This article describes the work on the creation of a medical IT service for detecting neurocognitive pathologies based on the results of constructing and analyzing a mathematical 3D model of the patient's brain, obtained on the basis of MRI scan data. The service is intended for use by employees of medical institutions for the purpose of preliminary diagnosis of such pathologies as, for example, autism, schizophrenia, pre-stroke, and others. The analysis is performed on the basis of an assessment of the compliance with the norms of the volumes of the main anatomical structures of the brain of the subject, which makes it possible to identify the pathology even at the preclinical stage. Access to the service is carried out through a web interface, it does not require the deployment of additional software on the user's PC and special IT skills.

The Kurchatov Complex of NBICS Nature-Like Technologies is focused on interdisciplinary research and development in the field of nano-, bio-, information, cognitive, socio-humanitarian sciences and technologies. The experimental basis of the NBICS complex is the Resource Centers operating in the mode of collective use by various scientific laboratories and containing modern equipment for conducting a wide range of scientific experiments. The processing and storage of the obtained experimental data is carried out on the supercomputer of the Computing Center, the use of which is also collective. Thus, there are problems of data exchange between different buildings, organizing their processing, analysis and orderly storage, as well as combining heterogeneous experimental data to obtain scientific results of a higher level. To solve these issues on the basis of the distributed modular platform «Digital Laboratory», an information and analytical environment was organized as a system that combines the scientific equipment of the Resource Centers, the supercomputer of the Computing Center, virtual machines and personal computers of scientific laboratories into a single virtual space, while organizing the exchange of data between various buildings, their processing, analysis and storage. The work with the system is carried out through the user web interface. At the request of researchers, each procedure for working with experimental data of a given type is implemented as an autonomous module of the «Digital Laboratory» platform. For example, the Module «Neuroimaging» for processing and analysis of fMRI / MRI experimental data of the human brain obtained on the tomograph of the Resource Center was put into operation and is successfully functioning. The use of this module makes the task of fMRI / MRI data analysis as simple as possible for the user, and also makes it possible to speed up the data processing many times over by parallelizing the computations on the supercomputer nodes. In addition to creating modules for working with experimental data, the system provides the ability to create modules for working with data of a different type. An example is the Module «Project Activity» for analyzing the effectiveness of scientific activities of research laboratories. The use of this system allows to optimize the work with experimental data in the course of scientific research due to the possibility of software implementation of the necessary procedures for their transfer, storage, processing and analysis.

This paper presents the Computer Model of the System for Automatic Processing and Analysis of MRI/fMRI tomography data, obtained at the Kurchatov Institute Resource Center “Cognimed”. The System is based on the “Digital Lab” IT-Platform, involving the Kurchatov Institute Supercomputer Cluster HPC4, which allows speeding up the processing of data for groups (2–350 subjects) by parallelization of computations on the supercomputer nodes (1 subject – 1 node). The proposed System allows scientists to remotely use the installed on the supercomputer specialized software to process and analyze MRI/fMRI data; organizes a unified data storage; permits the work with data by web a interface. The System also enables the use of program modules developed by KI researchers which implement mathematical methods to improve data analysis results. As an example of the realization of this Computer Model, the Module “MRI FS” is presented that provides automatic processing and analysis of MRI data using the open specialized software FreeSurfer v.6.0.

We present a concept of the information system for intensive work with metadata in heterogeneous data store to modify dynamically both the data and the metadata models by user. This concept is illustrated by example of such information system for the project where the digital registrar is developing for the culture heritage of Old Russian paintings, namely Dionisius frescoes in the Cathedral of the Nativity of the Virgin at the Ferapontov Monastery painted in 1502.

The paper describes the development of information technologies for distributed storage of data of instrumental observation networks created by the Far Eastern Branch of the Russian Academy of Sciences (FEB RAS). The prime goal of the distributed storage design is to process a large amount of real-time seismological data and provide fast and secure access using a cloud storage platform based on OpenStack Swift. On its basis, the allocation of the corresponding data storage has been done. The interaction with storage using existing application software as well as an assessment of the effectiveness of the solution is described.