- Title of session: Wikimedia LEADS a Learning Ecosystem and Ameliorating Data Space for the Wikimedia Movement
- Session description: This is a proposal for an ecosystem extending the Movement with new classes of knowledge and addressing sustainability needs. This would be implemented with libraries of practices, based in the SEMAT Essence standard and modeled as linked open data (LOD) with Wikibase, designs of credentials, also modeled as LOD and compatible with the European Learning Model. The concept would be implemented in the Wikimedia Movement as a development for the GLAM Wiki domain, used as development driver, and looking for synergy and extend current services, projects, needs and other knowledge domains. WM LEADS could see as an spin-off of the e Small GLAM Slam pilot 1 project.
- Username for contact: @Olea
- Session duration: This could be a 10 minute presentation
- Session type: presentation
- Language of session: English
- Prerequisites: none special
- Interested? Add your username below:
- slides: https://commons.wikimedia.org/wiki/File:20240503-Wikimedia_LEADS_a_Learning_Ecosystem_and_Ameliorating_Data_Space_presentation.pdf
- notes: https://etherpad.wikimedia.org/p/wmh2024-WM_LEADS
Notes from session:
Wikimedia LEADS a Learning Ecosystem and Ameliorating Data Space
Date and time: 03/05/2024 11:30
Relevant links
- Phabricator task: https://phabricator.wikimedia.org/T363570
*Pilot project on wiki: https://meta.wikimedia.org/wiki/Grants:Programs/Wikimedia_Community_Fund/Rapid_Fund/SMALL_GLAM_SLAM_Pilot_1_(ID:_22444585)
- Session slides:
- (any more?)
Presenter
@[[phab:p/Olea/|Olea]]
Participants
Notes
Towards a Very Small GLAM entities solution
who
very small GLAM enties user base
LaOficina Producciones Culturales
Funding from WMF
what
activity domain: Open/GLAM/Wiki
need to figure out how to manage
want to build an open source glam suite
wikibase with multimedia support
need to work locally now
server artciture [see if can get the svg]
metadata preload
ontologies
cidoc-crm
https://www.cidoc-crm.org/
ric-cm
technical documentation
spectrum-like
How
working with real archive
Question about how to do reporting and statitics
They are needed and need to figure out how to do the statistics
Wikimedia LEADS a Learning Ecosystem and Ameliorating Data Space