Guide to Equity-Driven Data Management

This guide provides agencies a grounding in the foundations of data management and equity through key terms, GBA Plus, and key data equity principles. It then explores five phases of developing a comprehensive data management strategy: identifying data needs, evaluating current practices, designing a strategy, implementing the strategy, and ongoing monitoring and evaluation.

Each section includes explanatory text, supporting worksheets and illustrative case studies for both larger and smaller organizations. The guide culminates in a sample template to produce a complete draft of a data management strategy. Appendices provide expanded explanations of six core data practices: standards, collection, quality, curation, analysis and use, and monitoring and evaluation, as well as worksheets for assessing each practice.

 

 

Audience: Executive Director, Upper- and Middle- Management.
Duration: Completion of the data practices evaluation and drafting of a data management strategy through the guide’s workbook sections may be expected to take two to six months. This timeframe will vary greatly depending on internal structures and resources.

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