Difference between revisions of "Close Cycle Data Management"

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This is about showing that data assets in PKC are self-referenced.
This is about showing that data assets in PKC are self-referenced.


#For categorizing and managing namespaces, use MediaWiki
#For learning management system features, Get Moodle and Gitea/Gitlab to be insertable or removeable from the functional list of PKC.
#For learning management system features, Get Moodle and Gitea/Gitlab to be insertable or removeable from the functional list of PKC.
#For behavioral data analytics: Get Matomo to work for all services.
#For behavioral data analytics: Get Matomo to work for all services.
#For authentication and authorization: Get Keycloak to work with all these services.
#For authentication and authorization: Get Keycloak to work with all these services.
#For source code control: Use Gitea or Gitlab services in PKC to host the source that we are building, with Nginx.
#For source code control: Use Gitea or Gitlab services in PKC to host the source that we are building
#For static page provision: Always use Nginx.
#For Browser-based development: All relevant source code should be editable by VS-Code server.
#For Browser-based development: All relevant source code should be editable by VS-Code server.


[[Category:PKC Workflow]]
[[Category:PKC Workflow]]

Revision as of 06:13, 31 May 2022

This is about showing that data assets in PKC are self-referenced.

  1. For categorizing and managing namespaces, use MediaWiki
  2. For learning management system features, Get Moodle and Gitea/Gitlab to be insertable or removeable from the functional list of PKC.
  3. For behavioral data analytics: Get Matomo to work for all services.
  4. For authentication and authorization: Get Keycloak to work with all these services.
  5. For source code control: Use Gitea or Gitlab services in PKC to host the source that we are building
  6. For static page provision: Always use Nginx.
  7. For Browser-based development: All relevant source code should be editable by VS-Code server.