Uncovering hidden insights for information management: Examination and modeling of change in digital collection metadata

Abstract

This paper reports the study which measured and categorized metadata change in the digital collection of patents. The descriptive metadata in this collection is based on the local version of Dublin Core. The moist frequently occurring categories and subcategories of change are identified, as well as metadata fields that are edited the most often. Comparative analysis between multiple editing events is conducted. Results and future/concurrent research are discussed.