Developing an Ontology-Driven and Governance-Integrated Method for Information Dashboard Design

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Publicat a:International Journal of Advanced Computer Science and Applications vol. 16, no. 6 (2025)
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Science and Information (SAI) Organization Limited
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022 |a 2156-5570 
024 7 |a 10.14569/IJACSA.2025.0160643  |2 doi 
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100 1 |a PDF 
245 1 |a Developing an Ontology-Driven and Governance-Integrated Method for Information Dashboard Design 
260 |b Science and Information (SAI) Organization Limited  |c 2025 
513 |a Journal Article 
520 3 |a Despite the increasing reliance on information dashboards across industries, dashboard design practices remain fragmented, lacking standardized methodologies, ontological formalization, and governance integration. Addressing these gaps, this study develops a method to guide dashboard design by embedding ontological modeling and Information Governance (IG) principles. Two complementary artifacts are proposed: the Information Dashboard Design Ontology (IDDO) and the Information Dashboard Design Method (IDDM) Canvas. Using Design Science Research Methodology (DSRM) and a Unified Ontological Approach (UOA), IDDO formalizes tacit dashboard design knowledge into a structured framework, while the IDDM Canvas operationalizes this ontology into a practical design tool. Validation through the Ontological Unified Modeling Language (OntoUML) Plugin and conceptual assessment based on Unified Foundational Ontology (UFO) principles confirmed internal consistency and ontological soundness. The resulting framework integrates twelve dashboard design building blocks with eight IG principles to ensure rigor and governance alignment. The application of the IDDM Canvas demonstrated its utility in facilitating structured, replicable dashboard development. While the evaluation focused primarily on conceptual validation, future studies are recommended to empirically assess the framework’s practical effectiveness across various domains and real-world projects. 
651 4 |a Selangor Malaysia 
651 4 |a Malaysia 
653 |a Knowledge management 
653 |a Knowledge based engineering 
653 |a Dashboards 
653 |a Modelling 
653 |a Research methodology 
653 |a Usability 
653 |a Computer science 
653 |a Trends 
653 |a Ontology 
653 |a Decision making 
653 |a Business models 
653 |a Task analysis 
653 |a Compliance 
653 |a Design techniques 
773 0 |t International Journal of Advanced Computer Science and Applications  |g vol. 16, no. 6 (2025) 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3231644808/abstract/embedded/Q8Z64E4HU3OH5N8U?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3231644808/fulltextPDF/embedded/Q8Z64E4HU3OH5N8U?source=fedsrch