations of the standard.

  • The New Compliance: Why properly documenting Indigenous relationships to data is now a prerequisite for ethical research and the fair Indigenous shareholdershio in the data economy/bioeconomy

Don't get left behind by the shifting regulatory landscape; whether you are an Indigenous guardian, a tech developer, or a policy maker, this standard changes the rules of the "Data Gambit". Listen now to understand the new mechanisms of Indigenous Data Provenance.

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Relational ScienceBy WN. Flores and Sierra Hicks