SlideShare ist ein Scribd-Unternehmen logo
1 von 49
Downloaden Sie, um offline zu lesen
Vivli – Global Clinical Trials Data Sharing Platform
Ida Sim, MD, PhD
Vivli Co-Founder
Professor of Medicine, UCSF
December 11, 2020
COVID-19 Vaccine Clinical Trials
Vivli: The Difference Data Re-Use Can Make
Agenda
• Overview of clinical trial data sharing
• How can Vivli help me share my clinical study data?
• How can I request data from other completed studies?
Today’s Menu of Crohn’s Treatments
Crohn’s Disease
Infliximab
(TNFi, 1998)
Natalizumab
(anti-⍺4, 2004) Adalimumab
(TNFi, 2007)
Certolizumab
(TNFi, 2008)
Ustekinumab
(anti-IL12/23, 2016)
Vedolizumab
(anti-⍺4β7, 2014)
Surgery
???
Questions, questions…
Trials Drug
PRECISE 1/2 Certolizumab
CLASSIC 1/2 Adalimumab
GEMINI 2 Vedolizumab
ENACT Natalizumab
ACCENT 1/2 Infliximab
UNITI Ustekinumab
CERTIFI Ustekinumab
Efficacy questions
• Are there subgroups that preferentially respond to some
drugs over others?
• How much time do we need to confidently determine if
a patient will favorably respond? What data do we need
to make this determination?
Safety
• Are there certain subgroups more susceptible to certain
severe adverse effects (SAEs) than others?
• What does this tell us about the biology of SAEs as they
relate to drug mechanism of action?
Getting to Answers…
Vivli Pioneer Award Winner
Question: In the absence of head-to-head randomized
trials, can we determine which Crohn’s treatments are
better than others (and in whom)?
Current approach: Summary-level meta-analysis
• Cons: differences in doses, treatment durations,
definitions of response, allowed concomitant
medications, trial designs, underlying cohorts,
ecological fallacy, etc.
Dr. Vivek Rudrapatna
Assistant Professor, UCSF
Summary-level
Meta-Analysis
Getting to Answers…
Summary-level
Meta-analysis
Individual
Participant-Level
Meta-Analysis
Clinical trials
registration
Summary
data shared
Clinical Study reports - CSRs &
Individual Participant Data (IPD)
shared
EMA Policy 0070 (2014), Policy 0043 ( 2010)
Health Canada Regulations (2019) (IPD not
included)
PhRMA/EFPIA principles for data sharing (2014)
IOM Sharing Clinical Trial Data report (2015)
Evolution of Clinical Trial Data Sharing
ICMJE requirement for
publication (2004)
WHO global policy (2006)
FDAAA requirement for
applicable trials (2007)
FDAAA Final Rule (published
2016, effective Jan. 2017)
EU no. 536/2014 requires lay
summaries (effective late
2020)
2004
2016
2018…
2018: Major Journals Require IPD Sharing Statement
• Trial manuscript submissions must
include a data sharing statement
- who, what, when, where, and why
and how IPD will be shared
• Some journals routinely
request/encourage IPD be shared
- e.g., BMJ, PLoS Medicine, Lancet
ICMJE: International Committee of Medical Journal Editors
Mid-2018: Vivli Launches
1.3M
Participants from
98
countries
2500+
Trials
15
Members
2.2M
Participants from
109
countries
4700+
Trials
22
Members
2019
3.6M
Participants from
119
countries
5800+
Trials
29
Members
2020
2019: Data Sharing Plans at Trial Registration
• Data sharing plans added to ClinicalTrials.gov registration
• ICMJE requires that you included a data sharing plan at time of
trial registration
2023: NIH Requiring Data Sharing Plans
• Data sharing plan must be
included in NIH grant proposals
- but will not be scored as part of
peer review
• Allowed to budget for data sharing
costs
• Encourages use of established
repositories (including Vivli)
January 25, 2023
Benefits of IPD Sharing
• Honors the commitments of participants
• Strengthens trust in the clinical research enterprise
• Prevents repetitive trials and putting additional patients at
risk
• Enables new discovery and scientific insights through
combining data from disparate sources
Increases Citations Too!
https://doi.org/10.1371/journal.pne.0000308
“The 48% of trials
with publicly available
microarray data
received 85% of the
aggregate citations.
Publicly available
data was significantly
(p = 0.006) associated
with a 69% increase in
citations”
Getting to Answers…
Summary-level
Meta-analysis
Individual
Participant-Level
Meta-Analysis
Introducing Vivli
THE ENTITY
• Non-profit organization
• Convening function
- Biomedical industry (pharma, bio, device)
- Academia
- Non-profit funders and foundations
- Government (funders and regulators)
- Patient/patient advocates
• Governance and policy
- Harmonizing language & agreements
- Move culture of data sharing
• Advocacy
- Lowering barriers
- Promoting incentives
• Oversight of Implementation
THE PLATFORM
• A user-friendly, secure, state-of-the art
data sharing and computing platform
• Serving the international community,
including trials from any disease,
country, sponsor, funder, or investigator
- Open search
- Robust security
- Modern tools and technologies
HOW TO SHARE DATA VIA VIVLI
Balancing Risks and Benefits
Openness Privacy
Protecting participant privacyMaximizing the value of the data
