The Russian Government has a tendency to expand the use of automated decision-making systems, which provide partial and complete automation of the procedure for the adoption of enforcement decisions by executive bodies. The application and use of such systems are carried out in the absence of holistic regulation that ensures the legality, transparency and soundness of automated decisions and establishes additional legal safeguards for citizens and organizations.

Aims and purposes of the study: to define a system of legal requirements that contribute to ensuring the quality of data in automated decision-making in public administration.

Research methods: general and special methods, including dialectical method of scientific knowledge, system-structural, formal-legal, comparative-legal, analysis, synthesis, comparison and generalization.

Conclusions: one of the central elements of the legal regime for the functioning of automated decision-making systems in public administration should be the legislative establishment of requirements to the quality of data, by which it is proposed to understand the set of requirements to the properties of data (data sets) and the requirements to the procedures for their processing and use. The article offers a system of requirements to the quality of data and features of its application in various spheres of activity of executive authorities, including requirements to: 1) reliability (accuracy, completeness and actuality) and consistency of data; 2) non-discrimination (representativity) of data; 3) data verifiability; 4) data confidentiality; 5) adequacy and target limitations of data collection; 6) openness of data sets within limits that do not violate confidentiality.