Vancouver, Canada, November 14, 2018
9:00-9:15 |
Welcome and introduction (Jian Qin)
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9:15-10:00 |
Keynote Jevin West, University of Washington Abstract: Over the last two decades, we have seen improved access to large-scale, bibliographic data and research data repositories. This improved access has attracted researchers from across the disciplinary landscape. This has sparked new questions, methods and analysis. It has even led to the naming of new fields, such as the Science of Science and big metadata analytics. In this presentation, I will survey this excitement, while noting some of the challenges, and use this survey as a catalyst for sparking further conversations in the workshop about next steps for this emerging field. |
10:00-11:00 |
Big metadata analytics in disciplinary domains Moderator: Jeff Hemsley The Role of Uncertainties of Scientific Claims. Discovering Bias in Peer Review: How Open Peer Review and its Associated Metadata Can Help. Supporting Data Analytics through Data Dictionaries at Children's Hospital of Philadelphia (CHOP) |
11:00-11:20 |
Coffee break |
11:20-12:00 |
Big metadata analytics and library linked data Library Linked Data Models: Multinational Library Data in the Semantic Web Analytics for Digging Into the Knowledge Graph |
12:20-1:30 |
Lunch |
1:30- 2:30 |
Big metadata analytics methods and workflows Latent semantic analysis for discovering topics in collaboration networks Real World Examples: Twitter’s Big Metadata for Research Multi-dimensional data detectives: Using multi-dimensional metadata to conduct systematic, exploratory big scientific metadata analysis |
2:30 – 3:45 |
Group discussion |
3:45 – 4:15 |
Coffee break |
4:15 – 5:00 |
Report and summary of group discussion (Jane Greenberg) Closing (Jian Qin) |