Ivanović, Lidija

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Ivanović, Lidija

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    FAIRness at University of Novi Sad - Discoverability of PhD research results for Non-Serbian scientific community
    (euroCRIS, 2018-06-16)
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    The University of Novi Sad has more than 50,000 students and 5,000 employees and as such it is one of the largest educational and research centres in Central Europe. The University of Novi Sad offers 300 accredited study programmes on all study levels, undergraduate, masters, specialist and doctoral studies, which are carried out at the Faculties and University Centres for Interdisciplinary and Multidisciplinary Studies.
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    Multi-interoperable CRIS repository
    (euroCRIS, 2014-05-15)
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    The paper presents the Exporter component which facilitates export of scientific-research results metadata from CRIS systems and enables creation of multi-interoperable CRIS repositories. The Exporter architecture is extensible with plugins for export of scientific-research results by various protocols and metadata formats. The Exporter is implemented as part of the CRIS UNS system including three plugins for export data throw three protocols: OAI-PMH and SRU standardized protocols, as well as an XML non-standardized protocol for exporting data to a repository of published scientific-research results of the Autonomous Province of Vojvodina.
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    Thinker - a manufacturing company CRIS
    (euroCRIS, 2024-05-16)
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    The Oil Industry of Serbia (NIS j.s.c.) stands as a prominent energy conglomerate in Southeast Europe, specializing in oil and natural gas refining, research, production, and distribution. Integral to its operations is the Science and Technology Centre NIS (NTC), founded in 2012, which functions as a regional nexus for hydrocarbon scientific oversight. The Thinker platform, a derivative of DSpace-CRIS, underpins NTC's knowledge management. It boasts a robust architecture, bilingual interface, and advanced search capabilities via Apache Solr. The platform houses a diverse array of content, from articles and theses to standards and trainings, all meticulously cataloged by repository professionals. Emphasizing security, access is restricted within NIS's local network, ensuring monitoring and authentication through Microsoft Active Directory. Currently, efforts are underway to enhance user-centric reporting. With content spanning Serbian, Russian, and English languages, Thinker exemplifies NTC's commitment to cutting-edge knowledge dissemination and collaboration.
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    TeslaRIS: Reengineering of CRIS at the University of Novi Sad
    (euroCRIS, 2024-05-15)
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    The main product of the DOSIRD UNS project at the University of Novi Sad in Serbia (http://dosird.uns.ac.rs/) is the CRIS UNS platform which was put into operation in 2010. More than 40 thousand research domain entities have been cataloged in the last 13 years. The platform evolved by including a lot of new features in this period. Piled up technical debt, development of web frameworks, and changes in scholarly communication required us to consider reengineering of the CRIS UNS platform. Reengineering the platform should offer numerous benefits, including cost optimization by reducing maintenance expenses and enhancing developer efficiency. The refactored code ensures faster system responses, facilitating easier feature enhancements. Additionally, modernized software adapts better to evolving scholarly communication trends and academic needs. The new platform hopefully might be used even out of University of Novi Sad, therefore we called that TeslaRIS. CRIS UNS will be just one customization of the TeslaRIS open source software.
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    Enhancing Scholarly Knowledge Graph Interoperability through SKG-IF Integration in TeslaRIS
    (euroCRIS, 2026-05-21)
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    Research information systems (CRIS) and scholarly knowledge graphs (SKGs) are core components of modern research infrastructures. Numerous initiatives at institutional, national, and international levels support Open Science by exposing structured scholarly metadata. It includes institutional CRIS platforms, aggregator services such as OpenAIRE Graph, and OpenCitations, etc. Although many of these systems rely on graph-based representations, practical interoperability between them remains limited. Data exchange is often based on heterogeneous APIs, proprietary schemas, or only partially aligned semantic models, which leads to fragmentation and duplicated effort.