data stewardship
Institutional practices for curating, maintaining and controlling datasets.
Definitions (3)
The practices, roles and institutional arrangements responsible for curating, maintaining, documenting and controlling access to datasets, including responsibilities for metadata, quality metrics, licensing and compliance with privacy and sectoral rules. Data stewards are to be accredited and held to operational and governance standards under the proposed national framework.
Responsibilities for managing, governing, and protecting datasets used or produced by consorcio projects in accordance with Mexican data protection rules and institutional policies, including duties for access control, ethical review, and compliance with relevant data handling obligations.
A role and set of practices that ensure the curation, quality, access controls, interoperability and lawful processing of datasets used for AI systems, assigning responsibilities to data stewards/controllers/processors to support reuse, governance and GDPR compliance.
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