Dragan Ivanović

A CERIF data model extension for evaluation and quantitative expression of scientific research results

This paper presents a proposal of CERIF data model extension for evaluation of scientific research results. The data model extension is based on the CERIF semantic layer which enables classification of entities and relations between entities according to some classification scheme. The proposed data model was created using PowerDesigner CASE tool. The model is represented using a physical data model in the conceptual notation that is adopted in literature for representing the CERIF data model. This model is verified using the rule book for evaluation and quantitative expression of scientific research results of researchers employed at University of Novi Sad.

A CERIF‐compatible research management system based on the MARC 21 format

Purpose – 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.Design/methodology/approach – 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.Findings – 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 publication...

Automated construction of the user interface for a CERIF‐compliant research management system

Purpose – 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.Design/methodology/approach – 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...

A data model of theses and dissertations compatible with CERIF, Dublin Core and EDT‐MS

Purpose – 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.).Design/methodology/approach – 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.Findings – 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.Practical implications – CRIS‐UNS is a CRIS which has been develo...

Independent publications from Serbia in the Science Citation Index Expanded: a bibliometric analysis

This paper presents a bibliometric analysis of articles from the Republic of Serbia in the period 2006–2012 that are indexed in the Thomson Reuters SCI-EXPANDED database. The Republic of Serbia is a small country in Europe with about seven million citizens that became an independent country in 2006. Since 2006, Serbian science has achieved some recognition. Analysis included 14,293 articles with authors all from Serbia. Distribution of published articles in the Web of Science categories, journals, scientific-research institutions and researchers were analysed. Most cited independent research articles from Serbia were also analysed. The Y-index indicator for rating the productivity of researchers and institutions was used. This indicator takes into account the contribution of the researcher to the published results. The results showed that the productivity of articles from Serbia is significant compared to neighbouring Serbian countries, taking into account the number of researchers in these countries, their GDPs and the percentages of GDPs spent on research.

Highly cited articles in the Information Science and Library Science category in Social Science Citation Index: A bibliometric analysis

This study aims to identify and analyse the characteristics of highly cited articles published in the Information Science and Library Science category in the Social Science Citation Index. Articles that have been cited at least 100 times since publication up to the end of 2012 were analysed. We identified 501 highly cited articles published between 1956 and 2009 in 37 journals. MIS Quarterly published 26% of all analysed highly cited articles. The most productive researcher published 11 articles. Six bibliometric indicators were used to evaluate source institutions and countries. The 13 most productive institutions were all located in the USA and Canada. Harvard University in the USA was the most productive institution, ranked number one in the total number of highly cited articles, while the University of Maryland in the USA had the highest publication performance of first and corresponding author articles. Researchers from the USA contributed 67% of highly cited articles.

Publications from Serbia in the Science Citation Index Expanded: a bibliometric analysis

This paper presents a bibliometric analysis of articles from the Republic of Serbia in the period 2006–2013 that are indexed in the Thomson Reuters SCI-EXPANDED database. Analysis included 27,157 articles with at least one author from Serbia. Number of publications and its characteristics, collaboration patterns, as well as impact of analyzed articles in world science will be discussed in the paper. The number of articles indexed by SCI-EXPANDED has seen an increase in terms of Serbian articles that is considerably greater than the increase in number of all articles in SCI-EXPANDED. Researchers from Serbia have been involved in researches presented in several articles which have significant impact in world science. Beside indicators which take into account number of publications of certain type and number of citations, the analysis presented in this paper also takes authorship into consideration. The most cited analyzed articles have more than ten authors, but there were no first and corresponding authors from Serbia in these articles

A BIBO ontology extension for evaluation of scientific research results

The paper addresses the issue of semantic description of the bibliographic data in RDF and OWL. More precisely, the paper focuses on presenting scientific research results together with their evaluation and quantitative expression. The existing ontologies that are commonly used for describing bibliographic data are Dublin Core, FOAF and BIBO. The paper gives a proposal for presenting data for evaluation of scientific results as an extension of the BIBO ontology. The purpose of the research in this paper is going towards research management system integration in terms of evaluation of scientific research results for individuals and institutions.

Development of the software system CRIS UNS

An approach to modeling and implementation of the CRIS software system for the University of Novi Sad (CRIS UNS) is described in this paper. CRIS UNS system is implemented with an intention to fulfill all specific requirements prescribed by rule books of the University of Novi Sad, Provincial Secretariat for Science and Technological Development of Autonomous Province of Vojvodina, and Ministry of Education, Science and Technological Development of Republic of Serbia. In addition, the substantial requirement to be fulfilled by the system CRIS UNS is its interoperability with systems possessing large databases of scientific research results, thus improving the visibility of the scientific results achieved by researchers from University of Novi Sad and therefore raising the rating of the University.

Comparison of Collaborative and Content-Based Automatic Recommendation Approaches in a Digital Library of Serbian PhD Dissertations

Digital libraries have become an excellent information resource for researchers. However, users of digital libraries would be served better by having the relevant items ‘pushed’ to them. In this research, we present various automatic recommendation systems to be used in a digital library of Serbian PhD Dissertations. We experiment with the use of Latent Semantic Analysis (LSA) in both content and collaborative recommendation approaches, and evaluate the use of different similarity functions. We find that the best results are obtained when using a collaborative approach that utilises LSA and Pearson similarity.