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Dissertations from the University of Novi Sad (UNS) are integrated with the research information system called the current research information system (CRIS) UNS. This paper aims to present a proposal for an extension of this system to enable the storage of student papers as prescribed by PhD study exam obligations. The proposed extension enables preservation and improves discoverability of scientific and technical works produced by students during their PhD studies.

An analysis of examination modes in accredited PhD study programs has been conducted. It was noted that students in examination modes verify the obtained results in the form of scientific and technical work. The main idea of this paper is to enable the preservation of those student results and to implement electronic services for retrieving those results by current and future PhD students to empower the development of science.

The proposal includes an extension of the CRIS UNS to store and publish student papers as prescribed as a PhD study exam obligation; an extension of the CERIF data model to enable storing of student papers; cataloguing student papers in the MARC 21 format; and a way to represent student papers in the Dublin Core format.

This paper can be a starting point for initiatives for the creation of institutional, regional, national and international Web portals for searching and browsing papers by PhD students.

This system offers the improvement of cooperation between PhD students from different institutions and countries.

The paper presents an extension of institutional, national and international current research information system (CRIS) systems which will enable the preservation and improve discoverability of student papers produced during PhD studies. The proposed extension has been verified by its implementation within the CRIS UNS system, which also supports monitoring of the scientific competencies of students based on an automatic evaluation of published scientific results.

The purpose of this paper is to determine the digital library usage patterns as a means of improving the system, as well as the user experience, to give appropriate recognition to the most popular dissertations’ authors and to measure the interest of non-academic users for dissertations defended at the University of Novi Sad (UNS).

A logging module of the digital library of theses and dissertations of University of Novi Sad (PHD UNS) application has been implemented. The module recorded the messages relating to the search queries and downloads over a three-year period from 2017–2019. These logs are analysed using the Elasticsearch, Logstash and Kibana (ELK) technology stack and the results are shown using graphs and tables.

The analysis determined the perfect time for weekly maintenance of the system, defined a recommendation for improving the system and revealed the most popular dissertations. A significant number of downloads and queries originated from citizens, i.e. users outside the academic community.

The conducted analysis defined recommendations for the system improvement which can be used by PHD UNS research and development (R&D) team and revealed the most popular dissertations which are used for the promotion of its authors through faculties’ websites.

To the best of the authors’ knowledge, this is the first study of ELK based log analysis of a Serbian language documents’ repository. Besides, the value of results for the PHD UNS R&D team and UNS rector team, the study proves that PhD digital library presents an important Open Science communication channel for presenting scientific results to the citizens.

The purpose of this article is to describe a proposition for the evaluation of citations of scientific papers, which could serve as a supplement to the existing Rule Book of the Ministry of the Republic of Serbia, which is used in the procedure of electing candidates for particular academic and research titles. The evaluation and quantitative presentation of the results and evaluation of citations were carried out on data taken from the database of the Current Research Information System of the University of Novi Sad (CRIS UNS), which is harmonized with the Rule Book of the Ministry with respect to the evaluation of published scientific results of researchers.

There are different criteria to evaluate the quality of scientific papers based on their citations. The pertinent parameters can be the total number of citations, the number of citations in a defined time period and by assigning the appropriate weighting values to the citations. This work proposes a procedure of assigning the citation weighting values based on the evaluation of the scientific results in which the citation appeared according to the Rule Book in the Republic of Serbia. Based on this, the authors introduced the impact factor of researchers as the ratio of the number of points of the evaluated citations and the number of points of the evaluated papers of the researcher.

Results showed that the research information system CRIS UNS can be extended to the evaluation of citations for a single researcher, groups of researchers and institutions.

The proposed solution enables the evaluation of citations in the process of election and promotion of academic staff. In this way, there is a means for measuring the scientific influence of a researcher in the relevant scientific area.

The evaluation of citations may be included in the national strategies of scientific development, funding and evaluation of research projects; for promotions of academic staff at the universities and other academic institutions; and ranking of researchers and research organizations.

The main idea presented in the paper is the definition of a rule book (or several rule books) for the evaluation of citations. Based on the evaluation of citations, the authors proposed the term “the impact factor of researcher”.

The purpose of this paper is to boost multidisciplinary research by the building of an integrated catalogue or research assets metadata. Such an integrated catalogue should enable researchers to solve problems or analyse phenomena that require a view across several scientific domains.

There are two main approaches for integrating metadata catalogues provided by different e-science research infrastructures (e-RIs): centralised and distributed. The authors decided to implement a central metadata catalogue that describes, provides access to and records actions on the assets of a number of e-RIs participating in the system. The authors chose the CERIF data model for description of assets available via the integrated catalogue. Analysis of popular metadata formats used in e-RIs has been conducted, and mappings between popular formats and the CERIF data model have been defined using an XML-based tool for description and automatic execution of mappings.

