Expanding the functionality of the Digital Citizen Profile system as part of the use of a data-centric approach in strategic planning of the human resources potential of the Russian Federation

the development of human resources across key sectors of the Russian Federation is a top state priority. Numerous legislative and strategic initiatives underscore the need to increase the number of qualified professionals in priority fields. The national project "Personnel" and related federal initiatives aim to modernize the labor market and support lifelong education, employment, and skills development. Additionally, other national projects – such as those targeting youth, demographics, digital transformation, tourism, and industrial and agricultural advancement – incorporate objectives for workforce development. However, implementation is hindered by underdeveloped information systems, limiting access to accurate data on individuals' competencies and achievements. This reduces the effectiveness of planning and executing federal and national projects. Moreover, most citizens lack a structured personal development plan and sufficient awareness of state programs that could enhance their professional growth. To address these challenges, the article proposes utilizing the State Information System "Modern Digital Educational Environment" (GISEDO) as a master system, integrated with the Citizen's Digital Profile. This system would collect, store, and analyze data on individuals' education, skills, interests, and achievements. The article outlines the necessary legislative and technological changes to implement this vision and describes how AI and big data technologies could enable personalized development paths, contributing to both individual advancement and national economic priorities.

data-centric approach in the public sector, strategic planning, human resource development in the Russian Federation