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 the FIN-CLARIAH user base promoting Open Science in data-intensive SSH research. We have guidance and study modules related to digital methods and best practices at various consortium … Read more

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 continuous monitoring of RI performance and evidence-based development of tools and protocols. The foreseen impact is that a careful analysis reveals critical points for the development of … Read more

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 are easier to manage and process for SSH scholars. The large datasets created in other work packages, which are of interest to a wide community of researchers, but have not … Read more

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 “7-star” linked data model. We currently have an LDF platform hosting datasets of different domains from, e.g., National Archives, Finnish Heritage Agency, Parliament of Finland, Finnish … Read more

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 a foreseen impact on developing methods, applications and tools, and they are increasingly recognized as a potential research object that allows large-scale statistical comparisons, albeit often only after … Read more

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 popularity when it comes to understanding thematic pathways and text recycling in unstructured document corpora by de- and re-constructing texts. Since TNA can be used for exploring all kinds of … Read more

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 the biggest transformations across contemporary media cultures is the proliferation of streamed audio-visual content with textual communication features. Online streams of both amateurs and professionals are changing the ways through … Read more

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 textual qualitative survey data that is a basic method for data collection in SSH. We currently have tools to analyse large-scale numeric survey data, but we also need tools to analyse … Read more

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 digitisation service of the National Archives of Finland in which the printed documents that are in the possession of State authorities and kept permanently or in long-term storage will be … Read more

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 as cultural heritage institutions and companies can easily deposit their data for research use will be piloted. The foreseen impact is to make large materials digitized by cultural heritage … Read more

DARIAH-FI: YLEISET KYSYMYKSET

DARIAH-KONTTORI:

CSC – Tieteen tietotekniikan keskus

Katri Tegel

DARIAH-FI OFFICE:

Jyväskylä University

Tanja Välisalo

DARIAH-FI OFFICE:

University of Eastern Finland

Paula Rautionaho

DARIAH-FI OFFICE:

University of Oulu

Marika Rauhala

DARIAH-FI OFFICE:

Aalto University

Eero Hyvönen

DARIAH-FI OFFICE:

Tampere University

Sanna Kumpulainen

DARIAH-FI OFFICE:

National Library of Finland

Johanna Lilja

DARIAH-FI OFFICE:

CSC – IT Centre for Science

Katri Tegel

DARIAH-KONTTORI:

Suomen Kansalliskirjasto

Johanna Lilja

DARIAH-FI: GENERAL

DARIAH-KONTTORI:

TampereEN YLIOPISTO

Sanna Kumpulainen

DARIAH-KONTTORI:

Helsingin yliopisto

Risto Turunen

DARIAH-KONTTORI:

Aalto-yliopisto

Eero Hyvönen

DARIAH-KONTTORI:

Oulun yliopisto

Marika Rauhala

DARIAH-KONTTORI:

Itä-Suomen yliopisto

Paula Rautionaho

DARIAH-KONTTORI:

Jyväskylän yliopisto

Tanja Välisalo

DARIAH-KONTTORI:

Turun yliopisto

Veronika Laippala

DARIAH-FI OFFICE:

University of Turku

Veronika Laippala