An integrated catalogue of research assets metadata has been created. Metadata from e-RIs supporting Dublin Core, ISO 19139, DCAT-AP, EPOS-DCAT-AP, OIL-E and CKAN formats can be integrated into the catalogue. Metadata are stored in CERIF RDF in the integrated catalogue. A web portal for searching this catalogue has been implemented.

Only five formats are supported at this moment. However, description of mappings between other source formats and the target CERIF format can be defined in the future using the 3M tool, an XML-based tool for describing X3ML mappings that can then be automatically executed on XML metadata records. The approach and best practices described in this paper can thus be applied in future mappings between other metadata formats.

The integrated catalogue is a part of the eVRE prototype, which is a result of the VRE4EIC H2020 project.

The integrated catalogue should boost the performance of multi-disciplinary research; thus it has the potential to enhance the practice of data science and so contribute to an increasingly knowledge-based society.

A novel approach for creation of the integrated catalogue has been defined and implemented. The approach includes definition of mappings between various formats. Defined mappings are effective and shareable.

The aim of this research is to define a data model of theses and dissertations that enables data exchange with CERIF‐compatible CRIS systems and data exchange according to OAI‐PMH protocol in different metadata formats (Dublin Core, EDT‐MS, etc.).

Various systems that contain metadata about theses and dissertations are analyzed. There are different standards and protocols that enable the interoperability of those systems: CERIF standard, AOI‐PMH protocol, etc. A physical data model that enables interoperability with almost all of those systems is created using the PowerDesigner CASE tool.

A set of metadata about theses and dissertations that contain all the metadata required by CERIF data model, Dublin Core format, EDT‐MS format and all the metadata prescribed by the University of Novi Sad is defined. Defined metadata can be stored in the CERIF‐compatible data model based on the MARC21 format.

CRIS‐UNS is a CRIS which has been developed at the University of Novi Sad since 2008. The system is based on the proposed data model, which enables the system's interoperability with other CERIF‐compatible CRIS systems. Also, the system based on the proposed model can become a member of NDLTD.

A system based on the proposed model increases the availability of theses and dissertations, and thus encourages the development of the knowledge‐based society.

A data model of theses and dissertations that enables interoperability with CERIF‐compatible CRIS systems is proposed. A software system based on the proposed model could become a member of NDLTD and exchange metadata with institutional repositories. The proposed model increases the availability of theses and dissertations.

Entering data about published research results should be implemented as a web application that enables authors to input their own data without the knowledge of the bibliographic standard. The aim of this research is to develop a research management system based on a bibliographic standard and to provide data exchange with other research management systems based on the Common European Research Information Format (CERIF) data model.

Object‐oriented methodology was used for information system modelling. The modelling was carried out using the computer‐aided software engineering (CASE) tool that supports the Unified Modelling Language 2.0 (UML 2.0). The implementation was realised using a set of open‐source solutions written in Java.

The result is a system for managing data about published research results. The main system features are the following: public access via the web; authors input data about their own publications by themselves; data about publications are stored in the MARC 21 format; and the user interface enables authors to input data without the knowledge of the MARC 21 format.

A method of verifying accuracy of entered data has not been considered yet. It is necessary to allow authorised persons to verify the accuracy of the data. After verifying the accuracy the authors cannot change the data.

This software system has been verified and tested on data about published results of researchers employed at the University of Novi Sad in Serbia. This system can be used for evaluation and reporting on scientific research results, generating bibliographies of researchers, research groups and institutions etc.

A part of the research management system for entering data about authors and published results is implemented. Data about publications are stored in a bibliographic format and authors can input data about their own publications without the knowledge of the bibliographic standard. The main feature of the system architecture is mutual independence of the component for interaction with users and the component for persisting and retrieving data from the bibliographic records database.

The aim of this paper is to develop a system for automatic extraction of metadata from scientific papers in PDF format for the information system for monitoring the scientific research activity of the University of Novi Sad (CRIS UNS).

The system is based on machine learning and performs automatic extraction and classification of metadata in eight pre‐defined categories. The extraction task is realised as a classification process. For the purpose of classification each row of text is represented with a vector that comprises different features: formatting, position, characteristics related to the words, etc. Experiments were performed with standard classification models. Both a single classifier with all eight categories and eight individual classifiers were tested. Classifiers were evaluated using the five‐fold cross validation, on a manually annotated corpus comprising 100 scientific papers in PDF format, collected from various conferences, journals and authors' personal web pages.

Based on the performances obtained on classification experiments, eight separate support vector machines (SVM) models (each of which recognises its corresponding category) were chosen. All eight models were established to have a good performance. The F‐measure was over 85 per cent for almost all of the classifiers and over 90 per cent for most of them.

Automatically extracted metadata cannot be directly entered into CRIS UNS but requires control of the curators.

The proposed system for automatic metadata extraction using support vector machines model was integrated into the software system, CRIS UNS. Metadata extraction has been tested on the publications of researchers from the Department of Mathematics and Informatics of the Faculty of Sciences in Novi Sad. Analysis of extracted metadata from these publications showed that the performance of the system for the previously unseen data is in accordance with that obtained by the cross‐validation from eight separate SVM classifiers. This system will help in the process of synchronising metadata from CRIS UNS with other institutional repositories.

