John Andersson

The WikiGap campaign’s intention is to reduce the gender gap on Wikipedia and hopefully make more women interested in editing encyclopedic articles. By highlighting prominent women in Wikipedia, the possibilities for an increased gender aware society in general are also improved. The guiding question for the workshop is “How do we get an increased commitment during WikiGap based on the experiences we gained when we worked with the campaign in 2018 and 2019?” The structure of the workshop will look like this: ;Part one. An initial presentation of WikiGap, will be held by Lina Eidmark from Swedish Ministry for Foreign Affairs and John Andersson representing Wikimedia Sverige. Lina and John will also clarify and highlight the connection between the Sustainable development goals and WikiGap. ;Part two Two or more organizers of a WikiGap event, and perhaps one of the participants from the WikiGap Challenge, will share their experience from the campaign and eventually the Challenge. ;Part three. We will collect the experiences from the whole assembly of how it was to organize WikiGap events and how they think they could have succeed even better. They will work with the following questions in groups: * Please identify and present: What are the most important success factors and challenges that you experienced during 2018 and 2019? Why where they success or challenges? * Do you think it would be a good idea expanding the campaign to include groups other than women to increase their visibility on Wikipedia? Please motivate your answer. * Do you believe that the online contest, the ''WikiGap Challenge'', was a good way to increase the interest and get an enduring commitment in the campaign? Why? Do you have any other suggestion? The last part of the workshop will include a presentation made by the group members and a final summary about suggestions and experiences, led by Lina and John.

Other people: Lina Eidmark

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 Giovanna Fontenelle

There is currently no worldwide database of the world's museums, archives and libraries and their collections. By collecting this data in one accessible place more people can learn about others' cultures, giving them new insights and tools to understand and participate in a global, information-rich world. The data will also be of use for the institutions themselves, helping them gain protection through visibility. In many natural and man-made disasters, cultural heritage institutions have suffered, and the lack of basic information (e.g. their location) has made emergency response more difficult. Furthermore, this unique database has the potential to let institutions in different countries find each other more easily and initiate new partnerships to share a more complete picture of the world with the general public. The thousands of cultural heritage institutions around the world are a key resource for the public, allowing them to identify where to create interest for knowledge and critical thinking and to find more information to develop an understanding of a topic and the world. A crucial task in any knowledge driven society. A necessary condition for the institutions to be able to reach their target audience is that clear and accessible information is available about the institutions and their collections. However, this is dependent on them being aware of these resources existing in the first place, something this project will help them with. GLAM institutions are also central partners for the Wikimedia movement as they are contributing to the work around free knowledge with unique materials, insights, expertise and visibility, to name a few. Better information about where the GLAM institutions are located and what collections they hold increase the possibilities for new and exciting partnerships. FindingGLAMs (https://meta.wikimedia.org/wiki/FindingGLAMs) is a project led by Wikimedia Sverige, UNESCO and the Wikimedia Foundation aimed at collating a worldwide open access database of cultural heritage institutions and their collections. The intention is to work with multiple other actors in the GLAM sector and with Wikimedia movement affiliates and volunteers. In order to make this information as useful as possible, we are working with Wikidata, a free and open database which is a sister site to Wikipedia. The data is structured, queryable and available under an open license, meaning it is not only easily shared on Wikipedia, but also accessible to external users. As a hub of machine-readable data, Wikidata is an invaluable resource for AI research and development, powering innovative tools and facilitating knowledge exchange on the web. The Wikimedia platforms offer an opportunity to fill this gap, as they give experts and volunteers an arena to collaborate, as well the means to reach audiences around the world – in their own language. Through training, documentation and case studies, we are empowering cultural heritage institutions to share their knowledge and participate in the data collection, facilitating partnerships between the institutions and Wikimedia organizations and volunteers around the world. Our crowdsourcing tool (https://tools.wmflabs.org/monumental-glam/) helps them contribute to Wikidata with their local knowledge, filling in the gaps in existing datasets. Through these events and activities we further the participants’ understanding of how knowledge and information are created, developed and maintained on Wikipedia. This work is building on great work by the wider community that has already added more that 80,000 institutions to Wikidata (millions are still remaining), and the work spearheaded by Wikimedia Switzerland to develop ways to structure data about GLAM institutions. We are laying the groundwork for long-term, sustainable collaboration between cultural heritage organisations and the Wikimedia movement – taking steps towards a world in which every single human being can freely share in the sum of all knowledge. But we need more people to be involved. We need to identify existing datasets and prepare them for mass uploads. For datasets that are not yet under a free license we need to convince the data owners to release it. We need to add missing data through crowdsourcing campaigns. We need to connect the uploaded data to the different Wikimedia projects. We hope that you will join us.

Other people: Alicia Fagerving

The importance and the extremely high usage of Wikipedia and the other Wikimedia projects have lead many organizations across the world to think about how they can contribute with information and knowledge, what their role could be in the free knowledge ecosystem and how they can become an active participant. Over the years, many millions of data items and media files have been contributed to Wikidata, Wikimedia Commons and other Wikimedia projects through collaborations between Wikimedia communities and external content partners. However, many potential partnerships are still untapped because of lacking technical infrastructure to support batch uploads and editing, analytics, data synchronization and more. This makes content partnerships difficult to access, especially for less well-resourced communities and content partners. Through the work in the [[m:FindingGLAMs|FindingGLAMs]] project and the [[c:Commons:Structured data|Structured Data on Commons]] project a number of identified problems have been identified and worked on. The aim has been to lay the groundwork for better tools for cultural partnerships. By using these case studies we will discuss what are the most commons problems encountered in the GLAM partnership workflow, and what technical resources are needed to solve them. We will highlight what sustainable and participatory paths we see moving forward and how the wider movement could and should be engaged and how the work can help empower them.

Other people: Sandra Fauconnier