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Data Governance

From The Foundation for Best Practices in Machine Learning
Organisation Best Practices > Data Governance

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Data Governance

To ensure the integrity, normalisation, fairness and non-discrimination of Projet and/or Model data.
Item nr. Item Name and Page Control Aim
4.1. Data Governance Policy

A Policy and Guide, which promotes good Data Governance in Product and Model design, development, and implementation ought to be derived by Data Science Managers and approved by the Managerial Committee. If a generic Data Governance Policy already exists, the above should be integrated accordingly.

To (a) ensure the integrity, normalisation, fairness and non-discrimination of Product and/or Model data; and (b) provide clear Organisation guidance to Products on how to warrant data integrity, normalisation, fairness and non-discrimination.

4.2. Data Governance Procedures

A set of Procedures to operationalise the Data Governance Policy should be developed and implemented within Products in light of Product Definitions, the Product Risk Classification Portfolio, and Product Lifecycle and Workflow Descriptions.

To ensure the Data Governance of Products and Models.