Data Science & Metadata Research
To be discoverable by today’s online users, traditional library data must be transformed. OCLC Research analyzes bibliographic data to derive new meaning, insights, and services for use by library and information seekers. This work includes special projects, data science research, engagement with metadata communities, publications and presentations, and the creation of illustrative experimental applications.
Presentations
Open for All, Reusable for Whom?: A Review of What Data Reusers Want and How Data Repositories Can Deliver
virtual
Understanding how data reusers seek and evaluate potential data for reuse will aid data curators, data managers, and developers in the open repository field. We will review past studies of data reusers, specifically a qualitative study of 105 researchers from three disciplinary communities: quantitative social science, archaeology, and zoology. The study identified 12 types of context information that data reusers mention needing when deciding whether to reuse data. Next, we will use the context types to create a feature set and assess how data repositories provide the needed context information to users. Finally, using findings from our assessment, we will showcase desirable features in use to prototype the design of a reuser-oriented data repository that developers can use to improve their data repository interface.
Topics: Open Access, Research Data Management