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Article
Collect, scope, and verify big data - A framework for institution accreditation
Proceedings - IEEE 30th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016
  • Mohammed Hussain, Zayed University
  • Mohamed Basel Al-Mourad, Zayed University
  • Sujith Samuel Mathew, Zayed University
Document Type
Conference Proceeding
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.

ISBN
9781509018574
Publisher
Institute of Electrical and Electronics Engineers Inc.
Disciplines
Keywords
  • Big Data,
  • Higher Education,
  • Learning Analytics
Scopus ID
84983486413
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1109/WAINA.2016.45
Citation Information
Mohammed Hussain, Mohamed Basel Al-Mourad and Sujith Samuel Mathew. "Collect, scope, and verify big data - A framework for institution accreditation" Proceedings - IEEE 30th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016 (2016) p. 187 - 192
Available at: http://works.bepress.com/mohammed-hussain/18/