Description
Project "TODO – Twinning Open Data Operational", approved by Horizon2020 programme – Twinning, started with its activities in October 2019 and will be completed by March 2023.TODO project aims to leverage the interdisciplinary scientific excellence and innovation capacity of the University of Zagreb (UNIZG) in the field of open data to boost the supply and use of open government data in Croatia and beyond. Project partners are six faculties of the University of Zagreb - Faculty of Geodesy, Faculty of Electrical Engineering and Computing, Faculty of Organization and Informatics, Faculty of Law, Faculty of Transport and Traffic Sciences and Faculty of Agriculture – and Delft University of Technology (the Netherlands) and University of the Aegean (Greece). Coordinator of the project is Faculty of Geodesy, University of Zagreb led by Ana Kuveždić Divjak, PhD.
Within the project, around 40 scientists from partner universities collaborate within different activities and initiatives in the area of open data research. Numerous activities have been undertaken so far, including the organization of national open data conference, study visits, open data summer school, PhD trainings, starting MOOC on open data, etc.
Period | 28 Nov 2022 → 2 Dec 2022 |
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Event type | Conference |
Location | Zagreb, CroatiaShow on map |
Degree of Recognition | International |
Keywords
- Scientific Committee
Documents & Links
Related content
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Research output
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Assessing an open spatial data infrastructure from a user participation perspective: A qualitative exploratory research with OpenStreetMap
Research output: Contribution to conference › Abstract › Scientific
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Readiness-for-reuse of open government data for solving societal problems based on public participation: kindergartens in the City of Zagreb
Research output: Contribution to conference › Abstract › Scientific
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Open Data Developments, Opportunities and Challenges in Europe: Lessons learned from Open Data best practices in 2022
Research output: Contribution to conference › Abstract › Scientific
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Identifying Business Models of Open Data Intermediaries: A Review
Research output: Contribution to conference › Abstract › Scientific
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Open Spatial Data Infrastructure Active Learning and Teaching Methods in Practice
Research output: Contribution to conference › Abstract › Scientific