Operationalizing the CARE and FAIR Principles for Indigenous data futures

By S. Carroll, Edit Herczog, M. Hudson, Keith Russell, S. Stall. 2021

400 citations recorded by the source corpus.

As big data, open data, and open science advance to increase access to complex and large datasets for innovation, discovery, and decision-making, Indigenous Peoples’ rights to control and access their data within these data environments remain limited. Operationalizing the FAIR Principles for scientific data with the CARE Principles for Indigenous Data Governance enhances machine actionability and brings people and purpose to the fore to resolve Indigenous Peoples’ rights to and interests in their data across the data lifecycle.

Subfields: Information Systems, Information Systems and Management, AI Ethics, Fairness & Society, Social Sciences & Humanities

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Irene Solaiman
2. Marie-Therese Png
3. Zeerak Talat
4. Yacine Jernite
5. Alexandra Sasha Luccioni
6. Jesse Dodge
7. Su Lin Blodgett
8. Margaret Mitchell

In Information Systems and Management

1. Irene Solaiman
2. Margaret Mitchell
3. Sara Hooker
4. Muntasir Wahed
5. N. Ahmed

In AI Ethics, Fairness & Society

1. Alexandra Sasha Luccioni
2. Irene Solaiman
3. Marie-Therese Png
4. Zeerak Talat
5. Yacine Jernite
6. Su Lin Blodgett
7. Margaret Mitchell
8. Sara Hooker

In Social Sciences & Humanities

1. Irene Solaiman
2. Marie-Therese Png
3. Zeerak Talat
4. Su Lin Blodgett

Citations in the corpus

• Evaluating the Social Impact of Generative AI Systems in Systems and Society (2023, methodology): “: The CARE Principles for Indigenous Data Governance [51] or FAIR principles [52].”