collected respects participants’
contributions
Approaches to Sharing Human Data
Type Key Features Examples
Open access Anyone can access, simple account creation, simple on-line
data use agreement (DUA)
ImmPort, EMA,
Project Datasphere
Managed access • for scientific purposes only (standard request form)
• (independent) review process
• secure environment for data access
• clear legal framework
Vivli, CSDR, SOAR,
VISTA
Restricted access Invitation only, access only to those who provide data DataCelerate, IBD
Plexus
Vivli Members
IPD Sharing Requirements Figshare &
Dryad
Internal
University
Repositories
“Walled
Gardens”
Vivli
Data
Contributors
IPD can be stored and securely hosted ✔ ✔ ✔
Harmonized data contributor and data use agreements ✔ ✔
IPD can be shared securely to anyone in the world ✗ ✔
Independent request review available ✔
DataUsers
One-stop shop for finding IPD on any therapeutic area
from any contributor worldwide
✗ ✔
Harmonized data request form ✔
Additional data and software can be brought into the
research environment
✔
Uniform security standards and policies ✔
When to Use Vivli Unrestricted
access ok
Sharing only
within team
Sharing only
within
consortium
Wide but
managed
access
IPD Sharing over Study Lifecycle
Grant
Submission
Trial
Registration
Trial
Completion
12 Months
Later
Data sharing
plan in proposal
Data sharing
plan in
registration
Archive IPD Data
Package in Vivli
Summary results
to CT.gov
Publication
Data sharing plan
to journal
12 Months
Later
Summary results
to CT.gov
IPD Data Package required contents
• IPD
• Protocol
• Data Dictionary
• Statistical Analysis Plan
Optional: Informed consent, case report form, analytic code…
Data sharing
plan in proposal
Data Contributor Agreement – Key provisions
Researcher agrees
• The data are provided in an anonymized form
• Researcher has the rights to share the data and continues to maintain pre-
existing ownership rights
Vivli agrees
• Data recipients must sign the Vivli (or partner) DUA for access
Measures must be taken to reduce risk of re-identification
• De-identification: identifiers are removed to reduce the risk that a person can be
re-identified from the data
• Anonymization: erasing or encrypting all identifiers that connect an individual to
stored data
Privacy Analytics partnership
• Special discounted pricing and turn around time for Vivli members (industry sponsors and academics)
• Secure and audited environment for performing the anonymization
• Risk-based quantitative anonymization approach: consistent with current best practices as
recommended by EMA and Health Canada
IPD Must be Anonymized
Data Use Agreement – Key provisions
• Vivli manages DUA process for members who use the Vivli harmonized DUA
• Vivli members who are partner platforms may use their own DUA as long as
it does not conflict with the Vivli DUA (cross-platform sharing)
Key Vivli DUA provisions. Researcher agrees:
• To adhere to submitted research plan
• To make reasonable efforts to publish
• Not to re-identify participants
CONFIDENTIAL - Not for
distribution
Costs Per Study (non-member)
27
Study Curated and
Listed on Vivli
Anonymized IPD
Storage
Independent Review
Panel One-off Cost
Study ready for
sharing and needs
storage
ü ü $4,000
Study ready for
sharing and needs
Storage and
Independent Review
Panel
ü ü ü $9,500
Anonymization ü ü ü
Provided by Privacy
Analytics (additional
$2,000-$5000 /
dataset)
Institutional Membership
• Institutions can join Vivli as a member
- covers data depositions from that institution
• Steps
1. Sign membership agreement
2. Agree to harmonized Data Contributor Agreement / Data Use Agreement
(DCA/DUA)
3. Post membership page on Vivli website explaining how requests will be
reviewed, etc.
• Contact jwood@vivli.org
IPD Package is Listed and Requestable
Grant
Submission
Trial
Registration
Trial
Completion
12 Months
Later
Data sharing
plan in proposal
Data sharing
plan in
registration
Archive IPD Data
Package in Vivli
Summary results
to CT.gov
Searchable Requestable Shared
Available
for requests
IPD reused,
tracked
Listed on
Vivli
Embargo
Period
Publication
Data sharing plan
to journal
12 Months
Later
Summary results
to CT.gov
Informed Consent
and IPD Sharing
• Typically, data are shared in “de-identified” or
“anonymized” form
• Vivli accepts only anonymized data
• The extent to which consent remains relevant
following de-identification or anonymization is
a debated issue
• Common view is that promises made to
research subjects at the time of consent must
be respected, regardless of whether data have
been de-identified or anonymized
Informed Consent: Example 1
Informed Consent explicitly prohibits secondary uses of data
“your trial data from the XYZ breast cancer study will be made available to
XYZ investigators at UCSF and regulators who may need to review your data
for regulatory purposes.”
• Implies that data would not be shared beyond original trial
