Arrow, TomEwing, E. ThomasFan, WeiguoFox, Edward A.House, Leanna L.Huang, BertPannabecker, Virginia2017-04-262017-04-262017-04-122017-04-12http://hdl.handle.net/10919/77526This panel discussion was part of Open Data Week 2017 at Virginia Tech. Panelists discussed opportunities and challenges related to text and data mining, with a focus on research purposes and information access. Panelists: Tom Arrow (ContentMine), Tom Ewing (College of Liberal Arts and Human Sciences, Virginia Tech), Weiguo (Patrick) Fan (Pamplin College of Business, Virginia Tech), Ed Fox (Computer Science, Virginia Tech), Leanna House (Statistics, Virginia Tech), Brent Huang (Computer Science, Virginia Tech). Moderator: Virginia Pannabecker (University Libraries, Virginia Tech). Open Data Week 2017 events were supported by a Virginia Tech Beyond Boundaries innovation grant as well as a Virginia Tech faculty mentoring grant.Dimensions: 853 x 480Duration: 1:13:08Size: 733 MBvideo/mp4video/webmimage/jpegapplication/pdftext.mp4-en.vttenIn CopyrightData miningContentMinePresentationVirginia Tech