This in-depth report identifies lower-income countries where women and girls are most exposed to and most at risk from the COVID-19 pandemic and assesses countries’ capability to respond, based on a gender vulnerability data dashboard.
This report highlights the main takeaways from a multi-stakeholder high-level political forum on navigating the challenges and maximizing the opportunities of making data open, accessible and properly disaggregated.
Counting on the World to Act, published by SDSN TReNDS, is an exceptional data report covering some specific areas of data governance that have been missing from the conversation so far, including discussion of amended laws, new data officers, the digital ecosystem, and the case for investment.
How can access to publicly held data be maximized while protecting privacy? This in-depth look at public-to-public and public-to-private data sharing finds that opening data should be the default, but provides guidance on taking informed decisions about what and how data should be open to ensure maximum openness, mutual trust, transparency, and protection of sensitive personal information.
The effectiveness of websites or data portals maintained by National Statistical Offices depends whether data users are aware of their existence and contents, and whether they are monitored and managed to assure that users can readily find what they are seeking…
A result of a joint project between AidData and Open Data Watch, the Counting on Statistics report examines how official statistics are being used from the perspective of 400 national statistical office officials and 650 government ministry officials in 140 low- and middle-income countries.
The effectiveness of websites or data portals maintained by National Statistical Offices depends whether data users are aware of their existence and contents and, importantly, whether they are organized and monitored so that users can find the information they are seeking…
Data are the factual currency for evidence-based policy making. The data value chain describes the evolution of data from collection to analysis, dissemination, and the final impact of data on decision making.