purpose (even if anonymized)
• Best practice would recommend not using this data for secondary
research purposes
• Participants may be re-consented for secondary uses of their data
Informed Consent: Example 2
ICF is silent regarding secondary uses of data (most common)
- No explicit promises were made to the contrary, secondary uses of
data are thought permissible if the data are “anonymized” or “de-
identified”
• Consider additional consent / notice requirements of particular regulatory
regime
Increasing trend to require notice of and/or consent to future uses of
de-identified or anonymized data (Revised Common Rule)
HOW TO REQUEST DATA VIA VIVLI
Agnostic to Disease, Funder or Data Contributor
18 Therapeutic
Areas Covered by
Vivli Requests
12/11/20 36
TYPE
Number of
Requests
Cardiovascular 25
Dermatology 7
Endocrinology 6
Gastroenterology 9
Hematology 3
Infectious Disease 5
Methods 12
Neurology 25
Oncology 52
Orthopedics 5
Psychiatry 13
Pulmonary 18
Rheumatology 30
Other 7
Total 217
217 Requests as of November 2020
7 of the most
requested studies
on Vivli are in IBD
37
Crohn's Disease 5
UC 2
Rheumatology RA 14
AFIB 1
Stroke 1
Bladder 3
Breast 1
NSCLC 4
RCC 1
Covid 19 1
Depression 1
Duchenne 1
Hidradinitis 2
Other
Oncology
Cardiology
Gastroenterology
400+ NIDDK topic studies available for request
NIDDK-related studies on Vivli
• 400+ studies available in NIDDK-related fields
• Sample of requests already approved related to NIDDK
1. Chronic Kidney Disease Epidemiology – Clinical Trials Consortium (CKD-EPI CT)
2. TRIAL-INFORMED DKA MITIGATION EDUCATIONAL TOOL
3. Stratification of SGLT2 inhibitor glucose lowering therapy in Type 2 diabetes
4. The impact of biological interventions on health-related quality of life in adults with
Crohn's disease
5. Predictors of Mucosal Healing in Ulcerative Colitis: A Post-hoc Analysis of VARSITY
12/11/20 38
Types of Planned
Secondary
Research
12/11/20 39
N = 217
New Research
IPD Meta-Analysis
Confirmatory
Research
Summary M-A
Getting to Answers…
Vivli Pioneer Award Winner
All phase 2/3, completed, randomized,
double-blinded, placebo-controlled, trials of
FDA-approved drugs for moderate-to-severe
Crohn’s Disease (at the FDA-approved dose)
in adults, extending to at least 24 weeks in
duration
Dr. Vivek Rudrapatna
Assistant Professor, UCSF
Requesting IPD
REQUEST REVIEW
Reviewed by
sponsor or
independent
review panel.
Sponsor provides
IPD, data
dictionary,
protocol,
statistical
analysis plan.
Studies Requested; IPD Obtained
Individual participant-level data (IPD) from 5011 patients in 10 trials
Trials Drug Sponsor Original Data Sharing Platform
PRECISE 1/2 Certolizumab UCB CSDR
CLASSIC 1/2 Adalimumab AbbVie Vivli
GEMINI 2 Vedolizumab Takeda Vivli
ENACT Natalizumab Biogen Vivli
ACCENT 1/2 Infliximab Janssen YODA
UNITI Ustekinumab Janssen YODA
CERTIFI Ustekinumab Janssen YODA
Vivli Secure Environment Bridges Multiple Platforms
30+ tools
• SAS
• STATA
• MS Office
• R, + over 300 pkgs
• Jupyter Notebook
• Python, + over 250 pkgs
• Spark
• Anaconda
Vivli Secure Environment
BYO data, scripts, software on request
Vivli FAIR Data Sharing
• Findable
- metadata model, annotated using Cochrane vocabulary (SNOMED, WHO
ATC, MedDRA)
- Dataset DOIs minted by DataCite
• Accessible
- from fully downloadable to available only in secure MS Azure environment
• Interoperable, Reusable
- SDTM format recommended but not required
- No requirement for common variables
Outcomes of Vivli Data Sharing
• 10 publications so far (1st data requests submitted July 2018)
- e.g., JNCI, Annals of Oncology, Clin Exp Dermatol, J Am Acad Derm, Ann of
Rheum Dis, BMC Medicine
• Scientific value: case example of hidradenitis suppurativa
Dr. John Frew
Rockefeller University
”I was at a conference in Europe last month and a half a dozen speakers were
citing my research as the basis for re-thinking trial designs and the outcome
measures used and whether multiple measures need to used or a new one
developed to take these findings into account.”
“Having all this data available via the Vivli platform is a key tenet to
evaluating the epidemiological aspects of this condition. This is
beyond valuable.”
DATA SHARING FUTURE
• Academic participation
• awareness of data sharing initiatives and requirements
• incentives and rewards
• Data harmonization and common data elements (CDEs)
• Data stewardship from beginning of study lifecycle
• Expanding metrics of data sharing beyond total publications
Ongoing Challenges
Summary
• IPD sharing is increasingly expected
• Vivli offers a managed access platform that balances needs and value for
data contributors and data requesters
• Vivli bridges with other data sharing platforms to enable data from
multiple sources to be combined securely
• Vivli welcomes usage and partnership with the NIDDK community
Contact support@vivli.org
Explore Vivli
Log on to
Vivli.org
To explore the ~5,800 trials and begin the
search

