TY  - JOUR
TI  - OPEN DATA AND BIG DATA MODEL FOR HIGHER EDUCATION AND POSSIBLE OUTCOMES
AB  - The basic outputs of universities can be listed as education, research-development and service to society. Managerial software systems at universities generate large amount of open data during daily operations. The data generated by these systems contain valuable public institutional performance information along with critical private information. These public data can be classified, collected and processed by using big data approaches for performance monitoring. In this study, an open data platform is modelled, and issues are discussed related how open data is collected, stored and processed using big data approaches to extract interested performance information. It is shown that institutional performance information can be presented according to a wide variety of metrics from the collected data. Scientific studies that can be carried out in higher education using big data are examined under 4 headings: Creating an open data directive for universities, development of open data platform, institutional accreditation service, creating a digital twin.  This platform can be used for online institutional evaluation either by university management or accreditation agencies.
AU  - Kaynak, Sümeyye
AU  - Kaynak, Baran
AU  - Özmen, Ahmet
DO  - 10.22531/muglajsci.1201726
PY  - 2023
JO  - Mugla Journal of Science and Technology
VL  - 9
IS  - 1
SN  - 2149-3596
SP  - 7
EP  - 15
DB  - TRDizin
UR  - http://search/yayin/detay/1183843
ER  -