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).
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.
Keywords: Research Data Management, Workshop, Introduction
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: Every Tuesday and Thursday from 10:30 CAT to 14:30 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 anyone who meets the requirements.
Course Sponsors: H3ABioNet
Course objectives
 

Classroom applications

Registration for classrooms opens: Thu, 01/01/1970
Registration for classrooms closes: Thu, 01/01/1970
Link to classroom application form:
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
Syllabus and Tools
Prerequisites

Course limitations

For more information, please visit

Training material availability

Training materials for this course are not currently available.