Back to Agenda
Panel Detail

Workshop: Sharing "Scruffy" Data

Wednesday, July 12, 2017
11:15 AM - 12:15 PM
Cityside 1

We know that bad data produces unusable results, but gone are the days of using only pristine clinical trials data to draw conclusions and make decisions. 'Scruffy' data can come in many forms: real-world data, data from wearable devices, and other non-clinical trial data sets. Even if each data set is well organized and characterized, combining data sets can create disorder. In addition, there is increased interest in sharing data with non-academic partners such as citizen scientists, patient organizations, and patients themselves. Is there a benefit to embracing 'scruffy' data, or is the goal to bring order to the data and data sharing process? What is the next frontier of dealing with the complexities of data sharing and aggregation to make sure we are obtaining meaningful results?


John Wilbanks

Chief Commons Officer, Sage Bionetworks; Senior Fellow, FasterCures


Patricia Brennan

Director, National Library of Medicine; Interim Associate Director for Data Science, National Institutes of Health

Len D'Avolio

CEO and Co-Founder, Cyft; Assistant Professor, Harvard Medical School

Harlan Krumholz

Harold H. Hines, Jr. Professor of Medicine, Yale School of Medicine; Director, Center for Outcomes Research and Evaluation, Yale New Haven Hospital

Heidi Rehm

Associate Professor of Pathology, Brigham and Women's Hospital and Harvard Medical School; Director, Partners Laboratory for Molecular Medicine