Minimum Credits: 3
Maximum Credits: 3
This course will build on LIS 2676 Research Data Management course, and will focus on the elements of research data infrastructure which facilitate and enable effective data management. The course will examine approaches to data storage, data repositories and preservation practice, selected standards, schema, protocols and formats for describing datasets, data registries and catalogs enabling data discovery and the data publication process. We will explore developments in data citation and metrics to track data provenance and attribution. In each of the listed areas, there will be case studies and exemplars to illustrate the challenges and experiences of pilot implementations and fully operational services. Finally we will also consider public engagement with data, including the landscape of citizen science initiatives and the emergence of data science concepts and practice.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade