Open government data is a crucial step toward transparency, efficiency, and digital transformation in public administration. Widely accessible and open governmental data can help decision makers and governmental administrators gain insights that allow them to improve the effectiveness of government services and processes. In addition, having open access to governmental data allows citizens to be better informed: With open data, citizens can obtain answers to questions related to government processes and decisions that, in turn, fosters transparency and increased trust in public institutions.
More recently, governmental open data serves as an important source for machine learning model development: Governmental open data, especially document data, can complement other open Internet data, such as Wikipedia articles and social media content, in training language models.
This tutorial provides a comprehensive guideline for developing open data from Thai government documents. The session is designed to equip participants with knowledge on structuring, processing, and publishing government documents as open data while ensuring compliance with relevant legal frameworks.
By the end of the tutorial, attendees will have a clear methodology for implementing open government data policies in their respective organizations, ensuring compliance with privacy laws while enhancing accessibility and interoperability. This tutorial is highly relevant for government officials, data scientists, policymakers, researchers, and IT professionals working on digital governance, open data, and public sector AI applications. By providing a structured approach to Saraban open data development, this session will help drive greater transparency, efficiency, and innovation in Thailand’s government data ecosystem.