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Visualization for Open Access: A Case Study of Karlstad University and the University of Makerere in Uganda
Karlstads universitet, Fakulteten för humaniora och samhällsvetenskap (from 2013), Handelshögskolan (from 2013).ORCID-id: 0000-0002-6849-6343
2018 (engelsk)Inngår i: Information and Software Technologies: 24th International Conference, ICIST 2018, Vilnius, Lithuania, October 4–6, 2018, Proceedings / [ed] Robertas Damaševičius; Giedrė Vasiljevienė, Cham: Springer, 2018, Vol. 920, s. 187-197Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Open Access (OA) research provides a platform to world-wide knowledge sharing, but the channels and possibilities are still limited. It is not always clearly defined how the process of publishing should take place. Information systems architectures are intrinsically complex engineering products that can be defined graphically on various levels of abstractions and represented using different aspects of the system. For that reason enterprise architecture is not easy to comprehend for different actors involved. Graphical representations of different business scenarios are critical to understand how different aspects of the system descriptions are analysed in relation to each other and how requirements from different perspectives are perceived as a whole. The goal of this paper is to introduce the modelling method for visualization of the process of publication of BSc thesis into institutional repositories. Universities need to investigate undergraduate students’ publications of their graduate work (BSc thesis) to promote knowledge of university repositories. Two different modelling methods were used to visualize publishing process and two case studies at two different universities were made. The results indicated and motivated that SICM method had more semantic power to visualize business process in a more comprehensive way.

sted, utgiver, år, opplag, sider
Cham: Springer, 2018. Vol. 920, s. 187-197
Serie
Communications in Computer and Information Science, E-ISSN 1865-0929 ; 920
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-69554DOI: 10.1007/978-3-319-99972-2_15ISI: 000465511800015ISBN: 978-3-319-99971-5 (tryckt)ISBN: 978-3-319-99972-2 (digital)OAI: oai:DiVA.org:kau-69554DiVA, id: diva2:1254644
Konferanse
24th International Conference, ICIST 2018, Vilnius, Lithuania, October 4–6, 2018
Tilgjengelig fra: 2018-10-09 Laget: 2018-10-09 Sist oppdatert: 2019-06-11bibliografisk kontrollert

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