Abstract
Data-driven discovery is transforming the nature of research and scholarship across a broad swath of disciplines. This evolution is possible because of advances in cyberinfrastructure, machine learning, and the availability of new and vast data streams. The Texas A&M University Libraries has both current and emerging capabilities and resources to support research, student instruction, and outreach within the context of big and small data.
Herbert, Bruce (2017). Library Support of Data-Driven Discovery @ Texas A&M: A Proposed Roadmap. Available electronically from
https : / /hdl .handle .net /1969 .1 /158776.