Governance Framework

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Full Title or Meme

An abstraction of a set of compliance conditions for an organization to functions.


The essential problem with the Internet is the assumption that people left to their own private impulses will do good. The reality of a lack of governance is clear in those spaces where there is no control over peoples actions. Those spaces always are reduced to the primal behavior of greed and nastiness of one for the other. People even create automated robot entities (bots) to roam the web causing disruption and thievery.

  • From the article in Wired Howe to Govern the Metaverse and in the book Snow Crash [1] by Neal Stephenson we are taught that "to build healthy communities in virtual reality, we must move beyond automated penalties toward proactive forms of governance. Games can show us how. Right now, one of the most common forms of governance in virtual worlds is a reactive and punitive form of moderation. Which is a primal reaction in its own right and has been shown over the centuries to be inadequate. The internet is still operating like the American west in in 19th century. In fluid, globalized online communities, it’s difficult to know how to adequately identify suspects and determine jurisdiction. Now, with Facebook predicting the coming metaverse and the proposal to move our work and social interactions into VR, the importance of dealing with harmful behaviors in these spaces is drawn even more sharply into focus. Researchers and designers of virtual worlds are increasingly setting their sights on more proactive methods of virtual governance that not only deal with acts like virtual groping once they occur, but discourage such acts in the first place while encouraging more positive behaviors too." [edited for brevity]


In the context of Identity Management, a Governance Framework deals primarily with Community and Privacy in the digital world.


Data Governance

  • The Data Governance Roadmap from the Standards Council of Canada (SCC).
    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.)


  1. Neal Stephenson, Snow Crash ISBN 978-0553380958