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Janssens’ Discovery Data Integrity program (DDI): A journey over the last 7 years
Research Integrity: Position yourself for success!David J. Gallacher, PhD DDI Co-Lead, Global Head of Safety PharmacologyGhent University, December 6th, 2017 | Janssen Research & Development a division of Janssen Pharmaceutica NV
Agenda
1. Janssen R&D2. Pharmaceutical industry & data integrity3. Janssen’s DDI (Discovery Data Integrity) Initiative
• Approach• Key success factors• Broadening our scope
Disclaimer: ‘The views expressed in this presentation are solely those of the individual
author, and do not necessarily reflect the views of my employer’
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Our organization is global, yet our focus is the local community
36,000Employees Countries
150+Manufacturing
Sites
30R&D Centers
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North America Europe, Middle East & Africa
Asia PacificLatin America
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HIV Hepatitis CRespiratory
Vaccines
INFECTIOUS DISEASES & VACCINESSchizophrenia
Mood disordersAlzheimer’s disease
Chronic pain
NEUROSCIENCE
IMMUNOLOGY
Inflammatory bowel diseaseRheumatoid arthritis
Psoriasis Pulmonary disease
ProstateLung
B-cell malignancies Immuno-Oncology
ONCOLOGY
End-to-end strategy focused
on five therapeutic
areas CARDIOVASCULAR
& METABOLISM
Cardiovascular disease Diabetes
Janssen’s Therapeutic Area Research Focus
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J&J’s Shifting Strategy: Innovation Centers (2012)
San Francisco
London
Boston
Shanghai
San Diego
Minneapolis
Israel
Innovation Center
Satellite
Tokyo
Sydney
Target mix of Portfolio of 50% from Internal and 50% External Science
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Non‐Regulated
Regulated
Discovery
Preclinical Development
Phase I & II clinical trial
Phase III clinical trial
Registration & Marketing
Clinicalcandidate
IB
$2.6 billion over 10‐15 years
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InnovationResearchExploration
IntegrityAccuracy
Reconstructability
Finding the Balance…Innovation & Quality
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Janssen’s Discovery Data Integrity (DDI)
• Started in 2010: Baseline analysis of practices/systems across legacy J&J Pharmaceutical family of companies
• Motivation: Only “healthy data lead to healthy patients”
• Key words:AccuracyTraceabilityReconstructionAn unbiased approachOpen scientific collaboration
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Janssen’s DDI Initiative: Cross‐Company Baseline Practices/Systems Analysis
Outcome:• Highly motivated scientists eager to share best practices• Cross‐functional collaboration to improve systems• Momentum for change
Gaps identified across various locations/business groups
• Variety of data management systems and processes, some more adequate thanothers
• Storage space issues (want to keep everything, without archiving )• Limited support from biostatisticians• Opportunity to improve cross referencing/linking data for easy retrieval
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DDI community model
IMMUNOLOGY SM/LM/Biomarkers
Infectious Diseases&Virology+Biomarkers
NeuroscienceSM/LM/Biomarkers
Cardiovascular‐Metabolism
ONCOLOGY SM/LM/Biomarkers
Discovery Sciences
Biologics CoE
Non regulated R&DQA“The findings”
DDI CORE TEAM“The solution”
Discovery Leadership
DDI Core Team(Discovery, QA & IT)
• Analyses• Metrics• Advice, support, training
DDI Discovery Champions“The ideas”
member(s) from each group
• Identify opportunities• Generate concepts• Cross-fertilization
DDI Workstreams
Storage space
Reporting process
Training program
.......
Partners: IT, Biostatisticians, Project managers, Legal, Communications, ...
• Setup & direct workstreams
• Provide & Implement solutions
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15 DDI workstreams
Whatdata tostore
Safe data storage
Whereto store data
Where did I put it?
Internal andexternal
non reg QA program
Quality maintenance program
MandatoryDDI sectionin electronicprotocol templates
How to deal with fraudallegations/suspicions
IncreasedBiostatsupport
Bias prevention
Clinicalcandidatereporting
Reporting process
Reporting of individual
experiments
Externalcontracts External dataPublication
process
1 centralDDI portal
Basic training program
andplatform
Mandatoryglobal DDI training
Culture & Communication
Rewardingsystem
Participativeposter
campaign
Implementation phase
Fully implemented
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GAP ANALYSISE.g. Shortage of storage space
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HELP …I need more room or to find the way to
the archive !
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E.g.
Great news ! ... can you send us these
data for our Nature publication ?
Ooops, was it in the contract that we were supposed to save them ?
FORM MULTIDISCIPLINARY TEAMS TO LEVERAGE BEST PRACTICESE.g. Contractual language
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‐ Data spot checks‐ Feedback on good practices & gaps‐ Pulse check of guidelines‐ Measure success of DDI program
Quality program and metrics
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Key success factors1. Role Models: Senior leaders sponsorship & support
1. “Talking the talk, walking the walk”
2. Mandatory education for all staff
3. Community participative poster campaigns
4. Partnerships: QA, IT, Biostatisticians, Communications, ...
5. Simple, sustainable solutions and “fit for purpose” guidancea) By scientists, for scientists
6. Transparency: central data sharing for teams, projects etc
7. Spot check program (= measure of success)
8. Speak up culture (hotline)
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Quality data = Quality decisions
Global research environment
Common guidelines
Data sharingplatforms
Publication of replicatestudies & negativeresults
CROs, Collaborators, Innovation centers
Contract language
Data capturing & transfer platforms
Internal research
Training Global Guidelines Spotchecks
Broadening our scopeLong term
starting
ongoing
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Clinical Trial Data Sharing Agreement with Yale School of Medicine’s Open Data Access (YODA) ProjectA new approach to evaluation and transparency
Yale School of Medicine will serve as an independent body to review requests from investigators and physicians seeking access to Janssen clinical trials
TransCelerate BioPharmaJoint effort between Janssen & nine other companies
Non-profit organization focused on advancing innovation in R&D, identifying and solving common R&D challenges and improving patient safety (ie. repository where key clinical trial information about clinical sites, such as infrastructure & GCP training records is housed, thus reduce time-consuming and sometimes redundant administrative work involved in identifying appropriate clinical trial sites)
Last Updated: 11/24/2014
Ongoing: Transparency Initiatives in clinical space to open sharing of data (Jan 2014, Nov 2012)
https://www.jnj.com/office‐chief‐medical‐officer/yale‐open‐data‐access‐project
https://www.jnj.com/news/all/janssen‐research‐development‐announces‐establishment‐of‐global‐cross‐pharmaceutical‐clinical‐trial‐investigator‐databank
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Started: Improving Data Quality as Key Deliverable though IMI Initiative ‘EQIPD’
European Quality in Preclinical Data
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https://www.alphagalileo.org/ViewItem.aspx?ItemId=180325&CultureCode=en
10 EFPIA partners, 10 universities, 7 Service Companies, 1 scientific society, 1 technology company, 7 associate collaborators, 5 advisors
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Ongoing-Long Term: Training & guidelines
‐ Training to scientists & QA personnel (external)‐ International societies‐ Janssen collaborators
‐ Participate & present in international conferences: ‐ Scientific: WCRI, ECNP, FWO, …‐ QA: RQA, SQA
‐ Contribute to guidelines (RQA)
12/7/2017
http://www.therqa.com/
Co‐ordinate the development of common European standards
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Our ultimate goal is to make a difference for patients by identifying the most promising opportunities and collaborating with the best minds in the world to develop innovative new solutions to advance healthcare
We are all in this together…. !
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Point 2
Point 3
The world is our laboratory
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