About VODAN Africa


VODAN Africa is the Africa Implementation Network of Universities and Hospitals in Uganda, Ethiopia, Nigeria, Kenya, Tunisia and Zimbabwe; as well as Professors and graduate students from the University of Leiden supported by the GO FAIR Foundation. The initiative is funded by the Philips Foundation to enable distributed access to the critical data needed from Africa and the rest of the world to fight and contain the COVID-19 pandemic. The Virus Outbreak Data Africa Network will ensure that medical data are discoverable by computers and accessible under governance regulations. Data will not be displaced as data are visited by the algorithms based on the access accorded to the data by data stewards. 

The Implementation Network for Africa is chaired by the Vice-Chancellor of Kampala International University, Dr. Mouhamed Mpezamihigo. Other partner universities include Moi University, and Tangaza University in Kenya; the Great Zimbabwe University, University de Sousse, Tunisia, and Olabisi Onabanjo University, Nigeria; Mekelle University and the Addis Ababa University in Ethiopia.

The first step is the virtual Training for Trainers trajectory, free of charge and online on virtual platforms where data analysts will be guided to establish FAIR Data Points, to ensure data are linked and useable for global corona-relevant analytics, followed by AI powered data analytics.

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This Training of Trainers (ToT) is set up to provide support to data stewards so that they can help combat the COVID-19 pandemic.

The first course will focus on awareness, and include subjects like: what does FAIR data stewardship entail? What are FAIR data? What is a Semantic Data model? What is a FAIR Data point?

This will be followed by a course how to set up a FAIR data point. Other courses will follow shortly.

The training sub objectives are to:

  • Help prepare ministries and institutions for publishing FAIR (meta)data regarding the pandemic;
  • Ensure that universities and institutions with medical data have capacities to assist the navigation of the crisis with quality data;
  • Ensure that data stewardship is carried out under strict adherence to the governance and regulatory framework of the country and institution where the data belong;
  • Enable data to be analysed in combination with data available globally;
  • Ensure quality data for AI solutions to help deal with the pandemic.
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The training is intended for data scientists and computer scientists, working in connection for medical and health service providers, the Ministry of Health, and other relevant institutions and companies.

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This training for trainers can be organized in all countries, but focusses for the moment particularly on Africa and Asia.

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The Training of Trainers course is set up in such a way that participants can follow the training online, with maximum flexibility.

The course is provided and set up by the experts of the GO FAIR International Support and Coordination Office (GFISCO).

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The ToT is set up in such a way that participants can follow the training on-line, with maximum flexibility.

The Training is provided and set up by the experts of the GO FAIR International Support and Coordination Office (GFISCO)

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The participants of the ToT will be able to receive assistance from the Technical Support Team who are students in Computer Science/Data Science of Leiden Institute of Computer Science: Mariam Basajja Uganda (coordinator, PhD candidate), Kudakwashe Chindoza, Zimbabwe (PhD aspirant candidate), Aliya Aktau, Kazakhstan, (master student), Putu Hadi, Indonesia (master student) and QiQi Zhang, China (master student).

The Technical Support Team is backed by the Senior Supervision Team, faculty in Computer Science/Data Science.



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Implementation Networks help build, train and also deploy the Internet of FAIR Data and Services.

  • Virus Outbreak Data Network (VODAN): Implementation Network on COVID-19
  • Implementation Network Ambassadors: Introduction and training of new participants
  • Implementation Network Africa: Introduction of participants in Africa-specific reality
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The participants of the training are invited to participate via different mediums (WhatsApp, ORCID, OSF and INs).

The training modules will be provided in accessible format for participants with low bandwidth.

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