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Obtaining statistical data

Projects / Programmes source: ARIS

Information systems

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Periods
January 1, 2018 - December 31, 2027
Research activity

Code Science Field Subfield
2.07.00  Engineering sciences and technologies  Computer science and informatics   
5.13.00  Social sciences  Information science and librarianship   

Code Science Field
P175  Natural sciences and mathematics  Informatics, systems theory 

Code Science Field
1.02  Natural Sciences  Computer and information sciences 
5.08  Social Sciences  Media and communications 
Keywords
information systems (IS), managing complexity, quality assurance, IS architectures, data and systems integration, advanced IS development approaches, software engineering, process management, intelligent systems, information security, software metrics, quality evaluation models, user experience
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Points
15,746.02
A''
2,362.81
A'
6,481.49
A1/2
9,480.82
CI10
12,958
CImax
999
h10
49
A1
53.45
A3
17.84
Data for the last 5 years (citations for the last 10 years) on April 23, 2024; A3 for period 2018-2022
Data for ARIS tenders ( 04.04.2019 – Programme tender , archive )
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Database Linked records Citations Pure citations Average pure citations
WoS  557  8,304  7,737  13.89 
Scopus  934  14,295  13,181  14.11 
Researchers (36)
no. Code Name and surname Research area Role Period No. of publications
1.  35512  PhD Tina Beranič  Computer science and informatics  Researcher  2018 - 2024  134 
2.  18848  PhD Boštjan Brumen  Computer science and informatics  Researcher  2018 - 2024  365 
3.  55904  Ivona Colakovic  Computer science and informatics  Junior researcher  2021 - 2024  5 
4.  09796  PhD Matjaž Colnarič  Computer science and informatics  Researcher  2018 - 2022  358 
5.  54806  Špela Čučko  Computer science and informatics  Junior researcher  2020 - 2024  12 
6.  09449  PhD Marjan Družovec  Interdisciplinary research  Researcher  2018 - 2019  416 
7.  38800  PhD Iztok Fister ml.  Computer science and informatics  Researcher  2018 - 2024  384 
8.  11064  PhD Marjan Heričko  Computer science and informatics  Head  2018 - 2024  906 
9.  53588  Tjaša Heričko  Computer science and informatics  Junior researcher  2019 - 2024  25 
10.  25426  PhD Marko Hölbl  Computer science and informatics  Researcher  2018 - 2024  501 
11.  34012  PhD Gregor Jošt  Computer science and informatics  Researcher  2019  51 
12.  24912  PhD Aida Kamišalić Latifić  Computer science and informatics  Researcher  2018 - 2022  165 
13.  36086  PhD Sašo Karakatič  Computer science and informatics  Researcher  2018 - 2024  155 
14.  56896  Vid Keršič  Computer science and informatics  Junior researcher  2022 - 2024  29 
15.  23366  PhD Boštjan Kežmah  Computer science and informatics  Researcher  2018 - 2024  240 
16.  38217  PhD Marko Kompara  Computer science and informatics  Researcher  2018 - 2024  44 
17.  31009  PhD Katja Kous  Computer science and informatics  Researcher  2020 - 2024  90 
18.  17154  Boris Lahovnik  Computer science and informatics  Technical associate  2018 - 2024  14 
19.  53594  Vida Lang  Educational studies  Junior researcher  2022 - 2023  44 
20.  17155  Stanislav Moraus    Technical associate  2018 - 2024  32 
21.  33254  PhD Lili Nemec Zlatolas  Interdisciplinary research  Researcher  2018 - 2024  138 
22.  27561  PhD Luka Pavlič  Computer science and informatics  Researcher  2018 - 2024  173 
23.  16304  PhD Vili Podgorelec  Computer science and informatics  Researcher  2018 - 2024  480 
24.  23587  PhD Gregor Polančič  Computer science and informatics  Researcher  2018 - 2024  358 
25.  23393  PhD Maja Pušnik  Computer science and informatics  Researcher  2018 - 2024  179 
26.  08067  PhD Ivan Rozman  Computer science and informatics  Researcher  2018 - 2019  822 
27.  58046  Vasilka Saklamaeva  Computer science and informatics  Junior researcher  2023 - 2024  6 
28.  20454  Miha Strehar    Technical associate  2018 - 2024  10 
29.  13962  PhD Andrej Šorgo  Educational studies  Researcher  2018 - 2024  767 
30.  20199  PhD Matej Šprogar  Computer science and informatics  Researcher  2018 - 2024  105 
31.  24411  PhD Gregor Štiglic  Public health (occupational safety)  Researcher  2018 - 2024  510 
32.  23392  PhD Boštjan Šumak  Computer science and informatics  Researcher  2018 - 2024  311 
33.  39791  PhD Muhamed Turkanović  Computer science and informatics  Researcher  2018 - 2024  210 
34.  12508  PhD Domen Verber  Computer science and informatics  Researcher  2018 - 2024  343 
35.  50652  PhD Grega Vrbančič  Computer science and informatics  Researcher  2019 - 2024  48 
36.  06794  PhD Tatjana Welzer Družovec  Interdisciplinary research  Researcher  2018 - 2024  783 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  0796  University of Maribor, Faculty of Electrical Engineering and Computer Science  Maribor  5089638003  27,543 
Abstract
