What? Wikidata technical training to learn how to query Wikidata with SPARQL, how to implement tools for Wikidata, how to invoke the API to code your own app, how to code a bot, how to import and link data, how to analyse Wikidata dumps, how to set up your own Wikibase, and possibly how to work effectively with MediaWiki extensions. It is an extended version of the Wikidata Zurich workshop (2017) and the Wikidata Zurich Datathon (2018). We will have hands-on sessions and we will give attendees the chance to practice what they learn with live coding and Q&A.
Where? University of Zurich. UZH Main Building in the center. Address: Karl Schmid-Strasse 4, 8006 Zürich. Rooms KO2 F-150, KO2 F-151, KO2 F-152 (https://www.plaene.uzh.ch/KO2/room/KO2-F-150).
When? Saturday November 2nd, Sunday November 3rd. On Friday November 1st we will have an informal community gathering in the evening for whoever is around and would like to join. Please write an email to ilario.valdelliwikimedia.ch in case you would like to join before Thursday 31.10.2019
Languages? English will be used for the presentations. We are also happy to discuss in German and/or Spanish.
Audience? Anyone willing to learn all the details about Wikidata. Some programming and database knowledge will certainly be helpful.
How to prepare in advance? We will publish materials in advance. In the meantime, please check Wikidata's documentation here.
Free registration Please register via EventBrite here.
Accommodation Wikimedia CH has made reservations and will cover hotel fees for those needing accommodation in Zürich on Friday 1st or/and on Saturday 2d, please write to ilario.valdelliwikimedia.ch or to flor.mechainwikimedia.ch.
Food food and drinks are provided in the event.
Childcare If you will be employing a babysitter in order to be able to attend, Wikimedia CH can help cover the costs, please write to flor.mechainwikimedia.ch for details.
Sophox (Q55840137) – query service for OpenStreetMap. (Contrary to what was said during the presentation, it no longer contains Wikidata data as well, that’s why the example query was using SPARQL federation.)