Towards big data quality framework for Malaysia’s public sector open data initiative

Mohamad Taha Ijab, Azlina Ahmad, Abdul Kadir Rabiah, Suraya Hamid

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper is about the conceptual development of the Big Data Quality Framework for Malaysia’s Public Sector Open Data Initiative (My-PSODI). At the moment, there is a lack of Big Data Quality Framework in existence particularly that is focusing on the specific context and needs of Malaysia’s Public Sector Open Data initiative. Most of existing data quality frameworks are catering the needs of traditional data types (i.e., structured data) and are very generic in nature. Due to the explosion of big data which consists mostly of unstructured data and structured data, and Malaysia’s vision of leveraging data in modernizing its service delivery, a new framework addressing the needs of Big Data for Malaysia is needed. Based on an extensive literature review, we develop a conceptual framework and systematic methodologies of how to construct the said framework to its fruition.

Original languageEnglish
Title of host publicationAdvances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings
PublisherSpringer Verlag
Pages79-87
Number of pages9
Volume10645 LNCS
ISBN (Print)9783319700090
DOIs
Publication statusPublished - 1 Jan 2017
Event5th International Visual Informatics Conference, IVIC 2017 - Bangi, Malaysia
Duration: 28 Nov 201730 Nov 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10645 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Visual Informatics Conference, IVIC 2017
CountryMalaysia
CityBangi
Period28/11/1730/11/17

Fingerprint

Public Sector
Malaysia
Data Quality
Explosions
Framework
Big data
Literature Review
Explosion
Moment
Methodology

Keywords

  • Big data
  • Data quality framework
  • Open data

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Ijab, M. T., Ahmad, A., Rabiah, A. K., & Hamid, S. (2017). Towards big data quality framework for Malaysia’s public sector open data initiative. In Advances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings (Vol. 10645 LNCS, pp. 79-87). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10645 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-70010-6_8

Towards big data quality framework for Malaysia’s public sector open data initiative. / Ijab, Mohamad Taha; Ahmad, Azlina; Rabiah, Abdul Kadir; Hamid, Suraya.

Advances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings. Vol. 10645 LNCS Springer Verlag, 2017. p. 79-87 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10645 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ijab, MT, Ahmad, A, Rabiah, AK & Hamid, S 2017, Towards big data quality framework for Malaysia’s public sector open data initiative. in Advances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings. vol. 10645 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10645 LNCS, Springer Verlag, pp. 79-87, 5th International Visual Informatics Conference, IVIC 2017, Bangi, Malaysia, 28/11/17. https://doi.org/10.1007/978-3-319-70010-6_8
Ijab MT, Ahmad A, Rabiah AK, Hamid S. Towards big data quality framework for Malaysia’s public sector open data initiative. In Advances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings. Vol. 10645 LNCS. Springer Verlag. 2017. p. 79-87. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-70010-6_8
Ijab, Mohamad Taha ; Ahmad, Azlina ; Rabiah, Abdul Kadir ; Hamid, Suraya. / Towards big data quality framework for Malaysia’s public sector open data initiative. Advances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings. Vol. 10645 LNCS Springer Verlag, 2017. pp. 79-87 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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