FAIR Data and open Science Cloud

Speaker
Faculty
International Institute of Social Studies
University
Oxford Department of International Development
Speaker
Faculty
Leiden-Delft-Erasmus
University
Leiden
Speaker
Speaker
Faculty
Leiden-Delft-Erasmus
Speaker
Faculty
Faculty / School
University
Tilburg University
Speaker
University
Zimbabwe University
Speaker
Faculty
International Institute of Social Studies
Speaker
Faculty
International Institute of Social Studies
Organisation
International Institute of Social Studies
Start date

Monday, 9 Mar 2020, 14:00

End date

Monday, 9 Mar 2020, 17:00

Room
Aula A
Spoken Language
English

Implications for research, knowledge sharing, governance and practice

Recent advancements in digital technology and computation, a large volume of data is generated instantly and at a very high speed. While this developments facilitates significant advancement in data science and  general use of technology (hardware and software) and applications for various solutions (communication, health, finance, agriculture, education and research), challenges remain with regards to issues around digital divide (between and within global geographical locations),  governance, security and privacy concerns. Access to data increasingly becomes a challenge due to the large volume of data, which is not possible to share, which is at the same remain inaccessible and not reusable due to the invisibility and fragmentation.

This calls for research attention to such concerns as making data FAIR (Findable, Accessible, Interoperable, and Reusable). Using the GO FAIR initiative, the GO FAIR Implementation Network Africa and the GO FAIR Ambassadors Implementation Network as models, we seek to explore how the latest technological advancements in data science can address the concerns under FAIR principles. We will look at the implications for research, knowledge sharing, governance and practice (policy, industry and society). To do so, we give attention such issues as distributed learning on federated data, Data stewardship competences, Scaling FAIR to industry and global goals (SDGs), how to make your data discoverable, data governance and computing for societies. 

 

Programme

14:00     Welcome Otieno Ong’ayo (Antony)

Opening Address by Rwandan Ambassador tbc

14:30     FAIR Data Idea and Implementation – Mirjam van Reisen

15:00     Digital Governance: The role of political, institutional and policy context - Otieno Ong’ayo (Antony)

15:30     Digital Culture: Dr Mia Stokmans, Professor Munyaradzi Mawere

16:00     Digital Health: Mariam Basajja

16:30     Digital Youth Employment: Professor Rolf van der Hoeven tbc

17:00    Closing Address by Professor Arjun Bedi – ISS tbc