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 |