The proposed research programme (RP) addresses the management of complexity and quality assurance in design, development, implementation, deployment and governance of IS. It is focused on the development of new approaches, methods, concepts and algorithms in areas that facilitate the process of digital transformation. The complexity is growing in all phases of IS lifecycle. We are witnessing an intense production of data, which is increasingly diverse, unstructured and distributed to many heterogeneous sources, where it is being rapidly generated. Dealing with the complexity of data processing is the first key task, and forms the basis for all other activities. The growth of data and IT development has led to increasingly complex IS architectures that underpin modern IS. As the second key task the RP addresses the challenges of efficiency, compliance, scalability and interoperability of IS architectures. Advanced technologies and approaches to IS development are closely linked to the establishment of a continuous, preferably uninterrupted process, which shortens the time from business ideas to their implementation. By monitoring and controlling the developed services, it leads to their improvement and upgrades. Ensuring efficient models and frameworks for the development of IS and ICT-based services is thus the third key task of the RP. In view of improving user engagement, meeting their requirements and adapting to their role, the understanding and managing of context-aware, user-centered processes is crucial. The appropriate modelling of such processes allows for simplification and represents the first of the operational areas of the RP. The second operational area comprises research in the field of intelligent systems, the results of which are used for semantic integration and the development of low-complex predictive models. These models enable one to identify the characteristics of data, processes and their impact on resources, and consequently support different stages of IS, thereby reducing their complexity. The third operational area addresses quality assurance from the security and privacy point of view throughout the entire IS lifecycle. The research results of the cyber-physical systems design, the fourth operational area, primarily cover the issues of dependability, reliability and safety. Managing complexity is the key to quality assurance and sustainable development, which is addressed by systematically introducing the models for evaluating quality throughout the entire process of IS development. The quality of user experience represents the last operational area, which also addresses users with special needs. The joint research results of all the proposed tasks will allow one to achieve the fundamental objectives of the IS: better decision-making from the user's perspective, and a less complex development process from the perspective of the developer.
Significance for science
The main objective of the proposed research program (RP) is to develop and deliver new science-based knowledge for the efficient and effective management of challenges in complexity and quality in the design, development, implementation, deployment, and governance of IS and ICT-based services. The proposed RP addresses these challenges by conducting research in the following interrelated areas: IS architectures, advanced IS development approaches, process management, intelligent systems, security and privacy, cyber-physical systems (CPS) design and the quality of the user experience. The aim of the research within the RP is to develop and evaluate new theories, models, methods, and algorithms in the areas that are needed for the digital transformation process. The digital transformation and the fourth industrial revolution confronted IS with new requirements, both in terms of performance, usability and reliability, as well as in terms of shortening the development cycles, reducing development costs and improving processes. The RP addresses several goals, the results of which will have a significant impact on further research outside IS development. In order to manage the complexity of data, which is becoming increasingly diverse, unstructured and distributed across heterogeneous sources, the research conducted within the proposed RP will develop new methods for the acquisition, integration and analysis of data and contribute to the development of areas of data analytics and machine learning. Research in the field of intelligent systems will develop innovative methods of semantic data integration to allow the development of new predictive models that will facilitate the identification of the characteristics of the data, processes, their impact on resources and the optimization of various IS development stages with the aim of reducing their complexity. With the rise and increasing complexity of data and IT development, the complexity of modern IS architectures is enhanced as well. The aim of research within the RP is to upgrade existing, or develop new, methods and approaches to ensure efficient, compliant, scalable and interoperable IS architectures based on modern ICT. Advanced IS development approaches require the establishment of a seamless and continuous process, which shortens the time from business ideas to their realization and enables the improving and upgrading of developed services based on monitoring and management. The research within the proposed RP aims to ensure the foundation for the development of new models and frameworks that will enable the challenges of modern, agile and iterative processes and practices in the development of the IS and services