Weitere ähnliche Inhalte

Was ist angesagt?

Lessons from the UK: Data access, patient trust & real-world impact with heal...
Lessons from the UK: Data access, patient trust & real-world impact with heal...Lessons from the UK: Data access, patient trust & real-world impact with heal...
Lessons from the UK: Data access, patient trust & real-world impact with heal...
Varsha Khodiyar
 
Strand 1: Connecting research and researchers: An introduction to ORCID by Ed...
Strand 1: Connecting research and researchers: An introduction to ORCID by Ed...Strand 1: Connecting research and researchers: An introduction to ORCID by Ed...
Strand 1: Connecting research and researchers: An introduction to ORCID by Ed...
OAbooks
 
New approaches to data management: supporting FAIR data sharing at Springer N...
New approaches to data management: supporting FAIR data sharing at Springer N...New approaches to data management: supporting FAIR data sharing at Springer N...
New approaches to data management: supporting FAIR data sharing at Springer N...
Varsha Khodiyar
 

Was ist angesagt? (20)

Research Data Management in practice, RIA Data Management Workshop Brisbane 2017
Research Data Management in practice, RIA Data Management Workshop Brisbane 2017Research Data Management in practice, RIA Data Management Workshop Brisbane 2017
Research Data Management in practice, RIA Data Management Workshop Brisbane 2017
 
Standardising research data policies, research data network
Standardising research data policies, research data networkStandardising research data policies, research data network
Standardising research data policies, research data network
 
Connected health cities
Connected health citiesConnected health cities
Connected health cities
 
Lessons from the UK: Data access, patient trust & real-world impact with heal...
Lessons from the UK: Data access, patient trust & real-world impact with heal...Lessons from the UK: Data access, patient trust & real-world impact with heal...
Lessons from the UK: Data access, patient trust & real-world impact with heal...
 
