The Collective Service provides the Information Management Service to strengthen evidence generation, which helps RCCE programme design and informs the decision making process at global, regional and country level.
The Information Management Service is supporting RCCE activities through improving data collection and collation, creating data management standards, data analysis, and supporting the dissemination of information. The IM team provides technical guidance, design and implementation support, and training to strengthen existing information systems or develop responsive solutions for RCCE partners at country or regional levels.
The team works with direct support from global and regional teams, and outsourced technical support with service providers or IM stand-by partnerships.
Information management SUPPORTS
From IM team and partners
Develop and implement data collection tools to support social science research or monitoring activities with third-parties through a user-centred design approach and scalable solutions.
Design a data management approach to implement, store, organize and maintain large and complex datasets on social behavioural or community feedbacks.
Identify robust and innovative methods and tools for interpreting data through explanatory or predictive analysis and generating trends and evidence.
Design dashboards or interactive charts to help data exploration, interpretation and the effective sharing of findings and evidence with partners and decision makers
Guide partners on appropriate information management tools and methods applied to RCCE, including data collection, analysis and visualisation.
Understand and assist country-level teams to design, implement and conduct their own data project and connect RCCE national teams with technical experts.
Providing in-country support to setup, adapt and rollout information or monitoring system by developing tools or strengthening existing platforms.
Amplify local capacites to manage data and generate evidence through collective training or coaching on IM tools and data analysis methods applied to RCCE.
Generic IM tools