Collect, scope, and verify big data - A framework for institution accreditation
Document Type
Conference Proceeding
Source of Publication
Proceedings - IEEE 30th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016
Publication Date
5-17-2016
Abstract
© 2016 IEEE. Institutions in higher education generate terabytesof data that has great value to shape future of nations. This Big Data is in heterogeneous formats, very current, and in large volumes. We propose a framework to collect, scope and verify this large amount of data. Although the framework is explained in the context of institution accreditation in higher education, the framework can be applied in the fields of health-care, finance, marketing etc. Our framework is used to reduce human involvement in the collection and analysis of data, for the purpose of accreditation. The framework extends the scope of data collected to target the heterogeneous nature of the data. Finally, our framework helps to verify the data against a standard set by an accreditation body.
DOI Link
ISBN
9781509018574
Publisher
Institute of Electrical and Electronics Engineers Inc.
First Page
187
Last Page
192
Disciplines
Computer Sciences
Keywords
Big Data, Higher Education, Learning Analytics
Scopus ID
Recommended Citation
Hussain, Mohammed; Al-Mourad, Mohamed Basel; and Mathew, Sujith Samuel, "Collect, scope, and verify big data - A framework for institution accreditation" (2016). All Works. 963.
https://zuscholars.zu.ac.ae/works/963
Indexed in Scopus
yes
Open Access
no