Developing Essential Datasets for a Community Cultural Capital Information System

This research analyzes and develops an essential dataset for creating a community information system (CIS) for managing cultural capital. The study has three primary objectives: (1) to identify and define key data categories required for a CIS focused on cultural capital management; (2) to assess the relevance and necessity of each data category through expert evaluation, particularly from individuals with practical experience in utilizing cultural capital in communities; and (3) to propose a dataset that can be adopted by local administrative organizations in Thailand to support cultural capital management and policy-making. The methodology employed in-depth interviews with six key informants: two cultural practitioners from local administrative organizations, two experts in dataset development, one expert in arts, culture, and local wisdom, and one user of cultural data for professional, educational, or research purposes. Data were analyzed using content analysis to identify standardized datasets, based on concepts of CIS, cultural capital information, and datasets, with verification through triangulation. Findings revealed that the essential data for developing the community cultural capital information system comprises two main datasets: community data, consisting of 117 data points with an overall high necessity rating, and cultural capital data, comprising 127 data points with an overall very high necessity rating. These findings establish the crucial data required for effective utilization of the system in managing cultural capital at the community level.