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Course Overview
The Research Data Management (RDM) short course will introduce the principles and practices of RDMĀ 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.
Keywords: Data management, FAIR, Data Curation
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 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
Course 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 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
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
Participant registration link:
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.