444 Copyright © 2016, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Chapter 23 DOI: 10.4018/978-1-4666-8756-1.ch023 Development of a Methodological Approach for Data Quality Ontology in Diabetes Management ABSTRACT The role of ontologies in chronic disease management and associated challenges such as defning data quality (DQ) and its specifcation is a current topic of interest. In domains such as Diabetes Management, a robust Data Quality Ontology (DQO) is required to support the automation of data extraction seman- tically from Electronic Health Record (EHR) and access and manage DQ, so that the data set is ft for purpose. A fve steps strategy is proposed in this paper to create the DQO which captures the semantics of clinical data. It consists of: (1) Knowledge acquisition; (2) Conceptualization; (3) Semantic modeling; (4) Knowledge representation; and (5) Validation. The DQO was applied to the identifcation of patients with Type 2 Diabetes Mellitus (T2DM) in EHRs, which included an assessment of the DQ of the EHR. The fve steps methodology is generalizable and reusable in other domains. Alireza Rahimi University of New South Wales, Australia & Isfahan University of Medical Sciences, Iran & SWSLHD General Practice Unit, Australia Nandan Parameswaran University of New South Wales, Australia Pradeep Kumar Ray University of New South Wales, Australia Jane Taggart University of New South Wales Australia, & SWSLHD General Practice Unit, Australia Hairong Yu University of New South Wales, Australia Siaw-Teng Liaw University of New South Wales, Australia & SWSLHD General Practice Unit, Australia