Модернизация, инновация, развитие (Jan 2017)
OPTIMIZATION OF SCIENTIFIC AND TECHNICAL EXPERTISE OF THE APPLICATIONS FOR STATE SUBSIDIES
Abstract
The main aspects of the evaluation of projects for the grant of Federal Target Program «Researches and developments in priority directions of scientific and technological complex of Russia for 2014-2020» is discussed. This subject is very relevant, because the efficiency of scientific and technical expertise is a guarantee of the eff ectiveness of innovative projects management. This is particularly important for the projects, which have significant practical orientation and being competitive in the international scientific and technical level.The purpose of this article is a justification of importance of improvement of technologies of information support of experts. These technologies allow to draw the attention of the expert to a number of discrepancies in the documentation, to quickly process the large volume of information at various scientometric databases, to reduce the manhours of the expert per project and to increase efficiency of scientific and technical expertise.Advantages and disadvantages of the use of machine analysis of keyword and semantic analysis of documents during the scientific and technical expertise have been described. The criteria for peer review as a quality research project; qualifications, work experience, academic achievements of the project implementing team and instrument base; the potential Bidder; financial support of the project. Various criteria for analysis of the project (quality of the research project, qualifications, work experience, academic achievements of the project implementing team and their instrument base, the potential and the project financial support) are considered.Conclusions. First, use of modern information technology in scientific and technical expertise allows to expand the information field and an expert to carry out a deeper analysis of projects. Secondly, the stocktaking of the advantages and disadvantages of using machine analysis for keywords and semantic analysis of the documents can improve the quality of expert opinions and improve the scientific culture of the professional activities of an expert in general.
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