Qualyst : data quality assessment system for Thailand’s open government data | |
| Author | Tanapat Samakit |
| Call Number | AIT RSPR no.IM-23-04 |
| Subject(s) | Transparency in government--Thailand Disclosure of information--Thailand System design Databases--Quality control |
| Note | A research study submitted in partial fulfillment of the requirements for the degree of Master of Science in Information Management |
| Publisher | Asian Institute of Technology |
| Abstract | Open Government Data (OGD) refers to the provision of data produced by the government to the general public, in a format that is readily readable and can be used by machines with ease. It can also promote transparency, improve decision-making, enhance accountability, create economic opportunities, and encourage civic engagement. It is getting a lot of support these days to be published whenever it’s convenient for individuals to look at it. So, The government could gain trust by showing transparency, accountability, and value creation through innovation by making government data available to people for benefits. However, each published dataset does not contain any indication of its quality assessment in any way. As a result, it is difficult for citizens to evaluate the accuracy of the data provided by the OGD. Therefore, an assessment of the data quality for OGD needs to be developed. This will help create effective datasets which in turn help users understand the data. This study proposes QUALYST, a system that assesses Thailand’s OGD dataset and validates it for analytic and visualization purposes. The study focuses on designing the data storage and implementing the assessment system. Furthermore, the proposed data quality dimensions, the developed data pipeline, and the assessment process are elaborated. Finally, the prototype system is demonstrated using Thailand’s OGD datasets with examples in a visualized format. Two main contributions bestowed in this study are (1) QUALYST, the data quality assessment system, can be used as a base system for further improvement for many categories in the OGD to evaluate to score of data quality and (2) the visualization of the result can be contributed for data quality improvement. |
| Year | 2023 |
| Type | Research Study Project Report (RSPR) |
| 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) | Vatcharaporn Esichaikul;Marut Buranarach; |
| Scholarship Donor(s) | Royal Thai Government (RTG); |
| Degree | Research studies project report (M. Sc.) - Asian Institute of Technology, 2023 |