“The Data Modelling Days is an online event designed for the Wikidata community and focusing on how we describe and organize data on Wikidata. During 3 days of discussions, workshops and social events, we will cover a broad range of modelling challenges and other tricky cases. This event offers a space for editors of all experience levels as well as data reusers to discuss, learn new tips and tools, work on Wikidata’s ontologies together and improve documentation and project pages….”
“Wikidata turns eleven! The project went live on 29 October 2012. Just like every year, we’re celebrating its birthday together in late October. On this page, you can discover how to contribute to the anniversary and participate in the celebrations….”
“Since October 2012, Wikidata has evolved a lot to become one of the most important open knowledge graphs, providing semantic knowledge about various topics in multiple languages. This effort includes the development of quality information for Biomedicine that can be reused for clinical decision support among other very important tasks.
In 2019, we conducted a research study to assess the coverage of health-related information in Wikidata and we found that it lacks support of various important types of information and that a significant set of biomedical relations has a limited precision and is not linked to references. Despite the use of crowdsourcing and human editing, the situation does not evolve as it should be. We needed a hack to change all the game.
MeSH Keywords as a valuable resource
MeSH (Medical Subject Headings) keywords play a pivotal role in the realm of biomedical knowledge representation, making them a valuable resource in various aspects of healthcare research and practice. It is composed of a heading providing the main topic of a research paper and a qualifier identifying the facet of the topic that is discussed by the paper….”
“WikidataCon 2023 will take place on October 28-29, 2023 – save the date! WikidataCon is a conference jointly organized by Wikimedia Germany and Wikimedia Taiwan that explores open data projects in East Asia. It’s a gathering that brings Wikidata enthusiasts together and encourages collaboration across boundaries, such as divergent fields of work, different cultural institutions, levels of education, research, and more. The event will be held in a hybrid format: An on-site event in Taipei will welcome participants from the region and broadcast sessions online. Everyone will be able to participate in the online event, which will include some contributions from the global Wikidata community….”
“You will be working with the team that develops and improves the software behind the Wikidata project. Wikidata is a free and open knowledge graph that can be read and edited by both humans and machines and is a part of the Linked Open Data Network. You will be developing open source software that puts user needs first and increases users’ satisfaction. Wikidata has the clear goal of giving more people more access to more knowledge and you will be part of that!”
“Wikidata has 10 years under its big belt; Wikibase, the free knowledge graph software that powers Wikidata, has been a product in its own right for almost half that time. But despite Wikidata’s footprint and Wikibase’s powerful functionality, the various API calls for both products have been shoehorned for almost all that time into the venerable Action API.
That state of affairs has recently changed—for the better. Starting in 2022, Wikimedia Deutschland began work on a Wikibase-specific REST API. Why? We saw a growing need to expose Wikibase’s functionality through a modern, RESTful, OpenAPI-compliant interface that’s fully dedicated to Wikibase. As of this writing, we’ve made a promising start and implemented a lot of basic calls already, as you can see in our OpenAPI documentation. If you’re running your own Wikibase, you can easily enable the new REST API for your Wikibase instance….”
“Since Dr Andrea Wallace and I began the Open GLAM survey in 2018, it has tracked galleries, libraries, archives and museums (GLAMs) making open access content available for re-use. It’s become the go-to reference for researchers, policy makers and practitioners working in copyright and digital cultural heritage collections. Today, it lists over 1600 institutions from 56 countries that have published open access data.
“We are delighted to announce that PhiloBiblon has received a two-year implementation grant from the Humanities Collections and Reference Resources program of the National Endowment for the Humanities to complete the mapping of PhiloBiblon from its almost forty-year-old relational database technology to the Wikibase technology that underlies Wikipedia and Wikidata. The project will start on the first of July and, Dios mediante, will finish successfully by the end of June 2025….”
“The Wikimedia Foundation, the nonprofit that operates Wikipedia, and the Wikimedia Endowment Board today announced the first recipients of grant funding from the Wikimedia Endowment, the long-term fund established in 2016 to support the future of Wikimedia sites. The initiatives that will receive grant funding include Abstract Wikipedia, Kiwix, Machine Learning, and Wikidata. The projects were selected for their ability to foster greater technical innovation on Wikimedia projects, crucial to keeping the sites relevant in a rapidly-evolving landscape….”
“For our team Wikidata for Wikimedia Projects, based in Berlin, we are looking for a permanent Senior Product Manager (m/f/d), full-time or part-time, as soon as possible….”
