It is shown that the calculation of scientometric indicators of the scientist and also the scientific journal continues to be an actual problem nowadays. It is revealed that the leading scientometric databases have the capabilities of automated metadata collection from the scientific journal website by the use of specialized electronic document management systems, in particular Open Journal Systems. It is established that Open Journal Systems successfully exports metadata about an article from scientific journals to scientometric databases Scopus, Web of Science and Google Scholar. However, there is no standard method of export from Open Journal Systems to such scientometric databases as the Russian Science Citation Index and Index Copernicus, which determined the need for research. The aim of the study is to develop the plug-in to the Open Journal Systems for the export of data from this system to scientometric database Russian Science Citation Index. As a result of the study, an infological model for exporting metadata from Open Journal Systems to the Russian Science Citation Index was proposed. The SirenExpo plug-in was developed to export data from Open Journal Systems to the Russian Science Citation Index by the use of the Articulus release preparation system.
The main source of information about the publication is their annotations and other metadata posted on the website of the scientific journal. The use of standard protocols for metadata exchange promotes a better calculation of scientometric indicators not only of the scientist but also of the scientific journal itself (primarily its impact factor) [3; 5; 6; 8; 16].
Unfortunately, not all leading scientometric databases have the possibility of automated metadata collection from the scientific journal’s site, which actualized the conduct of an appropriate study. 2
The issue of qualitative and quantitative evaluation of published scientific results is due to the cause of the appearance of scientometry. Scientometrics determines the quality of scientific works and the quality of the scientist’s work by analyzing scientific works on certain criteria.
One of the founders of scientometry is John Desmond Bernal, who described the
laws of the functioning and development of science, the structure and dynamics of
scientific activity, the interaction of science with the material and spiritual sphere of
society, the role of scientometry in the social process in his work «The Social
Function of Science» [
After World War II, Derek John de Solla Price made a significant contribution to
the development of science. Being a mathematician and a physicist, he defended his
second thesis on the history of science. D. J. de Solla Price used quantitative methods
to study science [
The term «scientometrics» was first used by V. V. Nalimov and Z. M. Mulchenko in the monograph «Scientometrics. Study of science as an information process», published in 1969. Authors define scientometrics as one of the branches of science, in which «science is viewed as a system that self-organizing and directs its own information flows» [10, p. 6]. «While studying science as an information process, it turns out to be possible to apply quantitative (statistical) research methods... It seems natural to call this direction of research – scientometrics» [10, p. 9].
A great contribution to scientometrics was made by Eugene Eli Garfield [
The main scientometrics indicators are: Science Citation Index; h-index; g-index; i10-index and impact factor [14; 15].
Science Citation Index (SCI) – is a measure of the author’s influence or scientific work on the development of science (see Fig. 1, Fig. 2). SCI reflects the total number of references to a particular scientific work or author in other scientific articles. The negative side of scientometric research using SCI is that this index does not take into account the time of article influence on science. That means the author, who created an article of poor quality about 20 years ago and quoted at least once a year, receives the same citation index as the good work that received 20 citations per 20 years.
Also, the citation index does not reflect the characterization of the scientific
potential of the scientist. That is, a scientist who has written one work that has gained a
certain popularity, and without having written more works, can have the same
popularity with that scientist who has many scientific works. This and other shortcomings
of the citation index prompted scientists to create new methods for assessing scientific
papers.
The h-index was developed by Jorge E. Hirsch, a professor of physics at the
California University of San Diego, who proposed «Hirsch’s index» in 2005 [
The peculiarity of the h-index is that it well reflects the results of scientific work when comparing the productivity of the scientific process in one area of activity. The disadvantage of the h-index is that the scientific index depends on the activity of the scientist. If a scientist ceases to engage in scientific work, his index will be the same as he was before, or at best, the scientist will have an h-index equal to the number of his articles.
The problem of staticity of the h-index was attempted to solve by a Belgian
scientist from Universiteit Hasselt Leo Egghe by offering the g-index [
Impact factor (IF) is the ratio of the number of citations of articles of a certain
journal to the total number of articles published in this journal (Eq. 2). In each
particular year, the factor influencing the journal is the number of citations this year of
the articles published in the journal over the past two years, divided by the total
number of articles in this journal over the past two years [
= (2) The basis for the analysis of the quantity and quality of the above indicators is the scientometric databases. They include bibliographic, abstract or full-text material on scientific publications, as well as tools for further tracking articles cited, internal search, etc. Scientometric databases are divided into commercial and free ones. The most popular commercial scientometric databases are Scopus and Web of Science. Non-profit-oriented ones include Google Scholar, Russian Science Citation Index, DOAJ, WorldCat, Index Copernicus. The analysis of the leading scientometric databases has made it possible to identify their two main categories: 1) databases that index article’s metadata automatically (Scopus, Web of Science), and 2) databases that article’s metadata need to be entered by user’s own hands (Russian Science Citation Index, Google Scholar and Index Copernicus).
Reduce the costs of supporting the work of the editorial board by creating the ability for members of the editorial board to work in the mode of remote access, increase the efficiency of editorial and publishing processes, improve scientific metrics, etc. provide specialized systems for supporting electronic document management.
