Based on case studies that document drivers and the value of subnational data programming, DG and DCLI have developed a set of principles for subnational data use. These principles – and the collection of case studies – are a living document
Since 2017, DG has worked across seven countries and two regions to support the roll-out of UNICEF’s Data for Children Strategic Framework. This included developing country ecosystem diagnostics and strategic action plans for UNICEF Country Offices in Myanmar, Papua New Guinea, Philippines, Thailand, Viet Nam, Lesotho, and Ethiopia; and for the UNICEF East Asia and Pacific Regional Office.
This work examines the role that data plays in supporting key decisions taken by DFID at the strategy, portfolio (sector or country), and program level.
Governments, development partners, and implementers spend millions of dollars every year collecting data on results. How do we make these investments most effective? Studied how results data is collected, shared, and used in three countries: Ghana, Tanzania, and Sri Lanka, across the health and agriculture sectors.
In 2016, with our partners at the AidData Center for Development Policy, DG undertook three country studies exploring how development data influence decision-making in Timor-Leste, Honduras, and Senegal. The "Avoiding Data Graveyards" report details the findings of those studies.
Development Gateway, in partnership with DFID Nepal, conducted a detailed study of government data use in Nepal. Drawing on the perspectives of 60+ government officials, donor staff, CSO operatives, and academics, we tried to paint a picture of the government data “ecosystem” in Nepal. This report aims to provide useful insight for both Government of Nepal (GoN) and the development data community at large.