Strengthening the capacity of Africa’s science granting councils in the use of evidence in policy and decision-making

This item is a blank staff training plan template.

The purpose of this document is to provide support to Science Granting Councils (SGCs) with a template to review the monitoring, evaluation, and learning (MEL) activities in the context of different approaches to understanding MEL. It predominantly focuses on assisting Councils in collecting data that is useful to their operations, i.e., data that allows them to understand what is working, what is not working, where there are bottlenecks, and where there are opportunities for change or expansion. In so doing, such data or evidence can be used to assist in their influence on policy processes. This document does not cover mainstream MEL theories and ways of working, as there are already excellent resources available for Councils in this area. Instead, it focuses on enhancing understanding MEL’s value in the context of Councils’ operations and mandates.

This resource contains a digitalization roadmap template, including instructions on completing every step.

This toolkit is based on the data governance framework developed by the Data Governance Institute, a widely recognised industry standard. The framework provides a comprehensive set of guidelines and best practices that can be used to develop and implement effective data governance systems. It covers all aspects of a data governance framework, including data quality, data management, data security, data privacy, and compliance. This toolkit is designed for data managers in SGCs who are responsible for managing research-related data. It is a practical guide that can be used to develop and implement a data governance system tailored to the specific needs and challenges that face SGCs. The toolkit is designed to be accessible and user-friendly to SGCs with different levels of data governance experience and expertise.