DataTerminology.comNEW
Also known as: Decolonizing Data
A movement and practice to re-center data ownership, control, and benefits with communities historically marginalized by dominant institutions.
DESCRIPTION
Data decolonization challenges extractive data practices and calls for governance that respects community rights, context, and consent. It emphasizes equity, local control, and benefit sharing, especially for Indigenous and Global South communities. Frameworks like CARE complement FAIR by focusing on collective benefit, authority to control, responsibility, and ethics. Organizations operationalize these principles through participatory governance, transparent consent, and data-sharing agreements aligned with community norms. The movement seeks to rebalance power and ensure data practices serve community-defined goals.
ALTERNATIVE DEFINITIONS
Global Indigenous Data Alliance (GIDA)
The CARE Principles for Indigenous Data Governance—Collective Benefit, Authority to Control, Responsibility, and Ethics—extend FAIR by focusing on people and purpose in data ecosystems.
Centers Indigenous governance and ethical stewardship beyond technical FAIRness.
MIT Press (Data Feminism)
Data Feminism argues for power-aware data practices that challenge inequities and center those most affected by data collection and use.
Advances power-aware, justice-focused approaches relevant to decolonizing data.
RELATED TERMS
Data Justice Indigenous Data Sovereignty CARE Principles FAIR Principles Governance Data Ethics Data Politics Digital Rights Equity in AI Responsible AI
COMPETING TERMS
Data Colonialism
KNOWLEDGE AREAS
AI Governance Data Governance Domain & Business Context
TARGET AUDIENCE
Chief Data Officer Data Governance Manager Digital Transformation Manager AI Product Manager Data Strategy Consultant
EXTERNAL SOURCES
- Wikipedia - Indigenous data sovereignty
- GIDA - CARE principles for data governance
- MIT Press - Open book on power in data
- Open Data Charter - Guidance on decolonising data
TOP QUESTIONS
Why is Data Decolonization relevant now?
Data extraction and AI amplify existing inequities. Decolonizing approaches ensure benefits and control align with community priorities.
Category: Relevancy
How do CARE and FAIR relate in Data Decolonization?
FAIR focuses on technical reuse; CARE centers people and power. Together they support ethical, usable data ecosystems.
Category: Frameworks
What is a practical first step toward Data Decolonization?
Engage communities early, co-design consent and governance, and formalize authority to control in agreements.
Category: Getting Started
What risks arise if Data Decolonization is ignored?
Loss of trust, harmful outcomes, and legal or reputational consequences. Projects may fail due to community pushback.
Category: Risks
How does Data Decolonization affect data sharing?
It emphasizes context-specific agreements, benefit sharing, and limits to reuse based on community priorities.
Category: Governance
Does Data Decolonization oppose open data?
Not categorically. It argues for openness conditioned on rights, consent, and equitable benefit.
Category: Misunderstanding
Who should lead Data Decolonization in organizations?
Cross-functional teams including governance, ethics, legal, and community liaisons, with leadership sponsorship.
Category: Ownership
How can AI projects integrate Data Decolonization?
Use participatory design, impact assessments, and data governance that recognizes collective rights and local norms.
Category: AI
What metrics indicate progress?
Documented consent practices, benefit-sharing agreements, community governance participation, and audits of data use against commitments.
Category: Measurement