Giovanna Fontenelle

About the panel: Wikidata, Wikipedia's sister project, is a structured, linked-data knowledge base. In fact, it is the biggest Semantic Web platform humanity ever created, with over 50 million items and is being used by many, including AIs agents such as Alexa & Siri, as it's open and free. But it's also the biggest Open Educational Resources (OER) humanity created, and in-itself holds many learning opportunities, with the potential to completely transform the way we engage with data, consume knowledge, teach & learn. For example, in a click of a button one can query it and create a timeline to explore favorite Italian painters, women chemists along history, or historical events; Show all hospitals within a 50 km radius on an interactive map; Or show family trees and bubble charts of whatever interest you. In that, Wikidata allows us to not on [[Category:2019:Education submissions]] ly access very specific and relevant data we are looking for, but also *visualize* it in exciting and engaging new ways. Working with Wikidata in an educational context, whether it is a formal or informal education setting, can expose learners to a variety of issues and topics, such as - * Data modeling and ontological skills * Data completeness, knowledge gaps and biases * Data verification and manipulation * And Data preparation in cases of importing huge masses of data. These in turn help learners to develop "data literacy", in addition to all the well known benefits that stem from contributing to Wikipedia, such as digital skills, critical thinking & collaborative skills. But Wikidata is a fairly young project (6 and a half years old), and most academics, educators and researchers do not even know it exist. In actuality, academia is just taking its first steps exploring how Wikidata could be used in an educational context. This panel will host a discussion with educators and Wikimedians who are implementing Wikidata into the educational & academic curricula, focusing on ideas for successful integration, as well as exploring some of the benefits and challenges of doing that. About the panelists: * Shani Evenstein is an Israeli educator, lecturer, researcher and free knowledge advocate. In 2018 she opened the first course in the world to feature Wikidata at Tel Aviv University (TAU) and her PhD research at the School of Education focuses on Wikidata as a Learning Platform. * Lane Rasberry is [[:meta:Wikimedian in Residence Exchange Network|Wikimedian in Residence]] at the Data Science Institute at the University of Virginia. In this role he supports university faculty in using Wikidata to introduce concepts in data science, facilitates graduate student data science research on the Wikimedia platform, and contributes to the [[:meta:WikiCite|WikiCite]] project. * Dr Martin Poulter is the Wikimedian In Residence at the University of Oxford. *Will Kent is the Wikidata Data Program Manager at [http://wikiedu.org/ Wiki Education]. He facilitates courses (both online and in person) to teach new Wikidata editors. These courses provide training modules, assignments, and weekly meetings to explore a variety of Wikidata-related topics. Currently he is working to teach librarians how to edit Wikidata and share their collections.

Other people: Shani Evenstein João Alexandre Peschanski Ewan McAndrew Will Kent Daniel Mietchen Martin Poulter Éder Porto

The goal of the “Sum of All GLAMs” project, carried out by the [http://wikimedianobrasil.org Wiki Movement Brazil] in cooperation with [https://glam.opendata.ch/ OpenGLAM CH] is the creation and maintenance of a '''worldwide inventory of heritage institutions''' based on Wikidata that: # serves as a basis for various types of entries on Wikipedia and on Wikimedia Commons (infoboxes on various types of articles, etc.); # is used beyond the realm of Wikimedia projects; and # provides the foundation for the systematic description of heritage collections in Wikidata. The project covers the following aspects: * Ingesting data about heritage institutions from various countries (starting with Brazil and Switzerland, continuing with further countries from the OpenGLAM Benchmark Survey). *Carrying out data cleansing tasks on Wikidata and addressing data modelling issues. * Implementing Wikidata-driven infobox templates on various Wikipedias (providing visitor statistics to illustrate the impact). * Developing model items in Wikidata regarding various types of heritage institutions. * Getting institutions to complement their Wikidata entries (provision of instructions that will be developed in cooperation with heritage institutions). * Inviting the Wikipedia community to write/translate Wikipedia articles about heritage institutions (online and by organizing edit-a-thons or similar events, involving both Wikipedians and members of the heritage community). * Documenting and disseminating model projects to be rolled out in various countries and on different Wikipedia language versions (exchange with the FindingGLAMs project; documentation on Wikidata). * Monitoring data completeness and data quality on Wikidata (country comparisons over time). In order to bootstrap the inventory, a model project is currently implemented in Brazil that will be rolled out in other countries over the coming years. The session is primarily meant to facilitate this further implementation of the project. It is thus intended for people who would like to learn what to expect from the project, to provide feedback and to explore how they could join the effort. '''The session consists of two parts:''' In the '''first part''', the current state of implementation of the inventory will be presented, along with the model project that has been developed by the Wiki Movement Brazil in cooperation with OpenGLAM CH. Questions of clarification or understanding will be addressed. In the '''second part''', we will hold a workshop where we will solicit inputs from the participants regarding their possible participation in the project. Group discussions will be held among varying contributor types (national coordinators; Wikidata contributors; GLAM representatives; etc.) who will be asked to brainstorm the success factors of their participation as well as possible challenges and how to address them.

Other people: Beat Estermann John Andersson

This session includes a brief introduction to GLAM and key GLAM contributors from the [[2019:GLAM|GLAM space]] organizers. Two mini keynotes covering current projects and timely topics in GLAM will be presented by Giovanna Fontenelle of Wiki Movement Brazil and Lydia Pintscher, Product Manager for Wikidata.

Other people: Éder Porto