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 data management plan (DMP).
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 data management plan (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. The course is also aimed at those working in the field of data science.
The course is aimed at the graduate students and biomedical scientists who are currently working on clinical, genomics and bioinformatics projects in Africa. The course is also aimed at those working in the field of data science.
Keywords: Research Data Management, Workshop, Data
Skill level of training:
Beginner
Language: English
Credential awarded: Letter of completion/attendance
Type of training: Online
Venue of the course: Zoom
Dates for the course:
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 anyone who meets the requirements.
Course Sponsors: H3ABioNet
Course 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 a knowledge of the RDM tools available at your institution and online.
Classroom applications
Registration for classrooms opens:
Thu, 01/01/1970
Registration for classrooms closes:
Thu, 01/01/1970
Notification date for successful classrooms:
Thu, 01/01/1970
Maximum number of participants that may be accepted per classroom will be
capped at
Participant applications
Registration for participants opens:
Thu, 01/01/1970
Registration for participants closes:
Thu, 01/01/1970
Participant registration link:
https://redcap.h3abionet.org/redcap/surveys/?s=8WFCAMY7FTKL4C3W
Syllabus and Tools
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.
Course limitations
This course will only provide a foundation for continued learning in research data management and will not teach any advanced RDM aspects.
For more information, please visit
Training material availability
Training materials for this course are not currently available.
