An Ontology for Capturing and Integrating Statistical Data Production Metadata
Sulthoni Ashiddiiqi, Fajar J. Ekaputra, Muhammad Zuhri Catur Candra, GA Putri Saptawati · 2024
A complete and integrated metadata is essential to support the openness and transparency of statistical data provided by governments and global organizations. Such metadata not only provide information about statistical data structure, but also offer crucial details and insights into the entire statistical data production processes, e.g., how the statistical data production are planned, collected, processed, and eventually published. However, creating comprehensive metadata about statistical data production requires an ontology capable of accommodating and integrating various types of relevant statistical metadata. To address this challenge, this paper proposed the Statistical Data Production Ontology (SDPO), an ontology that aim to serve as an integrator for statistical metadata relevant to statistical data production. SDPO is constructed based on existing standards of statistical data production, enhancing confidence in the completeness of the coverage of various data production processes and types of statistical metadata included. We evaluated the ontology through a set of predefined competency questions and OOPS! ontology evaluation tool with promising results.