Accessible at https://sti.gov.vn, the system is one of the national shared digital platforms established under Decision No. 1132/QD-TTg dated June 24, 2026, issued by the Prime Minister. It integrates information on organisations, scientists, research projects, scientific publications, intellectual property, high technology, and technology transfer. With 137 sectoral and 17 national statistical indicators in science and technology, the system helps establish a unified data resource for analysis, evaluation, and policymaking.
Consolidating information sources helps address data fragmentation, providing management agencies with a stronger evidence base for decision-making, making it easier for scientists to find partners and resources, and enabling businesses to access suitable technologies. The system's effectiveness depends on data quality and the ability to utilise it. Inaccurate, outdated, or duplicated information will diminish the platform's value.
Data quality must therefore be regarded as a core priority. Each data source needs a clearly designated responsible body, an update schedule, and a verification mechanism. Standardisation, cleansing, and validation must become routine practices to ensure that information is accurate, complete, reliable, and interoperable. If data is updated only periodically, it will quickly become obsolete, undermining the value of the entire system.
The ability to share and reuse data is also crucial to its effectiveness. Information already available should not require resubmission, and verified data should be shared and reused multiple times. This would help streamline administrative procedures and prevent redundant data entry across multiple forms and platforms, giving scientists more time for research and innovation.
Connected and reusable data can also pave the way for more innovative management of science and technology projects. Rather than focusing primarily on funding, progress, and acceptance, the system should show where research findings are being applied, what products they have generated, and how they contribute to socio-economic development.
Data should be tracked throughout the entire process, from project proposals and implementation to application and impact assessment. This would provide a basis for reducing duplicative investment, identifying priority projects, and allocating resources based on evidence.
The system is also expected to narrow the gap between research and the market. Many businesses are unaware of which research findings from institutes and universities could be applied commercially, while research teams often lack information about market demands. Bridging both sides would create more opportunities for collaboration, accelerate the commercialisation of research results, and bring technologies from laboratories into production and everyday life.
Alongside expanding connectivity, the system must ensure data security, confidentiality, and controlled access. Open data does not mean sharing all information with every user. Access rights, permitted purposes of use, and protection responsibilities must be defined for each data category, facilitating data utilisation while safeguarding intellectual property rights and research confidentiality.
