If you happen to be in the city of Chongqing in southwest China, and need basic medical insurance, all you need to do is apply on the local official medical app, the Chongqing Express Office app.

All the formalities can be completed in one day and you can get the insurance card the next day, thanks to the intelligent public data platform which integrates various data resources.

Recently, the general offices of the Communist Party of China Central Committee and the State Council released a guideline to accelerate the development and utilization of public data resources. This initiative seeks to unlock the potential of public data as an essential element in driving high-quality economic growth.

The primary objective is to establish a foundational regulatory framework for public data resource development and utilization by 2025. The milestones include significantly enhancing the scale and quality of available data resources, expanding the range of data products and services, and achieving tangible results in key industries and regions.

By 2030, the guideline envisions a more mature regulatory framework and a fully integrated system for public data resource utilization.

One of the measures outlined in the document is to expand the supply of public data. This involves promoting cross-sector collaboration in government data sharing, and enhancing the support function of existing data-sharing platforms to improve public service efficiency.

The guideline also calls for orderly opening of public data. A policy framework for public data openness will be established, clearly defining the rights and responsibilities. The framework will also take into consideration national data security requirements and the protection of personal information and commercial secrets.

Authorized operations of public data are encouraged. The policy calls for the development of a classification and authorization mechanism for public data. Qualified operational entities will be empowered to develop and manage public data products and provide related technical services.

Promoting innovation in data applications is also on the agenda. Enriching data application scenarios, supporting the development and application of AI models for government services, and enhancing intelligent delivery of public services and social governance will be emphasized.