1. We need to focus on data supply, not only on global data demand.
2. A data revolution has to focus on costs as well as benefits.
3. Many statistics are public goods, and therefore we need to worry about market failures in their provision.
4. Paying for results is not only naïve but dangerous.
5. We need to worry more about local demand and applicability to have a sustained improvement in data for development.
Read the full explanation of the propositions here.