An analytical framework to facilitate open government data portal management using business intelligence : a case study of Thailand | |
| Author | Sahaporn Sripramong |
| Call Number | AIT Thesis no.IM-21-05 |
| Subject(s) | Transparency in government--Thailand--Data processing Disclosure of information--Thailand--Data processing Government information--Thailand--Data processing Business intelligence |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Information Management |
| Publisher | Asian Institute of Technology |
| Abstract | The prospect value creation of open government data is activated once the reuse of the data transpired. The controversial data over the wall model is prevalent as reflected by open as default in many countries. Governments publish the data as the default on central portals. The majority of the dataset on open data platforms were evidently presented low usage. The contradiction between provision and consumption is insufficiently comprehended. Realiza tion of relationship and contradiction, as well as the status of the usage can support the policy-making process to advance the open government data project. The analytical framework using the business intelligence approach was developed to analyze the open government data portal usages and user behaviors to understand such differences and relationships to finally recommend the improvement to reach the goal in advancing the open government data project. The three research questions are as follows: (1) "What are the provision and consumption patterns?", (2) "What are the most popular search terms, failed search terms, and what are the reasons causing failed search?", and (3) "What are the user requirement and feedback that were unfulfilled by the provision circumstances?". The data pipeline and interactive dashboard were developed accordingly. The results showed which data groups needed to be improved on numbers of published datasets and update frequency. There are associations between the published datasets, the view frequency, and the update frequency. The high-value (HVD) datasets dominated the most views over the non-HVD datasets. The data files with the most prominent usage are the machine-readable formats (mostly XLSX and CSV). The failed search was caused by both data unavailability, tag unmatched, and portal technical problems. Data unavailability or non-discoverability is the most noted data request motivation (54.84%). Shapefile is the most requested format (37.93%). The prototype system evaluation acquired positive feedback on its usefulness; however, the usability is expected to be ameliorated. Two main contributions bestowing in this study are (1) analytical framework validation re sults for portal usage and user behavior analysis that elucidated an insight into the usage in the actual environment, and the result-based practical recommendation, and (2) prototype business intelligence system for CKAN-based open data portal as the practical contribution. |
| Year | 2021 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Information Management (IM) |
| Chairperson(s) | Chutiporn Anutariya |
| Examination Committee(s) | Vatcharapron Esichiakul; |
| Scholarship Donor(s) | AIT Fellowship |
| Degree | Thesis (M. Sc.) - Asian Institute of Technology, 2021 |