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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]]<br />
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*[[IT Governance]]
[[Data Access]]<br />
 
[[Data Analysis]]<br />
 
[[Data Analytics]]<br />
 
[[Data Architecture]]<br />
 
[[Data Buffer]]<br />
 
[[Data Center]]<br />
 
[[Data Center Infrastructure]]<br />
 
[[Data Center Infrastructure Management (DCIM)]]<br />
 
[[Data Cleansing]]<br />
 
[[Data Collection]]<br />
 
[[Data Compatibility]]<br />
 
[[Data Consolidation]]<br />
 
[[Data Deduplication]]<br />
 
[[Data Delivery Platform (DDP)]]<br />
 
[[Data Description (Definition) Language (DDL)]]<br />
 
[[Data Dictionary]]<br />
 
[[Data Discovery]]<br />
 
[[Data Driven Organization]]<br />
 
[[Data Element]]<br />
 
[[Data Enrichment]]<br />
 
[[Data Entry]]<br />
 
[[Data Federation]]<br />
 
[[Data Flow Diagram]]<br />
 
[[Data Governance]]<br />
 
[[Data Health Check]]<br />
 
[[Data Hierarchy]]<br />
 
[[Data Independence]]<br />
 
[[Data Integration]]<br />
 
[[Data Integration Framework (DIF)]]<br />
 
[[Data Integrity]]<br />
 
[[Data Island]]<br />
 
[[Data Item]]<br />
 
[[Data Lake]]<br />
 
[[Data Life Cycle]]<br />
 
[[Data Lineage]]<br />
 
[[Data Loss Prevention (DLP)]]<br />
 
[[Data Management]]<br />
 
[[Data Migration]]<br />
 
[[Data Minimization]]<br />
 
[[Data Mining]]<br />
 
[[Data Model]]<br />
 
[[Data Modeling]]<br />
 
[[Data Monitoring]]<br />
 
[[Data Munging]]<br />
 
[[Data Portability]]<br />
 
[[Data Preparation]]<br />
 
[[Data Presentation Architecture]]<br />
 
[[Data Processing]]<br />
 
[[Data Profiling]]<br />
 
[[Data Proliferation]]<br />
 
[[Data Propagation]]<br />
 
[[Data Protection Act]]<br />
 
[[Data Prototyping]]<br />
 
[[Data Quality]]<br />
 
[[Data Quality Assessment (DQA)]]<br />
 
[[Data Quality Dimension]]<br />
 
[[Data Quality Standard]]<br />
 
[[Data Reconciliation]]<br />
 
[[Data Reference Model (DRM)]]<br />
 
[[Data Science]]<br />
 
[[Data Security]]<br />
 
[[Data Stewardship]]<br />
 
[[Data Structure]]<br />
 
[[Data Structure Diagram]]<br />
 
[[Data Suppression]]<br />
 
[[Data Transformation]]<br />
 
[[Data Validation]]<br />
 
[[Data Value Chain]]<br />
 
[[Data Vault Modeling]]<br />
 
[[Data Virtualization]]<br />
 
[[Data Visualization]]<br />
 
[[Data Warehouse]]<br />
 
[[Data Wrangling]]<br />
 
[[Data and Information Reference Model (DRM)]]<br />
 
[[Data as a Service (DaaS)]]<br />
 
[[Database (DB)]]<br />
 
[[Database Design]]<br />
 
[[Database Design Methodology]]<br />
 
[[Database Management System (DBMS)]]<br />
 
[[Database Marketing]]<br />
 
[[Database Schema]]<br />
 
[[Database System]]<br />
 
 
</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