North American funders' DMP requirements
North American funders' DMP requirementsNorth American funders' DMP requirements
North American funders' DMP requirements
 
Intro to Data Management Plans
Intro to Data Management PlansIntro to Data Management Plans
Intro to Data Management Plans
 
Towards Open Research
Towards Open ResearchTowards Open Research
Towards Open Research
 
State of open research data open con
State of open research data   open conState of open research data   open con
State of open research data open con
 
Strand 1: Connecting research and researchers: An introduction to ORCID by Ed...
Strand 1: Connecting research and researchers: An introduction to ORCID by Ed...Strand 1: Connecting research and researchers: An introduction to ORCID by Ed...
Strand 1: Connecting research and researchers: An introduction to ORCID by Ed...
 
Open Science Globally: Some Developments/Dr Simon Hodson
Open Science Globally: Some Developments/Dr Simon HodsonOpen Science Globally: Some Developments/Dr Simon Hodson
Open Science Globally: Some Developments/Dr Simon Hodson
 
Data management policies
Data management policiesData management policies
Data management policies
 
Digital curation for postgraduate students
Digital curation for postgraduate studentsDigital curation for postgraduate students
Digital curation for postgraduate students
 
DAF methodology
DAF methodologyDAF methodology
DAF methodology
 
Managing sensitive data at the University of Bristol
Managing sensitive data at the University of BristolManaging sensitive data at the University of Bristol
Managing sensitive data at the University of Bristol
 
Towards a frictionless data future
Towards a frictionless data futureTowards a frictionless data future
Towards a frictionless data future
 
Publishing perspectives on data management & future directions
Publishing perspectives on data management & future directionsPublishing perspectives on data management & future directions
Publishing perspectives on data management & future directions
 
Frances Burton on sensitive data
Frances Burton on sensitive dataFrances Burton on sensitive data
Frances Burton on sensitive data
 
New approaches to data management: supporting FAIR data sharing at Springer N...
New approaches to data management: supporting FAIR data sharing at Springer N...New approaches to data management: supporting FAIR data sharing at Springer N...
New approaches to data management: supporting FAIR data sharing at Springer N...
 
Introduction to Data Management Planning
Introduction to Data Management PlanningIntroduction to Data Management Planning
Introduction to Data Management Planning
 
RIOXX in context: demonstrating compliance with RCUK open access policy - Ben...
RIOXX in context: demonstrating compliance with RCUK open access policy - Ben...RIOXX in context: demonstrating compliance with RCUK open access policy - Ben...
RIOXX in context: demonstrating compliance with RCUK open access policy - Ben...
 

Ähnlich wie dkNET Webinar - Vivli: A Global Clinical Trials Data Sharing Platform 12/11/2020

Ähnlich wie dkNET Webinar - Vivli: A Global Clinical Trials Data Sharing Platform 12/11/2020 (20)

How to elaborate a data management plan
How to elaborate a data management planHow to elaborate a data management plan
How to elaborate a data management plan
 
Increasing transparency in Medical Education through Open Data
Increasing transparency in Medical Education through Open Data Increasing transparency in Medical Education through Open Data
Increasing transparency in Medical Education through Open Data
 
Data Governance in two different data archives: When is a federal data reposi...
Data Governance in two different data archives: When is a federal data reposi...Data Governance in two different data archives: When is a federal data reposi...
Data Governance in two different data archives: When is a federal data reposi...
 
Shifting the goal post – from high impact journals to high impact data
 Shifting the goal post – from high impact journals to high impact data Shifting the goal post – from high impact journals to high impact data
Shifting the goal post – from high impact journals to high impact data
 
Connecting the Data Wires
Connecting the Data WiresConnecting the Data Wires
Connecting the Data Wires
 
Crossing the Threshold: Clinical Portals from a Site Perspective
Crossing the Threshold: Clinical Portals from a Site Perspective Crossing the Threshold: Clinical Portals from a Site Perspective
Crossing the Threshold: Clinical Portals from a Site Perspective
 
Data Virtualization Modernizes Biobanking
Data Virtualization Modernizes BiobankingData Virtualization Modernizes Biobanking
Data Virtualization Modernizes Biobanking
 
The art of depositing social science data: maximising quality and ensuring go...
The art of depositing social science data: maximising quality and ensuring go...The art of depositing social science data: maximising quality and ensuring go...
The art of depositing social science data: maximising quality and ensuring go...
 
