The article is dedicated to the experience of the Russian State Library (RSL) in testing research papers for incorrect borrowings. Relevant digital collection of research papers, specialized software and expert analysis are regarded as necessary components for such tests being carried out. The article describes their main results, as well as the most common flaws found in the research papers tested.

In this paper, we propose a method of machine-generated and non-scientific text detection in a collection of scientific papers. The method is based on lexical and morphological analysis of the document examined with the help of language modeling. This technique enables estimation of probability that the text belongs to the class of scientific documents. Experimental evidence shows feasibility of the approach.

This work addresses some of the legal issues emerging in connection with the necessary to implement mandatory testing of final qualifying works for borrowings at realization final attestation on educational programs of higher education, posting these works in electronic library systems educational organizations, but also their use. In particular, the need to comply with legislation on personal data when processing personal information in the course of audit work identifying plagiarism, publishing works in library systems. Paid attention to the enforcement of intellectual property rights of authors of final qualifying works during educational organizations assigned to them defined responsibilities. Analysis of legal issues carried out taking into account introduced by the Government of the Russian Federation the draft law on education the organization of higher education it is proposed to impose a duty on public access on the official website of the educational organization in the Internet the full texts of final qualification works of master's programs and specialist programs.

Translated plagiarism has widely spread in a scientific world and posed a serious problem due to the challenges in its automatic detection. However, in the last five years some progress has been observed in this area. The authors of this paper, as well as foreign research team from several universities independently of each other proposed an approach to detect plagiarism based on citation analysis with search of initial source for analyzed suspected paper with the same or similar references. Developed methods of detection of illegal use of borrowed text successfully passed several tests. The report shows the results that we have obtained in the last four years.

The article considers conceptual bases of creation on the basis of leading universities of the Russian Federation expert-analytical centers to conduct an independent examination of scientific texts (theses, monographs, articles, etc.) in the presence of incorrect borrowings. The basic stages of work of centres for the validation of scientific texts, the project forms an expert opinion.

The article reveals the essence of the expert competence of the detection of borrowing (DB), provides the definition of the levels of development of the expertise of DB, suggests the developed methodology "Determining the level of development of educational expertise of experts in the detection of borrowing in documents", discloses the principles of development of expert competence.