Monthly Notes: Enhancing administrative data in India
Governments routinely collect administrative data as they deliver services to citizens. However, due to quality constraints and difficulty garnering insights from this data, it has been notoriously unreliable for decision-making.
IDinsight’s DataDelta team worked with the National Institution for Transforming India (NITI) Aayog to improve the quality and decision-relevance of their administrative data. Our team made great strides in creating a data verification strategy to support local development efforts. We set up detailed processes to ensure quality data collection at scale and used our learnings to build data verification toolkits for improving local data quality and governance.
In this month's edition, we share the latest insights from our DataDelta team in India. We also spotlight how we are innovating for inclusive impact in Kenya, empowering education through evidence in Cambodia, and working to affirm dignity in international development.?
Empowering districts to improve administrative data quality in India
Quality administrative data has always been critical to a well-functioning public sector, but over the years, the government of India has increased its reliance on administrative data to make a wider range of decisions, and more consequential decisions, than ever before. The problem is that the quality of administrative data remains uncertain as its collection, monitoring and analysis are plagued with multiple challenges.
Exploring a partnership between IDinsight and the Gates Foundation, DataDelta Manager Jasmeet Khanuja provides insights into how this partnership is working to enhance the credibility of district-level administrative data in India.
Supporting development efforts in India through data verification strategies
Administrative data is fundamental to effective governance. How can we ensure such data, collected both nationally and locally, is high-quality and accurate enough to inform decision-making and program tracking? We address this concern by sharing strategies developed by IDinsight's DatatDelta team to verify the accuracy and representativeness of district-level data in India.
Ensuring quality data collection at scale?
IDinsight recently conducted a large-scale survey in 38 districts across 8 states in India. Our Associates share what they learned about operating efficiently while preserving data quality. They uncover the processes and systems along the data collection pipeline that facilitated this complex exercise. A must-read?for organisations looking to conduct primary data collection at scale.
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