The paper documents a fully automated system for metadata extraction from scientific papers that was developed. The system is based on the SVM classifier and open source tools, and is capable of extracting eight types of metadata from scientific articles of any format that can be converted to PDF. Although developed as part of CRIS UNS, the proposed system can be integrated into other CRIS systems, as well as institutional repositories and library management systems.

This paper aims to examine the goal, which is to construct a user interface for CERIF‐compatible research management systems in an automated way. The system has to support all data items defined by the CERIF data model. The result of the automated construction is a functioning software system that can be customised according to the specific needs by manual changes in the program code.

The Model‐Driven Architecture (MDA) approach to software engineering is based on the idea of automated construction of software applications based on the model of a system. System modelling usually utilises the Unified Modelling Language (UML). A specific UML profile (extension) used for describing user interface‐related aspects of the system model is defined. It is used to define the behaviour of the user interface in the model itself. By relying on the concept of a standard generic screen form implementing common data management operations and tools for automatic code generation it is possible to obtain a fully functional software application that is completely defined by the system model.

A proposal of an automated user interface construction method for CERIF‐compatible research management systems is defined. The proposed application enables the management of all CERIF‐specified data items and facilitates the customisation of the model according to the specific needs. The customisation process is automated by using the tools for user interface code generation based on human‐computer interaction (HCI) standard defining the layout and behaviour of generic screen forms. The amount of automatically generated application functionality justifies the use of the model‐driven approach to software development.

Using the model of a system it is possible to efficiently produce a functional software application that can further be customised according to the needs of specific institutions and users. The customisation process itself is made efficient since it is iteratively performed using the same cycles of modelling and software generation. The proposed method for automated user interface construction is used for implementing the web application for research management at the University of Novi Sad.

A proposal for efficient software system development and its customisation is given. This way a software application is obtained that can be quickly adapted to new requirements and used in different research management systems based on a CERIF‐compatible data model.

The main aim of this paper is to develop a CRIS systems search profile that would enable CRIS users to perform unified and semantically rich search for the records stored in the CRIS systems.

Prior to the search profile construction, diverse representative types of the scientific research data store systems (CRISs, digital libraries, institutional repositories, and search portals) were analyzed versus available search modes, indexes and query types.

The new SRU/W standard based search profile (CRIS profile) for the purpose of searching scientific research data was proposed, that supports search for all types of data identified through an exhaustive analysis covering all major scientific and research data store systems.

Constraints of the proposed profile could appear from the fact that data identified in analyzed systems do not comprise all scientific research data recognized by CERIF standard which, in turn, could call for the profile extension.

Search profile has been verified on the data in the existing CRIS systems at the University of Novi Sad. The CRIS search profile enables unified and semantically rich search for the data stored in heterogeneous distributed scientific research data store systems.

The new SRU/W-based search profile extensively supports the search domain of scientific research data in CRIS systems. Commitments to SRU/W and CQL standards enable interoperability among heterogeneous, distributed scientific research data sources.

The purpose of this research is to observe all data from the Common European Research Information Format (CERIF) data model that can be described using bibliographic standards and move those data to a data model of bibliographic standard.

Analysis of the CERIF data model and the MARC 21 format has shown that some elements of the CERIF data model could be mapped to the MARC 21 bibliographic record. A CERIF compatible data model based on the MARC 21 format is proposed. The data model was created using PowerDesigner CASE tool. The proposed data model is represented using a physical data model in the conceptual notation that is adopted in the literature for representing the CERIF data model.

A CERIF compatible data model based on the MARC 21 format is proposed. The proposed model contains all the data from the CERIF2008 data model. The central part of the proposed model is MARC 21 data model that is used as a replacement for 27 entities of the CERIF data model, including all their attributes as well as part of the attributes in entities related to organisational unit. The mappings between attributes of entities of the CERIF data model and the data model of the MARC 21 format are described.

The CERIF compatible data model based on the MARC 21 format does not support all restrictions on data types, which are defined by the CERIF data model. This means that such restrictions have to be controlled by software.

The central part of the proposed CERIF compatible data model is a data model of MARC 21 format. It means that most of the data are modelled according to bibliographic standard, which is very widespread worldwide. This implies that the proposed CERIF model can be easily implemented within the existing library infrastructure. In addition, the proposed model can be used for other purposes, such as the evaluation of scientific research results, generating bibliographies of researchers, and institutions, the citations etc. A research management system based on the proposed model is implemented. Also, this system is verified and tested on data about published results of researchers employed at University of Novi Sad, Serbia.

A new data model compatible with the CERIF data model is proposed. The basic idea is to map part of the CERIF data model related to published results of scientific research to some well‐known bibliographic standard. It was shown that this part of the data model could be mapped to the MARC 21 data model. It can be mapped to data models of any other MARC standards in a similar way.