This paper analyzes the relationship between subject terms -- both authorized terms from controlled vocabularies and free-text keywords -- used to succinctly describe the content of the electronic theses and dissertations (ETDs) and the search terms entered by users to discover and access the ETDs. Identification of search terms and comparison of search results with subject terms used in describing ETDs provides a basis for assessing the relative usefulness of controlled-vocabulary subject terms supplied by professional indexers and free-text keywords supplied by authors of ETDs in facilitating access to ETDs. Arguably, there has been a shift in the way users search, access, and use information resources.

This paper presents results of a study that analyzed representation of dates and time in one of the largest aggregators of digital content in the world -- the Digital Public Library of America (DPLA). The findings demonstrate both similarities and differences in date and time representation across DPLA content hub and service hub provider groups.

Article discussing network analysis of aggregated subject values in the Digital Public Library of America (DPLA), with a discussion of how format normalization could affect subject overlap across collections.

Article describes how data-driven decision-making (DDDM) technologies are increasingly being utilized, aiming to enhance education quality. Authors assert that this paper examines articles that explore the implementation of DDDM technologies and their effects on education quality.