Based on the latest research into best practices by SDSN TReNDS and Open Data Watch, 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.
Open Data Watch is an international, non-profit organization working at the intersection of open data and official statistics. Our work supports the implementation of change in the production and management of official statistical data. Concentrating efforts in three areas — policy advice, data support, and monitoring — ODW seeks to make development data better and more accessible for increased use and impact.
An example of the interaction between these workstreams, the Open Data Inventory (ODIN) provides in-depth assessments of data coverage and openness that countries actively use to identify and address data gaps. The ODIN Gender Data Index, for instance, checks for data needed to address gender issues. Only with high-quality and open data can international organizations, governments, and citizens solve the challenges of measuring and achieving the Sustainable Development Goals (SDGs).
Open data can be powerful for informing policies, increasing transparency and measuring progress. But making data open takes commitment, organization, and technical capacity. Ahead of the upcoming Data for Policy conference, Open Data Watch offers this guide to common questions, persistent challenges, and progress to-date,