DARIAH-FI koostuu yhdestätoista työpaketista vuosina 2022–2023. Englanninkielisistä kuvauksista löydät työpakettiemme johtajat, osallistujat ja yhteistyökumppanit. Lisäksi kerromme lyhyesti kunkin työpaketin pitkän aikavälin kontribuutiosta ihmis- ja yhteiskuntatieteiden tutkimukselle.
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, dialects,
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 such
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
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
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
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 that has
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 (LDF) platform and its
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 data logs enables
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
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 grow and support