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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


References

  1. Defining Data Asset Framework (DAF) DataOne.Org
  2. Data Asset Framework (DAF) Methodology DCC