to be addressed more efficiently. Demands for greater involvement of users, meeting their requirements and adapting their roles requires an efficient understanding of context-based, user-driven processes. The convergence of methods for the modelling and analysis of processes, which will allow insight into the processes, can play a key role in autonomous management and optimization of social and business processes. Thus, the RP is also directed towards the development of scientific knowledge in the field of efficient process modelling and optimization. The proposed RP will contribute by conducting research in the field of quality assurance in terms of security, privacy and trust throughout the entire cycle of development of a modern information system. The developed innovative security protocols will significantly contribute to the development of the field of secure communications and the next generation of social software. The research results of the proposed RP in the field of CPS design will be focused primarily on the development of methods for coping with their complexity and dependability, and improving their acceptance in society. Efficient complexity management is key to ensuring quality and sustainable development, which will be addressed in the context of
Significance for the country
The digital transformation of a society is a prerequisite for sustainable development. RP will focus on different interdisciplinary areas that are related to the priorities outlined in national strategic documents (Digital Slovenia 2020, Slovenia's Smart Specialisation Strategy S4, Cybersecurity strategy). Information systems (IS) are regarded as keystones of prospective economic growth, sustainable development, and democratic society. We cannot imagine the functioning of a modern information society without effective IS, defined as the backbone that people and organizations use to collect, filter, process, create and distribute data. IS are cornerstones and by way of an analogy, the “circulatory system” of a modern digital society inhabited by digitally literate citizens. With the growing digital transformation of society and its subsystems, the need for IS and the dependence on IS is increasing as well. IS are increasingly affecting the operation of social and business systems, organizations and their users, outgrowing the typical supporting role and instead becoming the central enabler of ICT-based services. Many of the scientific and practical outcomes will be adapted for use in the industry. Generated knowledge, research results, and innovations will be transferred to companies in the region through previously well-established cooperation mechanisms (research and development projects, demonstrations, prototypes, adopting patented solutions and promoting new approaches, tools and technologies at professional conferences). The results in the areas of innovative database solutions, intelligent analysis of audit trails and event logs in IS, will enable companies to have a competitive advantage in the field of applications with results for the automatic detection of risks and vulnerabilities. Consolidation and standardization in the area of process modeling will have positive effects on business process optimization in organizations. The introduction of graphical highlights into process diagrams and corresponding IT support (e.g. modeling tools) will improve the management of a system of processes and contribute to the quality of decision-making processes. The application of the developed methods in the field of software engineering will support software process improvement activities in IT companies as well as in IT/IS departments. Methods, techniques and guidelines for the implementation of complex and reliable cyber-physical systems will enable the faster and more effective development of new industrial products. Additional impacts of scientific and professional outcomes for society are foreseen in public administration and other public organizations (e.g. health and education). Improved user experience (UX) and IS quality is expected in different domains, including medicine, education or training and smart buildings. Alternative approaches to the integration of structured and unstructured data sources, administered in healthcare, will provide a better support to clinical decision-making, thus improving the quality of healthcare and reducing costs. The applications of intelligent systems research in medicine will allow for easier access to collected data, a better understanding of discovered patterns and a more efficient evaluation of healthcare processes. This will lead to a higher quality of life for individuals, especially those in the most vulnerable groups (e.g. patients with chronic diseases and the elderly). The usage and adaptation of the developed methods in the field of education will contribute to better information literacy, an effective social engagement and better requirements compliance with the digital transformation. The results will improve the level of involvement of users who previously did not have appropriate IT accessibility and inclusion. Optimized and innovative security mechanisms will provide cost-effective products or solutions, which will lead to secure and safe IS and services. The level of
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