Datacentrism as the basis for the digital transformation of crime detection, investigation and prevention

The author proposes a new concept of datacentrism as one of the most important aspects and drivers of the digital transformation of crime detection, investigation and prevention. The article is based on the use of materialistic dialectics as a universal method, as well as general scientific methods such as analysis, synthesis, modeling, extrapolation, and others. The author includes in datacentrism: expanding the range of information used in the investigation, its sources; increasing the complexity of methods of working with information; increasing the speed of information processing; increasing the reliability and security of storing and processing information in electronic document management; paying increased attention to analytical methods and expanding the range of methods for remote information collection. The author consistently examines these elements and makes recommendations for each of them. As part of the expansion of the range of information used in the investigation, new types and forms of information are considered, as well as the need to activate new methods of searching for orienting and evidentiary information: methods of intellectual intelligence. It is stated that the specifics of working with certain types of distributed information and services for working with it (for example, peer-to-peer networks, Raid arrays, blockchain, other distributed registries, etc.), remote work with information, splitting an information object into small parts and finding parts from different people or on different hard drives (in Raid arrays) and so on require the development of special recommendations. The author highlights the need for new forms of information retrieval and defines the specifics of network profiling, OSINT, data mining, Big Data analysis, automation of information collection and research using neuromorphic technologies. The main directions of the implementation of data-centric methods and tools are: (1) building and estimating the probability of versions using automated technologies; (2) determining the priorities of the investigation; (3) identification of potential witnesses; (4) crime prevention. The conclusions indicate that: the application of the ideas of datacentrism in investigative activities for the detection, investigation and prevention of crimes can significantly increase the effectiveness of the investigation. This information acquires evidentiary value being confirmed by the results of investigative actions; the use of a platform concept organized according to a block-modular principle with different levels (circles) of access will ensure effective access to data for both managers and specific researchers, as well as analysts, technical specialists and other involved persons, while maintaining the restrictions provided for by law; a cloud-based form of information storage is suggested as optimal. The author declares no conflicts of interests.

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