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ER Data: Proposing a Data Model for Data Cooperatives
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DOI：10.1007/978-3-032-04403-7_27.png)
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Abstract
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Data cooperatives empower communities to collectively govern data, but existing frameworks like FAIR (Findable, Accessible, Interoperable, Reusable) lack mechanisms for equitable and democratic control of data. We present FAIR-ER, extending FAIR with two dimensions: Equitability - ensuring fair access and benefit-sharing regardless of individual contributions, and Regulability - enforcing member sovereignty through governance rules. The framework bridges critical gaps between FAIR's technical focus and cooperative values, demonstrated through both its operational building blocks and governance mechanisms. As a conceptual contribution, FAIR-ER provides a foundation for both technical implementation and future empirical validation in cooperative environments, advancing the development of ethically-grounded data ecosystems.
Keywords:
Data Cooperatives center dot FAIR Principles center dot Data Governance center dot Data Management
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