Journal evaluation based on bibliometric indicators and the CERIF data model

Dragan Ivanović, Dušan Surla, Miloš Racković

In this paper we propose an application of extended CERIF data model for storing journal impact factors and journal scientific fields and also propose a journal evaluation approach based on these data. The approach includes an algorithm for journal evaluation based on one metric for journals ranking that is also stored using the CERIF data model and that is in accordance with the rule book for evaluation of scientific-research results which is prescribed by the Republic of Serbia. The algorithm does not unambiguously evaluate journal, i.e. the algorithm suggests possibly journal categories according to the values of the metric, but final decision is made by commission. The proposed evaluation approach is implemented within CRIS UNS and verified on scientific-research results of researchers employed at Department of Mathematics and Informatics, University of Novi Sad. The complete evaluation approach proposed in this paper is based on the CERIF standard that allows an easy application of this evaluation approach in any CERIF-compatible CRIS system.