Library Support of Data-Driven Discovery @ Texas A&M: A Proposed Roadmap

dc.creator	Herbert, Bruce
dc.date.accessioned	2017-02-07T13:27:56Z
dc.date.available	2017-02-07T13:27:56Z
dc.date.issued	2017-02-07
dc.identifier.uri	https://hdl.handle.net/1969.1/158776
dc.description	A white paper that explores possible library strategies to support data-driven research at Texas A&M.	en
dc.description.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.	en
dc.language.iso	en_US
dc.rights	Attribution 3.0 United States	en
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/us/
dc.subject	big data, data-driven discovery, libraries	en
dc.title	Library Support of Data-Driven Discovery @ Texas A&M: A Proposed Roadmap	en
dc.type	Working Paper	en
dc.audience
local.department	University Libraries	en

Except where otherwise noted, this item's license is described as Attribution 3.0 United States