Course Overview: The Research Data Management (RDM) short course introduces the principles and practices of RDM and practical advice for implementing these practices in African research context. Topics covered include data discovery and re-use, data documentation and organization, data standards and Ontology, data storage and security, repositories and policies, FAIR & reproducibility and best practices in developing an effective DMP.

Intended Audience: The course is aimed at the graduate students and biomedical scientists who are currently working on clinical, genomics and bioinformatics projects in Africa.


Venue of course: Online through Zoom.

Dates for the course: 27-30 June 2022; from 10:00 CAT to 14:00 CAT.

Course organizers: Faisal Fadlelmola, Katherine Johnston, Verena Ras, Melek Chaouch, Lyndon Zass, Ziyaad Parker, Ayton Meintjes, Sumir Panji and Nicola Mulder

Participation: The course is available to any participant who is able to attend the Zoom sessions and the interactive hours with the course instructors for the days of the course.

Course Sponsors: H3ABioNet

Participant applications

Registration for participants opens:  4th April 2022

Registration for participants closes: 24th April 2022

Notification date for successful Applicants: 6th  June 2022

Link to participant application form: Click here


Course Curriculum:

Module 1: Data & research life cycle

Module 2: Curation, data types and privacy issues

Module 3: Standards, taxonomy & Ontology

Module 4: Preservation, repositories, security and policies

Module 5: FAIR & Reproducibility

Module 6: Data Management Plan (DMP)


Course Schedule:


Session 1

10:00-11:00am CAT

Session 2

11:00-12:00am CAT  

Session 3  

12:00-1:00pm CAT

Interactive hour with Instructor/s 

(1:00-2:00PM CAT)


27 June 2022

Module1: Lecture

Module 2: L1

Module 2: L2

Faisal; Katherine & Verena

Tuesday 28 June 2022

Module 3: Lecture

Module 4: L1

Module 4: L2

Lyndon & Verena;  Ayton and Ziyaad


29 June 2022

Module 5: Lecture

Module 5: FAIR Tutorial


Melek & Ziyaad


30 June 2022

Module 6: Lecture

Module 6: DMP Tutorial - Group A

Module 6: DMP Tutorial - Group B

Faisal; Ayton


Prerequisites: A basic background/understanding of biochemistry, molecular biology and/or genetics. Those with a computer science background with experience in bioinformatics are welcome to apply.

Objectives: After this RDM short course participants should be able to:

  1. Understand what research data management is;
  2. Recognize why research data management is necessary;
  3. Understand best practices and aspects for research data management; and
  4. Have knowledge of the RDM tools available at your institution and online.

Course limitations: This course will only provide a foundation for continued learning in research data management and will not teach any advanced RDM aspects.