The VODAN Africa Training the Trainers

Fighting the COVID-19 with FAIR Data

About VODAN


About VODAN
What is the Virus Outbreak Data Network (VODAN)?
VODAN is a GO FAIR Implementation Network set up to help fight the COVID-19 Corona virus, that is causing a worldwide epidemic. The Implementation Network VODAN is a step to establish the Internet of FAIR Data and Services.

FAIR stands for human and machine-readable digital data objects that are Findable, Accessible, Interoperable and Reusable. Accessibility is fully compliant with regulatory and governance frameworks, including personal data protection and ethical considerations based on the principle to Do no Harm.

Making data and metadata FAIR ensures that these data are discoverable on the Internet of FAIR Data and Services. Central tot his approach is the establishment of FAIR Data Points (FDPs), for COVID-19 relevant digital data objects. Opening up FAIR (meta)data by publishing them on a FDP allows algorithms to search these (meta)data, looking for patterns. The Internet of FAIR Data and Services is a distributed data discovery network; data are NOT moved, but algorithms going over the internet can find the data.

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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Institutional Support for VODAN-Africa


Special Events


GAIC PhD exchange with LUMC

On Monday 6 July, 2010, between 13.00 - 14.45 (Dutch time), a selected group of researchers and PhD candidates held a seminar focused on FAIR-Data in the context of COVID-19.

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VODAN-Africa News


  • 07/07/2020 03:00 PM
  • Online Event

During this workshop, we took a deeper look into the nine (9) components of the Fair Data Points (FDPs). These components guide the configuration of the FDPs.

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  • 06/30/2020 03:00 PM
  • Online Event

Here we explored the configuration of the VODAN Africa Fair Data Points. The technical session was anchored by Dr Erik Schultes, the International Science Coordinator, GO FAIR International Support and Coordination Office.

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  • 06/23/2020 03:00 PM - 06/23/2020 04:00 PM
  • Online Event

The 9th webinar for the Metadata For Machines Weekly Workshop will be held on Tuesday, June 23rd, 2020 at 2 pm CEST & CAT/1 pm WAT & CET/3 pm EAT.

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  • 06/16/2020 03:00 PM - 06/16/2020 04:00 PM
  • Online Event

The 8th webinar for the Metadata For Machines Weekly Workshop will be held on Tuesday, June 16th, 2020 at 2 pm CEST & CAT/1 pm WAT & CET/3 pm EAT.

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  • 06/09/2020 03:00 PM - 06/09/2020 04:00 PM
  • Online Event

7th webinar for the Metadata For Machines Workshop on Tuesday June 9th, 2020 at 2 pm CEST. Online pre-registration is available below

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  • 06/02/2020 03:00 PM - 06/02/2020 04:00 PM
  • Online Event

6th webinar for the Metadata For Machines Workshop on Tuesday June 2nd, 2020 at 2 pm CEST.

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  • 05/26/2020 03:00 PM - 05/25/2020 04:00 PM
  • Online Event

5th webinar for the Metadata For Machines Workshop on Tuesday May 26th, 2020 at 2 pm CEST.

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  • 05/21/2020 07:00 PM - 05/21/2020 08:00 PM
  • Online Event

This week May 21st, 2020, VODAN Africa cordially invites you to attend the third and final webinar of the VODAN Africa 3–part web series at 9 AM PDT/12 PM EDT/6 PM CEST/7 PM EAT.

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  • 05/14/2020 07:00 PM - 05/14/2020 08:00 PM
  • Online Event

This week Thursday, we have the second webinar of the VODAN Africa three-part series with speakers from Ethiopia and Kenya delving into topics such as; • The role of data science and data stewardship related to COVID-19 in Ethiopia • Social distancing in slums and how VODAN-Africa can contribute to understanding uneven effects and serve data-driven policies. Save The Date for May 14th, 2020 at 9 AM PDT/12 PM EDT/6 PM CEST/7 PM EAT to catch the presentations from the two country teams

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  • 05/12/2020 03:00 PM - 05/12/2020 04:00 PM
  • Online Event

M4M week 3 will focus on a review of the metadata ideas sketched from the last session. Participants will have an opportunity to voice comments and ask questions as they begin the process of consensus-building towards a metadata standard for the VODAN FAIR Data Points. Please note registration closes May 11th, 2020 at 3 pm CET/ 4 pm EAT. The zoom link follows after the close of registration. Have a great weekend everyone

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  • 05/07/2020 07:00 PM - 05/07/2020 08:00 PM
  • Online Event

On Thursday 07 May 2020, we launch a new three-part series hosted by VODAN Africa in partnership with Kampala International University (KIU), Leiden University, Leiden Institute of Advanced Computer Science, GO FAIR US/San Diego Supercomputer Center, and RavelWorks Africa.

