The funding environment for meeting the data demands of the SDGs has changed and there is now a better understanding of a couple of options for updating previous cost estimates in order to know the real funding gap for effective SDG monitoring.
The Open Data Inventory (ODIN) measures the coverage and openness of official statistics published on national statistical offices’ websites.
Data are the information we use as the basis for reasoning, analysis, and debate. They are the factual currency for evidence-based policy making.
Achieving gender equality – and monitoring its progress – needs a significant improvement in data disaggregated by sex, age, and other important attributes. Access to high-quality gender data are critical to a country’s ability to compile each of the indicators needed to monitor and implement the SDGs; but how many of these indicators are available today?
The State of Development Data Funding (SDDF) 2016 report provides updated estimates of the cost of producing the final set of SDG indicators agreed by the Inter-Agency Expert Group on SDG Indicators (IAEG-SDGs).
Themed “Global Goals, Local Impact,” the 2016 International Open Data Conference (IODC16) built stronger ties for work on open data between governments, data journalists, policy makers, private companies, civil society, and activists.
The Global Partnership for Sustainable Development Data is a global network of governments, NGOs, and businesses working together to strengthen the way that data is used to address the world’s sustainable development efforts.
This report summarizes outcomes of a survey by Open Data Watch (ODW) of the principal organizations providing aid for statistics.
The fundamental principle of the 2030 development agenda is to leave no one behind. Achieving real inclusion – and monitoring progress – will require a significant improvement in the availability of data.
The Data Revolution for Sustainable Development is poised to transform the way governments, citizens, and companies do business. This report provides recommendations based on an assessment of the cost of the core statistical tools needed to measure sustainable development.
