NIH to Host Virtual Workshop on Data Metrics

9:00 a.m. – 9:10 a.m. EST Opening Remarks
 
9:10 a.m. – 9:40 a.m. EST Dr. Stefanie Haustein, University of Ottawa, Cautions and lessons around development and implementation of scholarly metrics
 
Session 1: Evaluating and measuring data use and utility
Session chair: Daniella Lowenberg
Presentations (15 minutes + 5 minutes speaker transition time):
 
9:40 a.m. – 9:55 a.m. EST Daniella Lowenberg, California Digital Library, Introduction to current efforts around the building blocks of data metrics: data usage and citation
 
10:00 a.m. – 10:15 a.m. EST Dr. Valerie Schneider, National Institutes of Health, Perspectives from a data center with multiple repositories
 
10:20 a.m. – 10:35 a.m. EST Dr. Susan Redline, Harvard University, Perspectives from a domain specific data repository: The National Sleep Research Resource
 
10:40 a.m. – 10:55 a.m. EST Dr. Regina Bures, National Institutes of Health, Perspectives from a controlled access data resource
 
Panel Discussion:
11:00 a.m. – 12:00 p.m. - Questions from participants, plus framing questions
Framing questions:
  • What types of indicators have been or could be gathered to measure research data or data repository/knowledgebase value and reach?
  • How does the maturity of a data repository/knowledgebase or the community it represents impact the evaluation of data metrics?
  • How can repositories use existing initiatives and experts around standardized data usage, data citation, and data metrics to responsibly report on data value?
 
12:00 p.m. – 1:00 p.m. EST Lunch Break
 
Session 2: Stakeholder use cases for data usage and utility metrics
Session chair: Dr. Warren Kibbe
Presentations (15 minutes + 5 minutes speaker transition time):
 
1:00 p.m. – 1:15 p.m. EST Sean Coady, National Institutes of Health, Using Metrics to inform the Return on Investment (ROI): A Public Funder’s Perspective
 
1:20 p.m. – 1:35 p.m. EST Dr. Robert Moritz, Institute for Systems Biology, Manager perspective: How do resource managers use metrics to articulate the size, impact and scope of their resource, and the stakeholders of the resource?
 
1:40 p.m. – 1:55 p.m. EST Dr. Brian Byrd, University of Michigan, Community perspective: how do research communities help demonstrate and maximize the utility of a resource and the data it holds. How can metrics promote usage and utility of a resource, and justification for continued support?
 
Panel Discussion:
2:00 p.m. – 3:00 p.m. - presentation Q&A, discussion guided by framing questions
Framing questions:
  • What use cases and questions should all data repositories/knowledgebases have in common around dataset or repository impact?
  • What metrics to evaluate reach and impact do funders, repository managers, data generators and data users want access to?
  • How could established data metrics help in incentivizing researchers to publish data, or influence broader compliance with policy implementations or promotion and tenure processes?
 
3:00 p.m. – 3:30 p.m. EST Closing Remarks