The study identified four of the most popular systems that have different
functionality for the publication of scientific papers ‒ Open Journal Systems, DSpace, Koha
and EPrints. The largest support for the editorial staff of the journal provides the Open
Journal Systems (OJS) [
The aim of the study is to develop the plug-in to the Open Journal Systems for the export of data from this system to sciencemetric database Russian Science Citation Index.
To accomplish the set goal, the following tasks had to be solved: 1. to develop an infological model for the metadata export from Open Journal Systems to the Russian Science Citation Index; 2. to develop and test the plug-in to the Open Journal Systems for the metadata export to the Russian Science Citation Index.
The OJS has a number of additions to export data in popular formats, as well as to the DOAJ open source directory. Unfortunately, with the transition to the new (third) version of OJS, the documentation for the plug-in developer is still not relevant.
In addition to the undocumented structure of the plug-in, there is another problem – the under-contentiousness of the metadata required for the Russian Science Citation Index. In Table 2, an infological model for the export of metadata from OJS to the Russian Science Citation Index was developed by analyzing the results of numerous experiments on the data export to/from the Russian Science Citation Index. As a result, XML structures were installed for import into the Russian Science Citation Index system. Files
Description a block that describes single author using the tags: surname, initials, orgName (Organization Name), email, otherInfo (other information) article title block description. The block may include different languages that are specified when describing the title of an article text of the article bibliographic description of the article, e. g, UDC, Dublin Core etc. a block that describes the article keywords using the keyword tag references to other articles files that belong to the article
The development of the export model allowed us to move on to the next task – designing and developing a plug-in for export.
When developing the plug-in, the PHP programming language was used; the server with the LAMP-stack worked under Ubuntu Server 17.04. The following main assets were used to analyze and write the plug-in: PHPStorm, HeidiSQL, Git.
OJS has a number of shortcomings in the documentation that describes the rules and requirements for writing plug-ins to the system. But it is important to note that the program code is written by OJS authors, is well commented and uses comments in the form of Doxygen [17]. In the process of document search, the automatically generated Doxygen documentation for the OJS components was found.
To generate an XML file, you had to understand the structure of the import file to the Russian Science Citation Index – for this purpose, the Articulus system exported and identified the XML tags needed for export. Based on experiments with Articulus exports to the metadata described in Table 2, mandatory and optional fields were identified and their association with the OJS metadata was established.
The general scheme of the plug-in operation (see Fig. 4), is fairly transparent, which resulted in its rapid prototyping and development. The created plug-in, called SirenExpo (https://github.com/Ladone/SirenExpo) (see Fig. 5). It was installed in the OJS system by copying the plug-in directory to the appropriate directory. When using the plug-in, the user receives a list of journal issues that are available to him for export. To download the issue, select the issue and click on the “Export Issues” button. The program generates an archive and returns to the user. An example of the generated archive contains two pdf-files and one XML-file (see Fig. 6). When authorizing the Articulus system, the user will receive a list of issues that can be transferred for indexing in the Russian Science Citation Index. In the menu, you need to click the “Restore Project” button. The user will go to the project recovery page, where you need to upload the archive generated by the SirenEXPO plug-in.
After uploading the file, the user receives a brief description of the journal issue, which was restored using the import function to Russian Science Citation Index (see Fig. 7).
At the Articulus, you need to click the “Restore project” button, and then a dialog box will open, in which you need to select the archive file generated by the SirenEXPO plug-in. After uploading the archive, all metadata required for the Russian Science Citation Index will be successfully imported. It is also possible to go to the restored project using the link “Open Project”, in which there will be a window for editing the metadata of the journal. Editing of the restored project is depicted in Fig. 8.
So, with the help of SirenEXPO plug-in, you can export journal issues from the Open Journal Systems to the Russian Science Citation Index. The resulting archive is successfully uploaded into the Articulus – as a result, a new project with metadata imported from Open Journal Systems is created.
Fig. 8. Editing the restored project
As a result of the research, a new plug-in for the OJS was created, with the help of which you can export data to the scientometric database Russian Science Citation Index. The work describes the plug-in structure, the source code clearly shows where the information came from and how it was developed. If you need to create a new plug-in to OJS or add another scientometric database that needs to be imported, based on this development and research results, you can create new plug-ins for export to other scientometric databases, such as Index Copernicus. http://library.nlu.edu.ua/index.php?option=com_k2&view=itemlist&task=category&id=273 (2014). Accessed 1 Feb 2018 16. Tkachuk, V.V., Yechkalo, Yu.V., Semerikov, S.O.: Reitynh suchasnoho naukovtsia yak skladnyk reitynhu universytetu (The rating of a modern scientist as a component of the University’s ranking). In: Proceedings of the International Scientific and Technical Conference on Development of Industry and Society, Kryvyi Rih National University, Kryvyi Rih, 2426 May 2017 17. Van Heesch, D.: Doxygen: Generate documentation from source code. http://www.stack.nl/~dimitri/doxygen/ (2016). – Accessed 1 Feb 2018