• Andita Suci Pratiwi Universiti Teknikal Malaysia Melaka, Malaysia, Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Malaysia
  • Syarulnaziah Anawar Universiti Teknikal Malaysia Melaka, Malaysia, Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Malaysia




Data quality, information uncertainty, participatory sensing, mHealth


Research in data quality is important in participatory sensing area to provide integrity of the data contributed by participants in mHealth participatory campaign. Many factors can influence the integrity of data contribution. One of major concerns is the possibility of data truthfulness of being uncertain due to incompleteness, imprecision, vagueness, and fragmentary. In participatory sensing, the interpretation of data quality is rather loose and there is no established theoretical framework that represents the elements of data quality in mHealth participatory sensing system.  Therefore, the objective of this paper is two-fold: First, to investigate the variables of data quality that suits participatory sensing system. Second to propose a theoretical framework of data quality in mHealth participatory sensing. The finding will serve a guideline of data quality in mhealth participatory sensing.


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How to Cite

Suci Pratiwi, A., & Anawar, S. (2015). A THEORETICAL FRAMEWORK OF DATA QUALITY IN PARTICIPATORY SENSING: A CASE OF MHEALTH. Jurnal Teknologi, 77(18). https://doi.org/10.11113/jt.v77.6500