Revision as of 06:31, 8 February 2022

The data content to be managed by MU participants will be compliant with MU's classification scheme of private and public data namespaces.
The methods, tools, and applications of MU data management practices will be explicitly written in data represented in PKC-based data storage systems.
Different instances of PKC data containers will co-exist in a public data-exchange infrastructure, such as the Internet, even the Darknet, to enable automated data transaction activities to take place.

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-# Explicitly separate private and public data spaces, offer content and skills. satisfy data content privacy, avaiability, and content accountability/irrefutability based on publicly known data verification/protection mechanisms
+# The data content to be managed by [[MU]] participants will be compliant with [[MU]]'s classification scheme of private and public data [[namespace]]s.
-# Using methods and tools to accelerate data content refinement efforts, enable continuous improvement of knowledge dissemination through effective data publishing and exchange services
+# The methods, tools, and applications of [[MU]] data management practices will be explicitly written in data represented in [[PKC]]-based data storage systems.
-# Devising a set of public infrastructure to enable objective data transaction services, evolve a sustainable governance model that allow continuous refinement and inclusion of verifiable data asset.
+# Different instances of [[PKC]] data containers will co-exist in a public data-exchange infrastructure, such as the [[Internet]], even the [[Darknet]], to enable automated data transaction activities to take place.
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Difference between revisions of "Meta University/Criteria"