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.
Logistics
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:
|
Date |
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) |
|
Monday 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 |
|
Wednesday 29 June 2022 |
Module 5: Lecture |
Module 5: FAIR Tutorial |
Melek & Ziyaad |
|
|
Thursday 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:
- Understand what research data management is;
- Recognize why research data management is necessary;
- Understand best practices and aspects for research data management; and
- 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.
