Noise-resistant NLP Models and Data
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,
Work Packages
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.
Increasingly Automated Ingestion of Material
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
AI Solutions to Better Use National Archives Mass Digitisation Services
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
AI Solutions to Better Use Textual Qualitative Survey Data
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
Developing Analysis Methods for Real-time Chats in Game Play Streams
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
Developing Analysis Methods for Text Network Analysis of Political Texts
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
Metadata Harmonization and Analysis
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
Linked Open Data Services
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
Subsetting Data, Detecting Bias and Noise
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
Evidence-based RI Development
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
Education and Dissemination
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