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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 187 - Issue 137 |
| Published: August 2026 |
| Authors: Xiaoying Li, Nopasit Chakpitak, Fang Miao, Piyachat Udomwong |
10.5120/ijcaaf6dc7c91597
|
Xiaoying Li, Nopasit Chakpitak, Fang Miao, Piyachat Udomwong . A Data Architecture for Building Health Data Governance and Its Logical Integrity Validation. International Journal of Computer Applications. 187, 137 (August 2026), 7-13. DOI=10.5120/ijcaaf6dc7c91597
@article{ 10.5120/ijcaaf6dc7c91597,
author = { Xiaoying Li,Nopasit Chakpitak,Fang Miao,Piyachat Udomwong },
title = { A Data Architecture for Building Health Data Governance and Its Logical Integrity Validation },
journal = { International Journal of Computer Applications },
year = { 2026 },
volume = { 187 },
number = { 137 },
pages = { 7-13 },
doi = { 10.5120/ijcaaf6dc7c91597 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2026
%A Xiaoying Li
%A Nopasit Chakpitak
%A Fang Miao
%A Piyachat Udomwong
%T A Data Architecture for Building Health Data Governance and Its Logical Integrity Validation%T
%J International Journal of Computer Applications
%V 187
%N 137
%P 7-13
%R 10.5120/ijcaaf6dc7c91597
%I Foundation of Computer Science (FCS), NY, USA
To address the dispersed sources, inconsistent representations, insufficient contextual associations, and non-uniform authorization mechanisms of building health data, this study proposes a Building Health Data Architecture (BHDA). The architecture enables the unified organization and controlled provision of raw and derived data through data preprocessing, standardized coding, unique identification, metadata registration, rights-attribution recording, and authorization rules. In the case validation, 300 data objects were registered, the derived-data association rate reached 100%, and all eight logical integrity checks were passed. The architecture also supported unauthorized-access rejection, multi-criteria queries, and standardized data output. The results demonstrate that BHDA provides a feasible framework for the governance and sharing of building health data.