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.

 

 

Logistics 

Venue of course: Online through 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

Participant applications

Registration for participants opens:  4th May 2021

Registration for participants closes: 24th May 2021

Notification date for successful Applicants: 31st May 2021

 

 

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. 

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

Date

Session 1

(45 minutes)

Session 2  

(45 minutes)

Session 3  

(45 minutes)

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

Tuesday 

22 June 2021

Module1: Lecture

Module 2: L1

Module 2: L2

Faisal; Katherine & Verena

Wednesday

23 June 2021

Module 3: Lecture

Module 4: L1

Module 4: L2

Lyndon; Ayton & Ziyaad

Thursday   

24 June 2021

Module 5: Lecture

Module 5: FAIR Tutorial

 

Melek & Ziyaad

Friday  

25 June 2021

Module 6: Lecture

Module 6: DMP Tutorial

 

Faisal