Data ingestion
Leader: Päivi Maria Pihlaja University of Helsinki / National Library of Finland (UHEL/NLF); Partners:Aalto, UOULU, JYU, UHEL/ARTS, UHEL/SOC; Collaborator:CSC The foreseen impact of the WP is to improve the infrastructure
Work Packages
DARIAH-FI has the following goals for the years 2024–2025:
1. Upgrade tools for SSH research for processing unstructured text.
2.To facilitate research in audio-visual culture by processing metadata.
3.To support transformer technology uptake among SSH researchers.
The Work Packages listed here describe how DARIAH-FI will improve its capabilities to ingest, enrich and support analysis of diverse types of data, particularly images and multimodal data and to engage research communities utilising this data. 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.
1. Upgrade tools for SSH research for processing unstructured text.
2.To facilitate research in audio-visual culture by processing metadata.
3.To support transformer technology uptake among SSH researchers.
The Work Packages listed here describe how DARIAH-FI will improve its capabilities to ingest, enrich and support analysis of diverse types of data, particularly images and multimodal data and to engage research communities utilising this data. 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.
Data enrichment
Leader: Veronika Laippala, University of Turku; Participants: UEF, JYU, UOULU, UHEL/ARTS, UHEL/SOC, Aalto; Collaborator: UHEL/NLF The foreseen impact of the WP is to enable the systematic and detailed analysis of
Data Management
Leader: Martin Matthiesen, CSC – IT Center for Science; Partners: UHEL/ARTS; Collaborators:UHEL/NLF, NARC, JYU The foreseen impact is a significant upgrade of the data management, versioning and workflow automation capabilities
Analytical support for computational social sciences and humanities
Leader: Mikko Laitinen, University of Eastern Finland; Participants: JYU, UOULU, UHEL/SOC; Collaborator: UHEL/NLF The foreseen impact of this WP is that it enables researchers to utilise large born-digital data effectively
Information Interaction and Evidence-Based Infrastructure development
Leader: Sanna Kumpulainen, Tampere University; Participants: UHEL/ARTS; Collaborators: UHEL/NLF, UTU, CSC Information Interaction (IIA) means to collect information on how researchers interact with the RI in order to design and