Mildred meets ATTX - increasing findability and accessibility of the research data using semantic broker

Authors & Affiliation

Pauli Assinen and Joonas Kesäniemi - Helsinki University Library


Main contributions of the poster are as follows:

Mildred project aims to update the research data infrastructure provided by the University of Helsinki for researchers. The project consists of five subprojects that deal with different aspects of the life cycle of research data. In this poster, we focus on subproject, which is responsible for building data publishing and metadata services. The goal is to make research data created and used by the researchers of University of Helsinki more open and reusable. There are already relevant data available, but it is distributed in various repositories and registries.

We are creating an organization specific dataset containing metadata about research data. The selected sources for data harvesting are EUDAT/B2SHARE, Etsin, and Zenodo. The new aggregated dataset is re-published for public consumption using DataCite metadata schema. Same dataset is also used by the search and discovery features of University of Helsinki Think Open site that highlights the open data at the University of Helsinki.

ATTX develops technology that can be used to implement this particular part of Mildred project's vision. ATTX develops cloud-based solution for building data brokers for ingestion, processing and dissemination of any kind of metadata using semantic web and linked data technologies (e.g. UnifiedViews). In Mildred’s case, the data broker works as an interoperability layer between external data sources and Think Open site, it also tracks and makes available provenance and license data, thus contributing to the re-usability of the harvested and generated data. Broker can also be extended to use data from other sources such as Finnish thesaurus and ontology service or OpenAIRE to enrich the data. ATTX project is funded as part of the National Open Science and Research Initiative.

Open Access, , Open Science, Open data