Abstract: Wikidata has been widely used in Digital Humanities (DH) projects. However, a focused discussion regarding the current status, potential, and challenges of its application in the field is still lacking. A systematic review was conducted to identify and evaluate how DH projects perceive and utilize Wikidata, as well as its potential and challenges as demonstrated through use. This research concludes that: (1) Wikidata is understood in the DH projects as a content provider, a platform, and a technology stack; (2) it is commonly implemented for annotation and enrichment, metadata curation, knowledge modelling, and Named Entity Recognition (NER); (3) Most projects tend to consume data from Wikidata, whereas there is more potential to utilize it as a platform and a technology stack to publish data on Wikidata or to create an ecosystem of data exchange; and (4) Projects face two types of challenges: technical issues in the implementations and concerns with Wikidata’s data quality. In the discussion, this article contributes to addressing three issues related to coping with the challenges in the specific context of the DH field based on the research findings: the relevance and authority of other available domain sources; domain communities and their practices; and workflow design that coordinates technical and labour resources from projects and Wikidata.
“Keen to try something with Wikidata! Got a crazy idea? Or a provocation? Or an idea that needs investigating?
Wikimedia Australia and Wikimedia Aotearoa New Zealand are offering two creative fellowships grants of $1000 (AUD) and one of $1000 (NZD) to curate a data set, develop a prototype or undertake an investigation using Wikidata. You will be matched with a Wikimedian who will mentor you throughout your project offering resources, feedback and support.
We are open to applicants from all backgrounds and skill levels, and support proposals that involve investigations. We are looking for proposals that are enthusiastic and innovative as opposed to requiring pre-existing technical skills.”
Abstract: In this article, we focus on the importance of open research information as the foundation for transparent and responsible research assessment and discovery of research outputs. We introduce work in which we support the open research information commons by enabling, in particular, independent and small Open Access journals to provide metadata to several open data hubs (Open Citations, Wikidata, Open Research Knowledge Graph). In this context, we present The OPTIMETA Way, a means to integrate metadata collection, enrichment, and distribution in an effective and quality-ensured way that enables uptake even amongst small scholar-led publication venues. We have designed an implementation strategy for this approach in the form of two plugins for the most widely used journal publishing software, Open Journal Systems (OJS). These plugins collect, enrich, and automatically deliver citation metadata and spatio-temporal metadata for articles. Our contribution to research assessment and discovery with linked open bibliographic data is threefold. First, we enlarge the open research information data pool by advocating for the collection of enriched, user-validated metadata at the time of publication through open APIs. Second, we integrate data platforms and journals currently not included in the standard scientometric practices because of their language or lack of support from big publishing houses. Third, we allow new use cases based on location and temporal metadata that go beyond commonly used discovery features, specifically, the assessment of research activities using spatial coverage and new transdisciplinary connections between research outputs.
Abstract: In the last years, several scientific digital libraries (DLs) in digital humanities (DH) field have been developed following the Open Science principles. These DLs aim at sharing the research outcomes, in several cases as FAIR data, and at creating linked information spaces. In several cases, to reach these aims the Semantic Web technologies and Linked Data have been used. This paper presents how the current scientific DLs in the DH field can provide the creation of linked information spaces and navigational services that allow users to navigate them, using Semantic Web technologies to formally represent, search and browsing knowledge. To support the argument, we present our experience in developing a scientific DL supporting scholars in creating, evolving and consulting a knowledge base related to Medieval and Renaissance geographical works within the three years (2020–2023) Italian National research project IMAGO—Index Medii Aevi Geographiae Operum. In the presented case study, a linked information space was created to allow users to discover and navigate knowledge across multiple repositories, thanks to the extensive use of ontologies. In particular, the linked information spaces created within the IMAGO project make use of five different datasets, i.e. Wikidata, the MIRABILE digital archive, the Nuovo Soggettario thesaurus, Mapping Manuscript Migration knowledge base and the Pleiades gazetteer. The linking among different datasets allows to considerably enrich the knowledge collected in the IMAGO KB.
“Wikidata went live on 29 October 2012 ; in 2022, we are celebrating 10 years of Wikidata together! Let’s organize celebration events all around the world. We are hoping to create a huge network of decentralized, local and community-led events, that could take place onsite or online, around October 2022. The goal of these birthday celebrations are to celebrate the achievements of the community, to bring people together, and also to talk about Wikidata to the rest of the world in order to get more people onboard. In various areas of the world, people get together to organize plenty of different birthday events: meetups, workshops, discussions, live streams, editing campaigns… You can have a look at the events calendar below to find events in your area….”