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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
En 中文
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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