Brief description

The article discusses innovative approaches in the field of “new” data types. In the context of global digitalization, information and communication technologies have become available to the public in many countries, which has led to the emergence of “new” types and sources of data. The purpose of this article is to review “new” data types, as well as their sources, collection, and processing technologies. The research is based on 25 articles from the Scopus, RSCI, and the Higher Attestation Commission databases. The paper considers the following data sources: mobile operators (MNO), social networks, applications, and websites. Data acquisition technologies are divided into IP-based systems, billing data acquisition, connection with the controller data acquisition, the device and SIM card data acquisition, satellite navigation system, social media data acquisition. During the study, the international experience of using new data types to solve various tasks is analyzed. The areas of application include, but not limited to statistics, marketing, incident management on the roads, assessment and improvement of network coverage, sociological research, modeling and predicting user behavior. Such a wide range of applicability of digital data confirms the relevance of this research. Based on the analyzed sources, security problems were identified at the stages of collecting, processing, and storing “new” data types, and the approach proposed by the European Statistical System – Reference Methodological Framework was considered in detail. This paper is an analytical basis for data acquisition and processing within building socio-economic models of various sectors of the economy as part of the industry 4.0