Focusing on data standardisation and cleansing

The Politburo’s Resolution No. 57-NQ/TW, dated December 22, 2024, recognises data as a new resource and a new means of production. It urges the development of mechanisms and policies to ensure that data becomes a key driver of the digital economy and digital society. To achieve this goal, a crucial requirement is to build national data systems, along with data systems of ministries, sectors, and localities, that are interconnected, integrated, and shared.

Tax officials in Ha Noi conduct a campaign to cleanse land data.
Tax officials in Ha Noi conduct a campaign to cleanse land data.

At a thematic meeting on digital transformation within the political system, hosted by the Central Steering Committee for the development of science and technology, innovation, and digital transformation, General Secretary and State President To Lam urged a comprehensive review, cleansing, standardisation, integration, and use of data across the entire political system. He further emphasised that each agency and locality must regard data building and data cleansing as a political responsibility, rather than a task solely for agencies responsible for information technology or science and technology.

The creation, management, integration, and use of data must adhere to the principles of being "accurate, complete, clean, up-to-date, consistent, and shared", creating real value for agencies, organisations, citizens, and businesses while advancing the development of the digital economy and economic growth.

Recent experience demonstrates that although many databases have been established, they often lack consistency, accuracy, and interoperability across sectors and levels. Many databases have not been connected to support administration, analysis, and forecasting, diminishing the effectiveness of digital transformation and directly affecting the quality of services provided to citizens and businesses. In this context, the General Secretary and President's directive not only underscores the role of data in the country's new stage of development but also provides clear guidance for action across all levels and sectors within the political system.

Many localities have quickly translated this directive into action programmes and resolute campaigns. Rather than simply creating new databases, they are focusing on reviewing and standardising existing data, recognising this as a key breakthrough in improving the effectiveness of governance and public services.

Under the guidance of the Provincial Party Committee, An Giang Province has promptly launched the campaign entitled "Reviewing, cleansing and building data; issuing citizen identity cards and electronic identification accounts for individuals and organisations; electronic health records on the VNeID application; and surveying, mapping, and developing land data" across the province. The peak period of the campaign runs from June 20 to September 15.

Provincial departments, agencies, sectors, and People's Committees of communes, wards, and special administrative zones have been directed to review and assess the current status of their infrastructure and data of units and localities, build implementation plans, establish task forces for the campaign, and proactively evaluate equipment, human resources, and other necessary conditions to ensure its effective implementation.

According to the leaders of An Giang Province, the campaign aims to promote the widespread application of population data, digital identification, and electronic authentication across all sectors. It also seeks to review and identify existing shareable datasets, and the challenges encountered in standardising, integrating, and synchronising data. All digital solutions, platforms, and services are intended to be convenient, accessible, and secure.

The province has mandated the campaign to be implemented practically and effectively, producing tangible results without overextending resources or setting targets beyond the actual capacity of agencies and localities. The guiding principle is to proceed carefully and steadily, ensuring that data are standardised before being put into use.

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