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Difference between revisions of "Data Asset Framework (DAF)"

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'''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.<ref>Defining Data Asset Framework (DAF) [https://www.dataone.org/software-tools/data-asset-framework-daf DataOne.Org]</ref>
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== Data Asset Framework (DAF)? ==
  
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'''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.<ref>Defining Data Asset Framework (DAF) [https://www.dataone.org/software-tools/data-asset-framework-daf DataOne.Org]</ref>
  
'''Data Asset Framework (DAF) [[Methodology]]<ref>Data Asset Framework (DAF) Methodology [http://www.dcc.ac.uk/resources/tools/data-asset-framework DCC]</ref>'''<br />
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DAF recommends a four stage [[process]]:
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'''Data Asset Framework (DAF) Methodology<ref>Data Asset Framework (DAF) Methodology [http://www.dcc.ac.uk/resources/tools/data-asset-framework DCC]</ref>'''<br />
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DAF recommends a four stage process:
 
*Stage 1 is for planning, defining the purpose and scope of the survey and conducting preliminary research.
 
*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 2 is about identifying what data assets exist and classifying them to determine where to focus efforts for more in-depth analysis.
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===See Also===
 
===See Also===
 
<div style="column-count:2;-moz-column-count:4;-webkit-column-count:4">
 
<div style="column-count:2;-moz-column-count:4;-webkit-column-count:4">
*[[Data]]
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*[[IT Governance]]
*[[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]]
 
 
</div>
 
</div>
  

Revision as of 17:50, 12 January 2023

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