Overview

This course aims to equip data scientists in Africa with the knowledge and skills necessary to effectively manage research data. Research data management involves the successful execution of data-driven research projects, ensuring data quality, security, and compliance with ethical standards. Participants will learn best practices for collecting, storing, processing, and sharing research data, with a focus on the unique challenges and opportunities in the African context.

By the end of the course, participants will be well-equipped to manage research data, contribute to data-driven research projects, and comply with data protection regulations in Africa.

Skill level of training

Beginner

Language

English

Credential awarded

Certificate of Attendance

Type of training

Virtual Workshop

Venue

Online/Virtual (via Zoom)

Course date

From 10:00 CAT to 14:00 CAT

Application opening date

Friday 25th of April 2025

Application closing date

Wednesday 21st of May 2025 - 23:59:59 CAT

Notification date for successful applicants

Monday 9th of June 2025

Organisers

Faisal Fadlelmola, Tshinakaho Malesa, Anwani Siwada, Katherine Johnston, Melek Chaouch, Lyndon Zass, Ziyaad Parker, Ayton Meintjes, Suresh Maslamoney, Gerrit Botha, Sumir Panji and Nicola Mulder.

Sponsors

eLwazi ODSP

Intended Audience

The course is aimed at graduate students and scientists who are currently working on data science projects in Africa.

Prerequisites

This course requires active participation. Therefore, only participants with an internet connection and laptop, who will need to manage research data, and be available to attend the course modules online, engage in interactive sessions with trainers, and complete the assignments will be selected. The course is also open to all postgraduate students of the DS-I Africa Research and Education Training Program.

Learning outcomes

After this course participants should be able to:

• Understand the fundamentals of research data management and its importance;
• Develop practical skills in collecting, storing, and managing research data;
• Ensure compliance with legal and ethical data handling standards;
• Promote collaboration and data sharing within the African research community;
• Prepare data scientists for emerging trends in data management.

Limitations

This course will only provide a foundation for continued learning in research data management for data scientists and will not teach any advanced RDM aspects.

To apply, please Click HERE