Purpose: The purpose of this paper is to describe the findings of a survey of Bulgarian faculty about the extent to which their research is openly available, awareness of the European Union Competitiveness Council open access goal, support for the goal and preferences for achieving it.Design/methodology/approach: The authors conducted a survey of 584 faculty at six universities in Bulgaria using the Qualtrics online survey software. There were 222 effectively surveyed respondents.Findings: Bulgarian researchers are aware of arguments in favor of open access and believe that it benefits researchers in their discipline. Only a little more than a third of Bulgarian faculty are familiar with the E.U. goal of open access to all publicly-funded research by 2020. Once the goal is explained, they support it. Authors may not understand the intricacies of green and gold open access, but they are willing to meet the E.U. goal by either publishing in open access journals (the gold method) or depositing articles in open access repositories (the green method).Research limitations/implications: The results are useful to countries and funding agencies interested in achieving open access to state funded research.Originality/value: To date, there has been no research that seeks to determine the degree to which researchers are aware of the E.U. Competitiveness Council’s goal or that seeks to determine faculty preferences for achieving that goal. This paper explores methods available for achieving open access to the results of publicly funded research in Bulgaria.

Purpose: – The purpose of the paper is to provide a comparative retrospective analysis of Bulgarian, Turkish and Croatian Open Access (OA) journals added in Directory of Open Access journals (DOAJ) in the period 2002-2013.Design/methodology/approach: – First of all, the study is focussed on brief review of definitions and descriptions of the OA as a global movement. In the study were analyzed the three main OA initiatives and was shown the difference between Golden Road and Green Road. Second of all, the authors used the comparative approach and made a comparative study of the OA journals in Bulgaria, Turkey and Croatia and present the evaluation results and findings.Findings: – Qualitative and quantitative data for the study are collected by the DOAJ. The data are analyzed in terms of quantity and period, and the results are presented graphically and tabular and finally there are made major specific conclusions and recommendations.Originality/value: – The paper shows that OA in the digital space has an important position in scientific research. There are many discussion issues related to the problems of OA, but overall study of OA to scientific information, and in particular comparative study of Bulgarian, Turkish and Croatian journals in the DOAJ does not exist at the moment.

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With the advancement of Mixed Reality (MR) technologies and bioinformatics, researchers are exploring new ways to enhance the visualization and analysis of genomic data. The integration of MR technologies in bioinformatics research has the potential to revolutionize the way scientists interpret complex biological information. This article discusses the application of MR in genomic data visualization and analysis, highlighting its advantages in facilitating a more immersive and interactive experience. In particular, we will present case studies related to the implementation of the Unreal Engine in MR for bioinformatics research. As part of the research, the role of intellectual property in bioinformatics will be analyzed, providing insights into its significance and implications in the field. The integration of MR can improve collaboration among researchers and assist in the understanding of intricate patterns within genomic datasets. Furthermore, the article examines the challenges faced in implementing MR technologies in bioinformatics and addresses possible solutions to overcome these obstacles. Overall, the integration of MR in bioinformatics research has the potential to reshape the field and drive innovation in genomic data analysis.