About
WikiCite is an initiative by the Wikimedia Foundation and Wikimedia Germany aiming to bring together a community of volunteer contributors, librarians, software developers and researchers to build a central repository of sources, leveraging Wikidata, as well as tools and strategies to improve information quality and verifiability in Wikimedia projects.
In preparation for the WikiCite 2017 event, the organizing committee is starting work towards redesigning and streamlining the structure of documentation on sources in Wikidata and promote participation by existing and prospective community members.
Tasks
This is the parent task, subtasks are listed below and linked to respective tasks.
- Organize WikiCite prep work and get set up on phabricator
- create WikiCite tag and workboard
- create a coordination task (this task)
- Prepare a list of publication types in need of a well-defined data model in Wikidata (subtask: T165304)
- Draft a standardized template to enable the discussion and documentation of the data model of each publication type (subtask T165318)
- Improve the structure of Template:Bibliographical_properties
- Build the structure of a comparison table to facilitate the mapping of Wikidata bibliographic properties to existing source and citation templates across other Wikimedia projects (e.g. Wikipedia {{cite}} templates) as well as canonical bibliographic data models used in the librarian and scholarly metadata community. (subtask T165558)
- design an umbrella portal (e.g.: Wikiproject Sources or repurpose Wikidata:Sources), currently a redirect) to make existing WikiProjects focused on bibliographic metadata (WikiProject Books, WikiProject Periodicals, WikiProject Source Metadata) more easily discoverable and structured in a similar way. This could be drafted in the user namespace to make sure there can be a community discussion before we move it to the project namespace. (subtask T165656 T165673)
- seed the discussion on the above data modeling efforts, by engaging relevant community members to contribute in fleshing out missing data models, and expanding existing ones.