This case study looks at how laws granting autonomy to the statistical office have helped significantly advance data use in Mexico through better management and active engagement with data users.
This case study looks at how data use of official statistics in the U.K. is promoted through a steadfast commitment to meeting users’ needs based on analysis of data use demands, data literacy training, and engagment with dedicated user and expert groups.
ODW’s first Visiting Statistician, Luis Gonzalez Morales, reflects on his sabbatical experience while at Open Data Watch and as he returns to the UN Statistics Division.
This case study looks at how the Philippine Statistics Authority (PSA) successfully centralized the data governance of major national statistical agencies to ensure that datasets are better tuned to user needs and can be efficiently used for policy and planning purposes.
As 2022 comes to a close, Open Data Watch (ODW) reflects on what has been achieved and what is left to be done to support open data for development, better data governance, fewer data gaps, and more impactful data use to improve people’s lives.worldwide — all eight billion of them.
Funding for gender data decreased by 55% in 2020 — nearly three times the drop in funding to data and statistics overall. But a four-part strategy to support data for SDG 5 could reverse this trend.
This case study looks at how Colombia’s National Statistics Office (DANE) captures several new data dimensions to improve the visibility of minority groups in national statistics through inclusive, disaggregated data.
Open Data Watch is pleased to welcome our first Visiting Statistician, Luis Gonzalez Morales, who joins us from the United Nations Statistics Division.
Billions of gigabytes of data are produced daily, but valuable data often pass into “data graveyards” — lost when most needed for evidence-informed decisions on pandemics, climate change, and energy and food insecurity. This report finds best practices to improve data use and impact.
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?