Sharing Data through the Yale University Open Data Access ... YODA...2017/09/10 · Sharing Data...
Transcript of Sharing Data through the Yale University Open Data Access ... YODA...2017/09/10 · Sharing Data...
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Sharing Data through the YODA Project: Early Experience
Eighth International Congress on Peer Review and Scientific Publication
Joseph S. Ross, MD, MHSSection of General Internal Medicine, School of MedicineCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital
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Potential Conflicts of Interest• YODA Project funded by research grant through Yale from Johnson &
Johnson, formerly funded by Medtronic, Inc.• Research grant funding through Yale from:
• FDA: Center of Excellence in Regulatory Science (CERSI)• FDA and Medtronic: medical device post-market surveillance methods• CMS: performance measure development • Blue Cross Blue Shield Association: medical technology evidence generation• Laura & John Arnold Foundation
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• ~50% of clinical trials are never published, many after 2 years• Even when published, limited portion of collected data is reported
• Particularly secondary endpoints, safety details
• Patients and physicians frequently make treatment decisions based on a fraction of potentially available clinical data
• Need ways to improve publication and reporting of research …
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• Ensures all data can be used to inform clinical decisions
• Positions research as a public good
• Respects contributions of participants:• maximizing value of collected data, while• minimizing duplicative data collection
• Facilitates secondary studies of existing data
• Promotes transparency and reproducibility: • sample, design, and analysis
Strengthening Science through Data Sharing
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Purpose: To describe early experience with setting up and sharing clinical research data through the Yale Open Data Access (YODA) Project
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• Promote sharing of clinical research data to advance science and improve public health and healthcare
• Promote responsible conduct of research• Ensure good stewardship of clinical research data by
external investigators• Protect rights of research participants
Principles of the YODA Project
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• Initiated in 2011• Patient-level data for 17 Infuse clinical trials• Early effort devoted to competitive RFP, 2 independent reviews
• Both high-quality, conducted in tandem; published simultaneously• Provided public assurance via independent review
• Afterwards, established data access policy, required registration, public reporting, publication: 4 requests, 2 completed projects
Medtronic Partnership
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Johnson & Johnson Partnership• Initiated in 2014• Effort focused on promoting, facilitating access to clinical trial data:
• All pharmaceutical products (including legacy trials)• Device and diagnostic products as of 2015• Consumer products as of 2017
• Maintained governance structure with formal Steering Committee, engaged experts, stakeholders, and public (via comment)
• Launched YODA Project website to provide trial info, meta-data
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• Investigators name, affiliation,• Narrative summary• Public abstract• Detailed research proposal:
• Project background• Significance/objectives• Study design• Main outcomes • Statistical analysis plan
• COI statement
• Once approved, DUA required• Data maintained on secure
platform, access via VPN• Prevents distribution, protects
patient privacy
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Number of Data Requests Submitted
*As of September 1, 2017
83
6 5 69 9 9 7 6 5 5
11
1722
28
37
46
55
62
6873
78
0
10
20
30
40
50
60
70
80
90
2014-Q4 2015-Q1 2015-Q2 2015-Q3 2015-Q4 2016-Q1 2016-Q2 2016-Q3 2016-Q4 2017-Q1 2017-Q2 2017-Q3
New data requests Total data requests
Median No. Trials Requested: 3 (IQR: 1-9)
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• Public reporting of approved requests, research proposals, results of project
• Of 78, 71 (91%) approved, 1 (1%) remains under review; 6 (8%) withdrawn/ closed (usually data not available)
• Nearly all require some administrative revision, but 28 (36%) required scientific revision after review for clarity
• Most common: new 2⁰ aim (n=44), meta-analysis (n=40), validation (n=21)
• Of 71, 2 completed projects, 4 under peer-review; 7 discontinued …
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• What are best practices among data sharing platforms? What about data analytic servers? What meta-data are needed?
• Who should pay for this?• Engaging research community to use data (and knowing it’s complicated)
• Data Use Agreements …• How long should data be available?• Maintaining public input, transparency• Large pharma companies are far ahead, what about everyone else?• What incentives for sharers, users will promote greater success?
Challenges Ahead for Data Sharing
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YODA Project• Harlan Krumholz• Cary Gross• Richard Lehman
Johnson & Johnson• Joanne Waldstreicher• Karla Childers• Stephen Bamford
Additional thanks to:• Rick Kuntz of Medtronic
• Jessica Ritchie• Ginger Gamble• Nihar Desai
• Jesse Berlin• Sandra Morris• Peter Lins
• YODA Project Steering Committee
http://yoda.yale.edu
@YODAProject