Open Research Data & H2020
Open Research Data & H2020Open Research Data & H2020
Open Research Data & H2020
 
Workshop intro090314
Workshop intro090314Workshop intro090314
Workshop intro090314
 
DMP health sciences
DMP health sciencesDMP health sciences
DMP health sciences
 
Barbara Bierer, "Clinical Trial Data Sharing"
Barbara Bierer, "Clinical Trial Data Sharing"Barbara Bierer, "Clinical Trial Data Sharing"
Barbara Bierer, "Clinical Trial Data Sharing"
 
NIH Data Sharing Plan Workshop - Handout
NIH Data Sharing Plan Workshop - HandoutNIH Data Sharing Plan Workshop - Handout
NIH Data Sharing Plan Workshop - Handout
 
Research data sharing
Research data sharingResearch data sharing
Research data sharing
 
Overview of the CBD DSI Policy Options Matrix
Overview of the CBD DSI Policy Options MatrixOverview of the CBD DSI Policy Options Matrix
Overview of the CBD DSI Policy Options Matrix
 
Incentives for modern research
Incentives for modern researchIncentives for modern research
Incentives for modern research
 
EU Clinical Trials Regulation - IPPOSI perspective
EU Clinical Trials Regulation - IPPOSI perspectiveEU Clinical Trials Regulation - IPPOSI perspective
EU Clinical Trials Regulation - IPPOSI perspective
 
DataONE Education Module 02: Data Sharing
DataONE Education Module 02: Data SharingDataONE Education Module 02: Data Sharing
DataONE Education Module 02: Data Sharing
 
Collaborative Medicinal Chemistry Research
Collaborative Medicinal Chemistry ResearchCollaborative Medicinal Chemistry Research
Collaborative Medicinal Chemistry Research
 
Sharing and standards christopher hart - clinical innovation and partnering...
Sharing and standards   christopher hart - clinical innovation and partnering...Sharing and standards   christopher hart - clinical innovation and partnering...
Sharing and standards christopher hart - clinical innovation and partnering...
 

Mehr von dkNET

dkNET Webinar "Texera: A Scalable Cloud Computing Platform for Sharing Data a...
dkNET Webinar "Texera: A Scalable Cloud Computing Platform for Sharing Data a...dkNET Webinar "Texera: A Scalable Cloud Computing Platform for Sharing Data a...
dkNET Webinar "Texera: A Scalable Cloud Computing Platform for Sharing Data a...
dkNET
 
dkNET Webinar: Tabula Sapiens 03/22/2024
dkNET Webinar: Tabula Sapiens 03/22/2024dkNET Webinar: Tabula Sapiens 03/22/2024
dkNET Webinar: Tabula Sapiens 03/22/2024
dkNET
 
dkNET Webinar "The Multi-Omic Response to Exercise Training Across Rat Tissue...
dkNET Webinar "The Multi-Omic Response to Exercise Training Across Rat Tissue...dkNET Webinar "The Multi-Omic Response to Exercise Training Across Rat Tissue...
dkNET Webinar "The Multi-Omic Response to Exercise Training Across Rat Tissue...
dkNET
 
dkNET Webinar: The Collaborative Microbial Metabolite Center – Democratizing ...
dkNET Webinar: The Collaborative Microbial Metabolite Center – Democratizing ...dkNET Webinar: The Collaborative Microbial Metabolite Center – Democratizing ...
dkNET Webinar: The Collaborative Microbial Metabolite Center – Democratizing ...
dkNET
 
dkNET Webinar: An Encyclopedia of the Adipose Tissue Secretome to Identify Me...
dkNET Webinar: An Encyclopedia of the Adipose Tissue Secretome to Identify Me...dkNET Webinar: An Encyclopedia of the Adipose Tissue Secretome to Identify Me...
dkNET Webinar: An Encyclopedia of the Adipose Tissue Secretome to Identify Me...
dkNET
 
dkNET Webinar: A Single Cell Atlas of Human and Mouse White Adipose Tissue 11...
dkNET Webinar: A Single Cell Atlas of Human and Mouse White Adipose Tissue 11...dkNET Webinar: A Single Cell Atlas of Human and Mouse White Adipose Tissue 11...
dkNET Webinar: A Single Cell Atlas of Human and Mouse White Adipose Tissue 11...
dkNET
 