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  • 05/05/2020 03:00 PM - 05/05/2020 04:00 PM
  • Online Event

The second session from the Metadata for Machines (M4M) weekly webinar series is next week Tuesday, May 5th, 2020 at 2 pm CET. Presented by Erik Schultes, who will be reviewing the nine components of metadata. See attached poster announcement.

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  • 04/28/2020 03:00 PM - 04/28/2020 04:00 PM
  • Online Event

Metadata for Machines Workshop (M4M), Tuesday April 28th, 2020 with Erik Schultes, International Science Coordinator of Go Fair.

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  • 04/22/2020 07:00 PM - 04/22/2020 08:00 PM
  • Online Event

VODAN-Africa Webinar Series-4 hosted by Christine Kirkpatrick of the San Diego Supercomputer Centre (SDSC).

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  • 04/21/2020 03:00 PM
  • Online Event

The inaugural weekly VODAN-Africa meeting is scheduled for Tuesday 21 April 2020 at 14:00 CET (Nigerian/Zimbabwe/Netherlands -2.00pm, Uganda/Kenya/Ethiopia -3.00pm).

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  • 04/15/2020 07:00 PM
  • Online Event

In a two part session hosted by Christine KirkPatrick of SanDiego Supercomputer Centre, Albert Mons and Luiz Bonino gave an insightful presentation on "VODAN: FAIR Data in action". In the 2nd session, Sergio Baranzini and Sharat Israni (University of California, San Francisco) did an expose on "The SARS-Cov-2-SPOKE Molecular Explorer: A Public Knowledge Graph Visualization Tool."

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  • 04/08/2020 07:00 PM
  • Online Event

Prof Mirjam Van Reisen, the Global Coordinator VODAN Africa gave an outstanding presentation on the Data Stewardship Training of Trainers (ToT) programme. Click to read more...

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Repositories


Metadata for Machine Workshop (M4M) Workshop Series

All the presentation slides and recordings for the Metadata for Machine Workshop are available here

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Presentation Slides

All the ToT Presentation slides are available here

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Webinar Videos

The recordings of all VODAN-Africa Webinars are available here

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Training Documents

All training Documents are available here

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Training Videos

All training videos are available here

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Technical Instructions

All technical instructions can be accessed through here

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Communications

All Communications Documents on the VODAN Africa Project are available here

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VODAN Africa Webinar at San Diego Super Computer Center

All the presentation slides and recordings from the VODAN Africa webinar hosted by the San Diego Supercomputer Center (SDSC) are available her

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VODAN-Africa In the News


The duo of Francisca Oladipo and Mirjam van Reisen, describes the VODAN Africa mid-term journey in the GO FAIR newsletter

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Mekelle University in Tigray region of Northern Ethiopia takes to their website to announce their partnership in the Virus Outbreak Data Network Implementation Network for Africa

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The Vice-Chancellor of KIU, Dr. Mohammed Mpezamihigo was a guest at the NBS breakfast show on 04/16/2020 where he spoke about the KIU support for VODAN-Africa and his roles as the Chair of the Implementation network for VODAN-Africa

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The Vice Chancellor of KIU discusses the University's adoption of eLearning to keep the University running during the COVID-19 lockdown

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The Vice-Chancellor of KIU, speaks about the VODAN-Africa initiative

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IDN -indepthnews "The public research university in the Netherlands has joined universities in Uganda, Kenya, Tanzania, Ethiopia, Nigeria and Zimbabwe in the Virus Outbreak Data Africa Network (VODAN) FAIR Data initiative."

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Computer scientists across the continent collaborate to establish connected data to strengthen analytics to fight COVID-19

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The GO FAIR Foundation, Kampala International University and the Philips Foundation have teamed up in an effort to enable distributed access to the critical data needed from Africa to fight and contain the COVID-19 pandemic.

