Reconciling data to improve quantity and quality.
Monitoring progress towards national plans and the SDGs requires more data than ever before. The integration of non-official or non-national level datasets offers a potential solution to these data demands. SDSN TReNDS is exploring the ways in which data reconciliation can be applied as a method to address data gaps across disparate sectors and different actors.
With funding from the Hewlett Foundation and support from SDSN, TReNDS and in-country partners are working together to explore the governance and technical requirements for effective data sharing between different public and private data producers.