Difference between revisions of "Data Asset Framework (DAF)"
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Latest revision as of 16:23, 14 March 2023
What is Data Asset Framework (DAF)?
The Data Asset Framework (DAF) provides a toolkit for organizations to identify their digital assets and assess how they are managed. Previously known as the Data Audit Framework, this tool guides the user through a DAF assessment. It is primarily useful for institutions, departments, or research groups starting to think about data management, and who need to prepare a register of their data assets.[1]
Data Asset Framework (DAF) Methodology[2]
DAF recommends a four-stage process:
- Stage 1 is for planning, defining the purpose and scope of the survey and conducting preliminary research.
- Stage 2 is about identifying what data assets exist and classifying them to determine where to focus efforts for more in-depth analysis.
- Stage 3 is where the information life cycle is considered to understand researchers’ workflows and identify weaknesses in data creation and curation practices.
- Stage 4 pulls together the information collected and provides recommendations for improving data management.
See Also