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CARE Principles

🤝CARE Principles

NEW

A framework emphasizing Collective Benefit, Authority to Control, Responsibility, and Ethics for Indigenous data governance.

DESCRIPTION

CARE Principles guide Indigenous data governance by prioritizing collective benefit, authority to control, responsibility, and ethics. They complement FAIR by centering people and power, not just data accessibility. CARE ensures sovereignty, accountability, and culturally appropriate use. Adoption requires community engagement and equitable decision rights. Organizations integrate CARE into policies, consent processes, and stewardship practices.

ALTERNATIVE DEFINITIONS

Global Indigenous Data Alliance

The CARE Principles for Indigenous Data Governance are People and Purpose-oriented. They emphasize Collective Benefit, Authority to Control, Responsibility, and Ethics to ensure data use enhances wellbeing and respects Indigenous rights.

Centers people, purpose, wellbeing, and Indigenous rights in governance.

Source

Nature Scientific Data

The CARE Principles complement FAIR by focusing on the ‘people and purpose’ aspects of data use to advance Indigenous rights and collective interests.

Explicit complementarity to FAIR and focus on rights and collective interests.

Source

FORCE11

CARE Principles articulate how data governance must account for collective benefit, authority to control, responsibility, and ethics in relation to Indigenous data.

Emphasizes governance obligations and relational accountability.

Source

Sovereignty Data Ethics Indigenous Data Governance Consent Accountability Data Stewardship Transparency Community Engagement Responsible AI

COMPETING TERMS

FAIR Principles

KNOWLEDGE AREAS

Data Governance Data Privacy & Compliance AI Governance Data Management

TARGET AUDIENCE

Data Governance Manager Data Privacy Officer Chief Data Officer Chief AI Officer Data Steward

EXTERNAL SOURCES

TOP QUESTIONS

Why are CARE Principles important?

They prioritize Indigenous rights, collective benefit, and ethical data use, complementing FAIR’s technical focus.

Category: Relevancy

How do CARE Principles differ from FAIR Principles?

CARE centers people and power; FAIR emphasizes Findability, Accessibility, Interoperability, and Reusability of data.

Category: Misunderstanding

How can organizations implement CARE Principles?

Engage communities, define decision rights, include culturally appropriate consent, and enforce accountable stewardship.

Category: Management

What is a common mistake regarding CARE Principles?

Treating CARE as optional ethics rather than governance obligations with shared authority.

Category: Mistakes

What risks arise from ignoring CARE Principles?

Loss of trust, harmful uses, and potential violations of Indigenous sovereignty and rights.

Category: Risk

How do CARE Principles relate to Responsible AI?

They guide equitable data practices and power-sensitive decisions, foundational to trustworthy AI.

Category: Opinion

Where to start learning CARE Principles?

Begin with GIDA resources, RDA groups, and Nature articles; consult Indigenous communities.

Category: Requirements

What is currently a hot topic around CARE Principles?

Embedding CARE into data sharing agreements, metadata, and governance workflows.

Category: Topic

How should success with CARE be measured?

Use community-defined outcomes, equitable control mechanisms, and accountability audits.

Category: Testing