Abstract:

Currently, Russian institutions are almost completely disconnected from Western information resources and services related to the publication of scientific journals. In such conditions, the task of replacing the departed services, reorientation to domestic scientific journals, Russian online library resources has become particularly actual. In the largest bibliographic database the eLibrary.ru, focused on Russian-language scientific publications, collected information about almost 15 thousand Russian-language journals. In the eLibrary.ru there is an analytical system "Russian Science Citation Index" that processes metadata of articles from more than 5 thousand Russian scientific journals. Is the eLibrary.ru ready to serve as a national bibliographic database? For what reason "white lists" of journals appear in Russian organizations?

The main problem of the RSCI is the quality of the constructed ratings of scientific journals. The methods of calculating ratings over the past years have caused certain criticisms. The paper provides an example of a rating of journals from the section "Mathematics" built in the RSCI. Journals that are little known among professional mathematicians were in the first positions. Serious deformations in the ratings of the eLibrary.ru undermine the confidence of scientists in the assessments of the credibility of Russian journals proposed by the eLibrary.ru. The reaction of some universities and scientific organizations is quite expected: organizations are beginning to introduce their own criteria for the success of the publication activities of employees associated with the publication of articles in journals from the so-called "white lists". The white list of journals is compiled, as a rule, by the expert councils of the organization specifically for each discipline and scientific direction. Scientometric indicators may be taken into account when compiling white lists, but they are not the primary criterion for the selection of journals. White lists can now become a reasonable addition to the ratings of bibliographic databases.

Abstract:

We investigated the current models of the publication and dissemination of scientific knowledge. We describe the modern information management system of scientific publications and services that determine their functionality.

We discuss the concept of the digital infrastructure of the electronic scientific journal. Under this infrastructure, we understand the complex that combines management software platform of electronic journal and a number of specialized information systems. The software platform realizes the basic operating log management processes. Information systems provide the operation of additional services, taking into account the specifics of the journal subject area.

We present an approach to the organization of the digital infrastructure of the scientific journal based on an open platform Open Journal Systems (OJS). We provide software services that extend the functionality of this platform and considering specificity of the subject area of scientific journals. We have created software modules for automating of electronic scientific journal workflow. These modules are an extension of OJS.

We present a system of services for the automated processing of collections of scientific documents. These services provide verification of document compliance to the accepted rules of formation of collections and their conversion to the established formats; structural analysis of documents and extraction of metadata, as well as their integration into the scientific information space. The system allows to automatically performing a set of operations that cannot be realized for acceptable time with the traditional manual processing of electronic content. It is designed for the large collections of scientific documents.

Algorithms style validation of texts at the article registration stage in the information system of electronic scientific journal, the selection of reviewers, alert and control the timing of reviewing were automated. Information gathering algorithm with dedicated news lines of scientific journals, further analysis and distribution of news by categories and degrees of importance were developed. The algorithm automatically extract bibliographic data from a homogeneous array of publications (in particular, the issues of the scientific journal) and the formation of metadata blocks for export to international information and analytical system were created. Methods integration of OJS platform and international databases of science citation were developed.

We present methods of processing documents containing mathematical formulas: in the collections of documents that contain mathematical formulas, algorithm for the search formulas is developed; basic ideas, approaches and results already obtained by the mathematical knowledge management based on ontology are presented; a method of constructing recommender systems based on mathematical knowledge ontologies described. The method of primary processing automated of scientific article using TеX-notation developed.

The new direction of researches of scientific communications in the environment of Web 2.0 – altmetrics – is considered. We have analyzed the content of the notion «altmetrics», we conducted a comparison of traditional (bibliometric and scientometric) and alternative indicators. We describe the use of world experience informetric services on scientific journals sites. We discussed options for implementing these approaches to create an electronic scientific journal management platform. 

Abstract: Some scientific digital libraries provide scientometric services which collect different statistics including numbers of viewing and downloads over its content, etc. Sometimes statistics about publications are aggregated for its authors and at the next step for organizations of authors' affiliation. In this paper we present a scientometric service that makes an aggregation of publications' statistics for codes of scientific classification systems (rubricator) included in the publications metadata. This application works as a part of the Socionet Statistic system.