Legal support for the data annotation industry as a way to ensure data quality

Abstract

The national project «Data Economy» aimed at digital transformation of various spheres is the next step to ensure scientific and technological sovereignty in the Russian Federation, while the key point for the implementation of numerous areas, federal projects, and activities within the national project is to improve the quality of both data and their sets, ensuring the growth of data available for use by various subjects. Issues of data quality and especially the management of such quality remain beyond the scope of regulatory support and regulation. Meanwhile, one of the ways to ensure data quality is the data annotation industry. Many countries pay attention to the potential inherent in the development of this area and begin to adopt strategic documents. This article substantiates the need for regulatory support for the development of the data annotation industry in the Russian Federation, considers foreign approaches that are currently beginning to form in this area, and suggests directions that should be developed for the systemic formation of the annotation industry in Russia as a way to ensure data quality. Attention is drawn to the versatility of the data annotation potential, including for ensuring the quality of algorithms, the development of highly specialized models of artificial intelligence.