Course Overview:

The Research Data Management (RDM) short course will introduce the principles and practices of RDM and provide practical advice for implementing these practices in an African research context. Topics covered will 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 Data Management Plan.

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

Skill level of training: Beginner

Language: The course and materials are offered in English

Type of training: Online

Venue of course: Zoom.

Dates for the course: 22-25 June 2021; from 10:00 CAT to 14:00 CAT.

Course organisers: 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

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. 

Applications are now closed

Training materials availability: Training materials for this course are not currently available.

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

(45 minutes)

Session 2  

(45 minutes)

Session 3  

(45 minutes)

Interactive hour with Instructor/s (1:00-2:00PM CAT)


22 June 2021

Module1: Lecture

Module 2: L1

Module 2: L2

Faisal; Katherine & Verena


23 June 2021

Module 3: Lecture

Module 4: L1

Module 4: L2

Lyndon; Ayton & Ziyaad


24 June 2021

Module 5: Lecture

Module 5: FAIR Tutorial


Melek & Ziyaad


25 June 2021

Module 6: Lecture

Module 6: DMP Tutorial




 Training Materials Availability:

Training materials for this training will be loaded to the website shortly.