dkNET Webinar "The National Sleep Research Resource (NSRR) - Opportunities fo...
dkNET Webinar "The National Sleep Research Resource (NSRR) - Opportunities fo...dkNET Webinar "The National Sleep Research Resource (NSRR) - Opportunities fo...
dkNET Webinar "The National Sleep Research Resource (NSRR) - Opportunities fo...
dkNET
 
dkNET Webinar: Discover the Latest from dkNET - Biomed Resource Watch 06/02/2023
dkNET Webinar: Discover the Latest from dkNET - Biomed Resource Watch 06/02/2023dkNET Webinar: Discover the Latest from dkNET - Biomed Resource Watch 06/02/2023
dkNET Webinar: Discover the Latest from dkNET - Biomed Resource Watch 06/02/2023
dkNET
 
dkNET Webinar: Leveraging Computational Strategies to Identify Type 1 Diabete...
dkNET Webinar: Leveraging Computational Strategies to Identify Type 1 Diabete...dkNET Webinar: Leveraging Computational Strategies to Identify Type 1 Diabete...
dkNET Webinar: Leveraging Computational Strategies to Identify Type 1 Diabete...
dkNET
 
dkNET Webinar: Estimating Relative Beta-Cell Function During Continuous Gluco...
dkNET Webinar: Estimating Relative Beta-Cell Function During Continuous Gluco...dkNET Webinar: Estimating Relative Beta-Cell Function During Continuous Gluco...
dkNET Webinar: Estimating Relative Beta-Cell Function During Continuous Gluco...
dkNET
 
dkNET Webinar: Postpartum Glucose Screening Among Homeless Women with Gestati...
dkNET Webinar: Postpartum Glucose Screening Among Homeless Women with Gestati...dkNET Webinar: Postpartum Glucose Screening Among Homeless Women with Gestati...
dkNET Webinar: Postpartum Glucose Screening Among Homeless Women with Gestati...
dkNET
 
dkNET Webinar: Choosing Sample Sizes for Multilevel and Longitudinal Studies ...
dkNET Webinar: Choosing Sample Sizes for Multilevel and Longitudinal Studies ...dkNET Webinar: Choosing Sample Sizes for Multilevel and Longitudinal Studies ...
dkNET Webinar: Choosing Sample Sizes for Multilevel and Longitudinal Studies ...
dkNET
 
dkNET Webinar: : FAIR Data Curation of Antibody/B-cell and T-cell Receptor Se...
dkNET Webinar: : FAIR Data Curation of Antibody/B-cell and T-cell Receptor Se...dkNET Webinar: : FAIR Data Curation of Antibody/B-cell and T-cell Receptor Se...
dkNET Webinar: : FAIR Data Curation of Antibody/B-cell and T-cell Receptor Se...
dkNET
 
dkNET Webinar "The Mission and Progress of the(sugar)science: Helping Scienti...
dkNET Webinar "The Mission and Progress of the(sugar)science: Helping Scienti...dkNET Webinar "The Mission and Progress of the(sugar)science: Helping Scienti...
dkNET Webinar "The Mission and Progress of the(sugar)science: Helping Scienti...
dkNET
 
dkNET Webinar: Discovering and Evaluating Antibodies, Cell Lines, Software To...
dkNET Webinar: Discovering and Evaluating Antibodies, Cell Lines, Software To...dkNET Webinar: Discovering and Evaluating Antibodies, Cell Lines, Software To...
dkNET Webinar: Discovering and Evaluating Antibodies, Cell Lines, Software To...
dkNET
 

Mehr von dkNET (20)

dkNET Office Hours: NIH Data Management and Sharing Mandate 05/03/2024
dkNET Office Hours: NIH Data Management and Sharing Mandate  05/03/2024dkNET Office Hours: NIH Data Management and Sharing Mandate  05/03/2024
dkNET Office Hours: NIH Data Management and Sharing Mandate 05/03/2024
 
dkNET Webinar "Texera: A Scalable Cloud Computing Platform for Sharing Data a...
dkNET Webinar "Texera: A Scalable Cloud Computing Platform for Sharing Data a...dkNET Webinar "Texera: A Scalable Cloud Computing Platform for Sharing Data a...
dkNET Webinar "Texera: A Scalable Cloud Computing Platform for Sharing Data a...
 
