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.

Data Asset Framework (DAF) Methodology
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

• Data
• Data Access
• Data Analysis
• Data Analytics
• Data Architecture
• Data Buffer
• Data Center
• Data Center Infrastructure
• Data Center Infrastructure Management (DCIM)
• Data Cleansing
• Data Compatibility
• Data Governance
• Data Integration
• Data Management
• Data Mining
• Data Monitoring
• Data Munging
• Data Portability
• Data Quality
• Data Reference Model (DRM)
• Data Security
• Data Transformation
• Data Visualization
• Data Warehouse