Big Metadata Analytics: Setting a Research Agenda for Data-Intensive Future

Vancouver, Canada, November 14, 2018

Workshop Program

9:00-9:15

Welcome and introduction (Jian Qin)

  • Welcome
  • Self-introduction around the room
  • A brief introduction to the goal and title of workshop
  • Logistics

9:15-10:00

Keynote 
Moderator: Jeff Hemsley

Title: The pitfalls and promises of big metadata analytics
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.
Chaomei Chen

Discovering Bias in Peer Review: How Open Peer Review and its Associated Metadata Can Help.
Peiling Wang and Dietmar Wolfram

Supporting Data Analytics through Data Dictionaries at Children's Hospital of Philadelphia (CHOP)
Jane Greenberg, Alex Pool, Sam Grabus, Joan Boone, Marianne Chilutti, Spencer Lamm, and Jeffrey Pennington

11:00-11:20

Coffee break

11:20-12:00

Big metadata analytics and library linked data
Moderator: Chaomei Chen

Library Linked Data Models: Multinational Library Data in the Semantic Web
Hyoungjoo Park and Margaret Kipp

Analytics for Digging Into the Knowledge Graph
Richard Smiraglia and Rick Szostak

12:20-1:30

Lunch

1:30- 2:30

Big metadata analytics methods and workflows
Moderator: Dietmar Wolfram

Latent semantic analysis for discovering topics in collaboration networks
Kwan Yi

Real World Examples: Twitter’s Big Metadata for Research
Jeff Hemsley

Multi-dimensional data detectives: Using multi-dimensional metadata to conduct  systematic, exploratory big scientific metadata analysis
Sarah Bratt, Jeff Hemsley, Jian Qin

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)