Difference between revisions of "Governance Framework"
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==Solutions== | ==Solutions== | ||
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| + | ===Data Governance=== | ||
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* [https://www.scc.ca/en/system/files/publications/SCC_Data_Gov_Roadmap_EN.pdf The Data Governance Roadmap] from the Standards Council of Canada.<blockquote>Standardization solutions will result in a higher quality of data and trust in access mechanisms, and ensure that tools being deployed are ethical, fair and lawful. It addresses 1. Quality, 2. Trust and 3. Ethics.</blockquote> | * [https://www.scc.ca/en/system/files/publications/SCC_Data_Gov_Roadmap_EN.pdf The Data Governance Roadmap] from the Standards Council of Canada.<blockquote>Standardization solutions will result in a higher quality of data and trust in access mechanisms, and ensure that tools being deployed are ethical, fair and lawful. It addresses 1. Quality, 2. Trust and 3. Ethics.</blockquote> | ||
| + | * Data governance is a term wide in scope with origins in information management, centring on best practices for data collection, storage, archiving and purging. Common elements of data governance include Collection, Privacy, Usage, Synthesis/Analysis, Control, Publication, Storage and Archiving/ Disposal. (from the SCC reference above.) | ||
==References== | ==References== | ||
[[Category: Privacy]] | [[Category: Privacy]] | ||
Revision as of 10:15, 7 July 2021
Full Title or Meme
An abstraction of a set of compliance conditions for an organization to functions.
Context
In the context of Identity Management, a Governance Framework deals primarily with Community and Privacy in the digital world.
Solutions
Data Governance
- The Data Governance Roadmap from the Standards Council of Canada.
Standardization solutions will result in a higher quality of data and trust in access mechanisms, and ensure that tools being deployed are ethical, fair and lawful. It addresses 1. Quality, 2. Trust and 3. Ethics.
- Data governance is a term wide in scope with origins in information management, centring on best practices for data collection, storage, archiving and purging. Common elements of data governance include Collection, Privacy, Usage, Synthesis/Analysis, Control, Publication, Storage and Archiving/ Disposal. (from the SCC reference above.)
