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This document discusses different types of data that can be used to understand drivers of change, including: 1. Official government and census data which provides national coverage but varies in quality and availability. 2. Remotely sensed data from satellites that is increasing and provides multiple data layers at different scales and time points. 3. Research data from projects which examines specific questions but has limited geographic and temporal scope and variability in standards. There is a need to increase long-term access and sharing of research data. An agricultural data platform is proposed to archive and integrate different data sources to better understand drivers of change over long time periods and large scales. This would help target research and policy and increase the value of






















