Open Data Watch is an international non-profit, non-governmental organization that works at the intersection of open data and official statistics. It monitors the accessibility and comprehensiveness of official data in over 180 countries and provides practical information and assistance in implementing open data policies and systems. The Open Data Watch team has unparalleled experience in development data and is committed to making open data a global reality in support of Sustainable Development Goals.
Investing in data ecosystems that include gender is vital to responding to pandemics, climate change, and global conflicts. But closing the gender data financing gap needs a strategy to make funding to go further in a time of scarcity.
The growth and impact over the years of the Open Data Inventory (ODIN) would not be possible without the dedicated researchers behind it.
How can countries, development actors and other partners accelerate the pace to finance gender data? Research suggests three ways.
The push for Open Data has made phenomenal progress in the last five years, but are there risks ahead for National Statistical Offices, data users and partner groups?
Data portals are a primary gateway for evidence-based decision-making, monitoring, fact checking, and reporting. But not all portals have the upstream data management needed to assure coverage, access and use.
All gender indexes should be accompanied by complete documentation of their design and construction.
As shown by the Gender Data Network in Africa, knowledge exchange between countries is key to addressing capacity, funding, and other challenges to have data needed to reach SDGs.
This webinar identifies obstacles and opportunities of using official statistics data for fact-checking and outlines a cooperative strategy to curb the spread of misinformation.
Do the tools that measure the capacity and outputs of statistical systems answer compatible questions and provide consistent assessments? See this overiew of new comparative findings and recommendations.
What are the similarities and differences between existing tools to measure the capacity and outputs of statistical systems? This report compares 12 major indexes and tools, mapping them to the Global Data Barometer and the Data Value Chain.