Open Data Week set for April 10-14 | News | Virginia Tech

"Open Research/Open Data Forum: Transparency, Sharing, and Reproducibility in Scholarship

April 10, 6:30–8 p.m., in Torgersen Hall 1100

Join our panelists for a discussion on challenges and opportunities related to sharing and using open data in research, including meeting funding and journal guidelines. Panelists include:

• Daniel Chen (Ph.D. candidate in Genetics, Bioinformatics, and Computational Biology)
• Karen DePauw (Vice President and Dean for Graduate Education)
• Sally Morton (Dean, College of Science)
• Jon Petters (Data Management Consultant, University Libraries)
• David Radcliffe (Professor, English, College of Liberal Arts and Human Sciences)
• Laura Sands (Professor of Human Development, Center for Gerontology)

Text and Data Mining Forum

April 12, 2:30–3:45 p.m., in the Newman Library Multipurpose Room

Join panelists for an interactive discussion about opportunities and challenges in text and data mining, with a focus on research purposes and access to content. Panelists include:

• Tom Arrow (Software Developer, ContentMine)
• Tom Ewing (Associate Dean, College of Liberal Arts and Human Sciences)
• Weiguo (Patrick) Fan (Professor, Pamplin College of Business)
• Ed Fox (Professor, Department of Computer Science)
• Leanna House (Associate Professor, Department of Statistics)
• Bert Huang (Assistant Professor, Department of Computer Science)

Introduction to ContentMine Tools for Mining Scholarly & Research Literature

Several sessions offered April 11–12

Join ContentMine instructors for an overview of text and data mining, and an introduction to ContentMine open source tools for mining scholarly and research literature.

ContentMine Tools to Explore Scholarly and Research Literature: In-Depth, Hands-On Workshop

April 13, 9 a.m. – 4 p.m., in Newman Library 207A

During this workshop, participants will complete hands-on exercises to become familiar with ContentMine tools while ContentMine instructors are present. Attendees will also have the opportunity to experiment with using these tools to mine scholarly literature and explore results specific to their own research project goals. Coffee and lunch provided.

Registration required (limit: 20 participants) | NLI credit available

A full listing of events, including registration and NLI credit links, can be found on the Open Data Week event page. All Open Data Week events are free and open to the public."