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Some experts believe that the EU's current approach to data collection may be missing an opportunity to fight the coronavirus outbreak

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Vocabulary


Further Reading


  • Constituent article on the FAIR Guiding principles
Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3, 160018 (2016). https://doi.org/10.1038/sdata.2016.18
https://www.nature.com/articles/sdata201618
  • FAIR Special Data Intelligence, MIT:
http://www.data-intelligence-journal.org/
  • Internet of FAIR Data and Services:
https://www.go-fair.org/resources/internet-fair-data-services/
  • Virus Outbreak Data Network (VODAN):
https://www.go-fair.org/implementation-networks/overview/vodan/
  • Implementation Networks:
https://www.go-fair.org/implementation-networks/
  • Response scenarios:
https://www.imperial.ac.uk/media/imperial-college/medicine/sph/ide/gida-fellowships/Imperial-College-COVID19-NPI-modelling-16-03-2020.pdf
  • A FHIR RDF dataset for COVID-19 research: a dataset of 13202 journal articles.  This dataset extends the CORD-19 dataset (on which it is based) by adding several semantic annotations. 
https://github.com/fhircat/CORD-19-on-FHIR
  • WHO Data base articles on COVID-19
https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov
  • Real-time detailed map
https://coronavirus.jhu.edu/map.html

Links by John Graybeal from CEDAR
* CEDAR Web site: https://metadatacenter.org
* References: https://metadatacenter.org/references
* Making Metadata with CEDAR: https://www.youtube.com/watch?v=Inyf5hOCwAU
* Publishing Metadata with CEDAR: https://www.youtube.com/watch?v=1HnHmihzEdQ
* CEDAR COVID instance example in OpenView: https://bit.ly/openview-covid-metadata-example
* CEDAR COVID instance example in CEDAR: https://bit.ly/cedar-covid-instance-example
* CEDAR COVID template in OpenView: https://bit.ly/openview-covid19-template
* CEDAR COVID template: https://bit.ly/cedar-covid19-template
* Application: https://cedar.metadatacenter.org

Partners


Philips Foundation

About Philips Foundation

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GO FAIR Foundation

About GO FAIR Foundation

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Data Science Nigeria

About Data Science Nigeria

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Kampala International University

About Kampala International University

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Mekelle University

Addis Ababa University

Great Zimbabwe University

Moi University

VODAN-Africa Who is Who


Mouhamad Mpezamihigo


Chair of Implementation Network

Vice-Chancellor of Kampala International University and the Chair of the Implementation Network (IN) for VODAN Africa

Francisca Oladipo


Executive Coordinator

Professor of Computing and Director Research at Kampala International University

Mirjam van Reisen


Global Coordinator

Professor of Computing for Society at Leiden University; Chair International Relations, Innovation and care at Tilburg University; Member of the Advisory Council on International Affairs, The Netherlands, Coordinator Research Network, Globalisation, Accessibility, Innovation and Care and Director and Secretary General of EEPA (Brussels)

Fredrick Obwanda


Project Manager

Executive Director, Africa Development Foundation

Mariam Basajja


Technical Coordinator

PhD Student at the Computer Science institute of Leiden University

Bayo Adekambi


Convener, Data Science Nigeria

Reginald Nalugala


Coordinator(Kenya)

Lecturer of Social Transformation at Tangaza University College, Grassroot Wellness Campaign Convener

Sakinat Tijani Folorunso


Coordinator(Nigeria)

Lecturer, Olabisi Onabanjo University, and convener, WiDS OOU

Araya Abrha Medhanyie


Coordinator(Ethiopia)

Associate Professor of Public Health and Head of the Research Center for Maternal, Adolescent, Reproductive and Child Health (MARCH), Mekelle University. Coordinator, the Digital Health Research and Development

Wondimu Ayele Manamo


Coordinator(Ethiopia)

Assistant Professor for Biostatistics and Health Informatics, Health Informatics Capacity Building and Mentorship Project Director at School of Public Health in Addis Ababa University

Getu Tadele Taye


Coordinator(Ethiopia)

Lecturer, Department of Health Informatics and Data Scientist in the Digital Health Research and Development Center at School of Public Health, Addis Ababa University

Mariem Ghardallou


Coordinator, Tunisia

Medical Doctor, Quality Healthcare Expert and Associate Professor, College of Medicine, University of Sousse, Tunisia