The Gdańsk University of Technology has been a member of the EOSC Association since September 2020. Over these several years, the following activities have been carried out within the EOSC structures: 

Data stewardship, curricula and career paths Task Force 

The Task Force Data stewardship, curriculum and career paths focus on the Data Steward's role and their core activities. This Task Force defines data stewardship job roles and curricula to ensure these are recognised and aligned across Europe and develops recommendations for potential career paths, taking into account appropriate recognition and rewards for data management activities. The task force actively engages with stakeholders and disseminates their work.  

One of the members is Magdalena Szuflita-Żurawska.
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Data practices in an interdisciplinary perspective - building good standards and universal solutions 

The project was funded through the second cross-disciplinary science adoption call under the EOSC Future project open calls. It was active from January 2023 to August 2023. The main assignment was specified the overview and challenges of data-sharing practices in four scientific disciplines – architecture, civil engineering, economics and natural language processing. The second part of the proposal was about preparing to implement the existing data repository of the Gdańsk University of Technology - MOST WIEDZY Open Research Data Catalogue into the EOSC Portal Catalogue and Marketplace as a data provider.
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Magdalena Szuflita-Żurawska's publication, "Connecting Disciplines: Strengthening Open Data Practices in the EOSC Marketplace", which is part of the "EOSC in practice stories" series, presents the project's experiences and challenges.
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FAIR-IMPACT Expanding FAIR solutions across EOSC 

One of the two support activities of the FAIR-IMPACT open call project aims to expand the use of FAIR-enabling solutions across the European Open Science Cloud (EOSC) and beyond. This activity was intended to help dataset providers self-assess the FAIRness level of their resources. To this end, FAIRness assessment tools and methods, including F-UJI, O'FAIRe and FOOPS, and methods such as the FAIR Data Maturity Model (FDMM) and "Ten simple rules for FAIR vocabularies" were made available to them. The objective for all participants was to maximise the FAIRness of their resources as expressed by the scores obtained using these tools. 

One of the participants was Magdalena Szufilita-Żurawska.
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