INFORMATION MODELS AND PROJECT SOLUTIONS FOR THE ECCLESIA RESEARCH DATA STORING AND PROCESSING SYSTEM

Scientific research produces a lot of digital data that should be carefully gathered and stored for further usage: processing, analysis and publication. Building e-infrastructure for that is one of the most topical problems of IT (or digital) curation of science. Starting from three data-processing problems in physiology we are developing an information system for automation of gathering, storing and analyzing data. Problems encountered in development of such a system are examined and analyzed, along with existing approaches and software solutions related to these problems. Based on results of the conducted analysis a number of models and mechanisms for solving encountered problems are proposed. Developed solutions include models and mechanisms for collecting and storing research data, a model describing and formalizing data processing scenarios and models and mechanisms for processing collected data in a distributed computer system. As a result, an architecture for a computer system for collecting, storing and processing research data is presented. The system is proposed as a tool for solving a wide spectrum of problems in scientific research involving collecting and multi-step processing of various kinds of data.

research data management, information system, data analysis and processing, physiology data, object storage, functional language, machine learning, distributed computing

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