In part 1, we took stock of progress made and missing pieces to flesh fully the data revolution. With that in mind, what are some of the major challenges for the development community in launching a Geospatial Data Revolution?
1) Matching data to Government needs
In all three of the areas highlighted in the first post in this series, data supply and demand examples are skewed toward donor agencies and governments. That was not unintentional. Much of the data in the international ecosystem stem from donor agency requests or requirements, and are often funded by one-off surveys or data calls. As we shift towards Sustainable Development Goals, it’s time to ensure data works for government partners, and not just for high-level statistical reporting. This means matching data collection granularity with government needs: level of decentralization, national planning objectives, medium-term expenditure frameworks, and so forth. This also means working with countries to define their own priorities within the SDGs in a consultative, context-centric approach, as our colleagues from the Gates Foundation have recently suggested.
2) Equipping countries with data, tools, and skills
Enabling country governments to perform their own analyses on datasets – independent of external consultants, per the request of domestic decision makers – is key to ensuring the Geospatial Data Revolution can work for everyone. Building out GIS capacity within planning and implementing ministries and sharing datasets and results with governments should be a priority for development partners; country governments should also invest more heavily in their statistical systems with an emphasis on analysis versus reporting requests.
3) Shifting the culture of data reporting to a culture of data use
This is perhaps the most difficult challenge to tackle, as it often requires an internal shift in process and mindset. As demonstrated by a 2014 study of the Government of Nepal, major blockers of data use within country governments include heavy reporting responsibilities, low incentives, technological and skill gaps, and nonexistent processes.
Taking these challenges and lessons to heart, I’m calling on agencies, organizations, and individuals to:
- Focus on governments as data consumers, not just data providers
- Emphasize data timeliness and granularity for country use, not global monitoring
- Align data collection efforts with country results frameworks
- Use aid in a catalytic role to help governments increase focus on opening and analyzing domestic resources, remittance flows, and private sector investment for improved public financial management
If we can ensure the Data Revolution works for all, we will build a firm foundation for a sustainable future.