Library Support of Data-Driven Discovery @ Texas A&M: A Proposed Roadmap Institutional Repository Document uri icon


  • 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.

author list (cited authors)

  • Herbert, B.

complete list of authors

  • Herbert, Bruce

publication date

  • February 2017