The UN World Data Forum 2021 was the first major opportunity since the pandemic for development data experts and users to assess the lessons and impact of COVID-19 on Sustainable Development Goals. Four main takeaways show a move from “what” to “how” data can be used to achieve SDGs.
The COVID-19 pandemic has brought to the world’s attention the need for accurate and timely data to guide decisions. It has been a stress test, like no other, for statistical systems around the world. One year since ODW started tracking COVID-19 data collection and use, what have we learned?
Country representatives gather to discuss the 2020/21 ODIN Open Data Inventory Annual Report and to share success stories, challenges and experiences in implementing open data to promote environmental, social and economic progress in their countries.
As the world waits for the distribution of a vaccine and treatment options, there is a tool in our arsenal to strengthen our COVID-19 response: open data.
This podcast by DataJournalism.com and Open Data Watch covers topics ranging from the genesis of Open Data, to monitoring tools like ODIN, to issues of transparency, susustainable development, gender equality, statistical capacity, and COVID-19.
New research reveals significant gender data gaps in the Latin America and Caribbean region. Despite nearly 25 years of ambitious commitments to gender equality, many countries still lack the data needed to guide planning and monitor outcomes.
This fourth blog of the series examines what emerging measures of the direct impact of the pandemic on healthcare workers can tell us about the frontline capacity of countries and how it differs for men and women.
This third blog of the series summarizes existing data on sex-disaggregated COVID-19 cases and deaths from Global Health 50/50, compares this to overall cases and deaths, and examines the shares that are sex-disaggregated by income and region.
Accurate, timely data during the coronavirus pandemic guides decisions on limiting transmission and allocating resources. But what are the drawbacks, merits, accessibility, and biases of coronavirus datasets, models and testing? What do we know about uptake of coronavirus data? What can we learn from changing demand for data?
This second blog in the series summarizes the existing data on sex-disaggregated COVID-19 cases and deaths from Global Health 50/50 and asks how complete our picture is when compared to all reported cases and deaths.