DARIAH-FI has eleven work packages (WPs) for the years 2022–2023. For each WP, we briefly describe its long-term impact which is the added value of the WP for the research infrastructure. Each WP has a leader and one or more participants from the consortium partners or collaborators. The WP leader and participants contribute to the work in the WP. Collaborators are test users providing feedback, evaluation and beta testing of the deliverables.
Leader: Veronika Laippala, University of Turku; Partners: CSC; Collaborators: JYU This WP provides infrastructure that allows processing noisy or otherwise non-standard data (e.g. historical language, dialects, spoken genres, and OCR
Leader: Johanna Lilja, University of Helsinki/National Library of Finland; Partners: CSC, UHEL/ARTS, UTU; Collaborators: NARC, JYU Development of a data ingestion pipeline where data providers such as cultural heritage institutions
Leader: Jari Ojala, Jyväskylä University; Partners: UHEL/SOC, CSC, UHEL/ARTS; Collaborators: NARC, TAU, UTU The foreseen impact is to provide infrastructure to better use the mass digitisation service of the National
Leader: Krista Lagus, University of Helsinki/SOC; Partners: CSC, JYU, UEF; Collaborators: UTU, TAU The foreseen impact is to provide infrastructure that enables better use of textual qualitative survey data that
Leader: Raine Koskimaa, Jyväskylä University, Collaborators: UEF, TAU The foreseen impact is to develop analysis methods for real-time chat in game play streams. One of the biggest transformations across contemporary
Leader: Kimmo Elo, University of Turku; Partners: AALTO; Collaborator: JYU Text network analysis (TNA) is a rather new approach in text mining, but has gained popularity when it comes to
Leader: Leo Lahti, University of Turku; Partners: UHEL/ARTS; Collaborators: UHEL/NLF, JYU Digital metadata collections are valuable for cataloguing and information retrieval. They provide structured data that has a foreseen impact
Leader: Eero Hyvönen, Aalto University; Partners: UTU, UHEL/ARTS; Collaborator: JYU The foreseen impact is to enable publishing Linked Open Metadata using the Linked Data Finland (LDF) platform and its “7-star”
Leader: Eetu Mäkelä, University of Helsinki/ARTS; Partners: UHEL/SOC, UTU, UEF, CSC; Collaborator: UHEL/NLF The foreseen impact is to provide subparts of large data sets that are easier to manage and
Leader: Sanna Kumpulainen, Tampere University; Partners: UHEL/ARTS, CSC; Collaborators: UHEL/NLF, UTU Keeping a close dialogue between users and developers of the infrastructure and collecting user data logs enables continuous monitoring
Leader: Sanna Kumpulainen, Tampere University; Partners: UHEL/ARTS, UTU; Collaborator: JYU The foreseen impact is to provide researcher education and guidelines on best practices helping to grow and support the FIN-CLARIAH