Users and Uses of a Global Union Catalogue: a Mixed-Methods Study of WorldCat.org

This paper presents the first large-scale investigation of the users and uses of WorldCat.org, the world’s largest bibliographic database and global union catalogue. Using a mixed-methods approach involving focus group interviews with 120 participants, an online survey with 2,918 responses, and an analysis of transaction logs of approximately 15 million sessions from WorldCat.org, the study provides a new understanding of the context for global union catalogue use. We find that WorldCat.org is accessed by diverse population, with the three primary user groups being librarians, students and academics. Use of the system is found to fall within three broad types of work-task (professional, academic, and leisure), and we also present an emergent taxonomy of search tasks which encompass known-item, unknown-item, and institutional information searches. Our results support the notion that union catalogues are primarily used for known-item searches, although the volume of traffic to WorldCat.org means that unknown-item searches nonetheless represent an estimated 250,000 sessions per month. Search engine referrals account for almost half of all traffic, but whilst WorldCat.org effectively connects users referred from institutional library catalogues to other libraries holding a sought item, users arriving from a search engine are less likely to connect to a librar

Trustworthy Transparency by Design

Individuals lack oversight over systems that process their data. This can lead to discrimination and hidden biases that are hard to uncover. Recent data protection legislation tries to tackle these issues, but it is inadequate. It does not prevent data misusage while stifling sensible use cases for data. We think the conflict between data protection and increasingly data-based systems should be solved differently. When access to data is given, all usages should be made transparent to the data subjects. This enables their data sovereignty, allowing individuals to benefit from sensible data usage while addressing potentially harmful consequences of data misusage. We contribute to this with a technical concept and an empirical evaluation. First, we conceptualize a transparency framework for software design, incorporating research on user trust and experience. Second, we instantiate and empirically evaluate the framework in a focus group study over three months, centering on the user perspective. Our transparency framework enables developing software that incorporates transparency in its design. The evaluation shows that it satisfies usability and trustworthiness requirements. The provided transparency is experienced as beneficial and participants feel empowered by it. This shows that our framework enables Trustworthy Transparency by Design