dkNET Webinar: Unlocking the Power of FAIR Data Sharing with ImmPort 04/12/2024
dkNET Webinar: Unlocking the Power of FAIR Data Sharing with ImmPort 04/12/2024dkNET Webinar: Unlocking the Power of FAIR Data Sharing with ImmPort 04/12/2024
dkNET Webinar: Unlocking the Power of FAIR Data Sharing with ImmPort 04/12/2024
 
dkNET Webinar: Tabula Sapiens 03/22/2024
dkNET Webinar: Tabula Sapiens 03/22/2024dkNET Webinar: Tabula Sapiens 03/22/2024
dkNET Webinar: Tabula Sapiens 03/22/2024
 
dkNET Webinar "The Multi-Omic Response to Exercise Training Across Rat Tissue...
dkNET Webinar "The Multi-Omic Response to Exercise Training Across Rat Tissue...dkNET Webinar "The Multi-Omic Response to Exercise Training Across Rat Tissue...
dkNET Webinar "The Multi-Omic Response to Exercise Training Across Rat Tissue...
 
dkNET Webinar: The Collaborative Microbial Metabolite Center – Democratizing ...
dkNET Webinar: The Collaborative Microbial Metabolite Center – Democratizing ...dkNET Webinar: The Collaborative Microbial Metabolite Center – Democratizing ...
dkNET Webinar: The Collaborative Microbial Metabolite Center – Democratizing ...
 
dkNET Webinar: An Encyclopedia of the Adipose Tissue Secretome to Identify Me...
dkNET Webinar: An Encyclopedia of the Adipose Tissue Secretome to Identify Me...dkNET Webinar: An Encyclopedia of the Adipose Tissue Secretome to Identify Me...
dkNET Webinar: An Encyclopedia of the Adipose Tissue Secretome to Identify Me...
 
dkNET Webinar: A Single Cell Atlas of Human and Mouse White Adipose Tissue 11...
dkNET Webinar: A Single Cell Atlas of Human and Mouse White Adipose Tissue 11...dkNET Webinar: A Single Cell Atlas of Human and Mouse White Adipose Tissue 11...
dkNET Webinar: A Single Cell Atlas of Human and Mouse White Adipose Tissue 11...
 
dkNET Webinar "The National Sleep Research Resource (NSRR) - Opportunities fo...
dkNET Webinar "The National Sleep Research Resource (NSRR) - Opportunities fo...dkNET Webinar "The National Sleep Research Resource (NSRR) - Opportunities fo...
dkNET Webinar "The National Sleep Research Resource (NSRR) - Opportunities fo...
 
dkNET Office Hours - "Are You Ready for 2023: New NIH Data Management and Sha...
dkNET Office Hours - "Are You Ready for 2023: New NIH Data Management and Sha...dkNET Office Hours - "Are You Ready for 2023: New NIH Data Management and Sha...
dkNET Office Hours - "Are You Ready for 2023: New NIH Data Management and Sha...
 
dkNET Webinar: Discover the Latest from dkNET - Biomed Resource Watch 06/02/2023
dkNET Webinar: Discover the Latest from dkNET - Biomed Resource Watch 06/02/2023dkNET Webinar: Discover the Latest from dkNET - Biomed Resource Watch 06/02/2023
dkNET Webinar: Discover the Latest from dkNET - Biomed Resource Watch 06/02/2023
 
dkNET Webinar: Leveraging Computational Strategies to Identify Type 1 Diabete...
dkNET Webinar: Leveraging Computational Strategies to Identify Type 1 Diabete...dkNET Webinar: Leveraging Computational Strategies to Identify Type 1 Diabete...
dkNET Webinar: Leveraging Computational Strategies to Identify Type 1 Diabete...
 
dkNET Webinar: Estimating Relative Beta-Cell Function During Continuous Gluco...
dkNET Webinar: Estimating Relative Beta-Cell Function During Continuous Gluco...dkNET Webinar: Estimating Relative Beta-Cell Function During Continuous Gluco...
dkNET Webinar: Estimating Relative Beta-Cell Function During Continuous Gluco...
 
dkNET Office Hours - "Are You Ready for 2023: New NIH Data Management and Sha...
dkNET Office Hours - "Are You Ready for 2023: New NIH Data Management and Sha...dkNET Office Hours - "Are You Ready for 2023: New NIH Data Management and Sha...
dkNET Office Hours - "Are You Ready for 2023: New NIH Data Management and Sha...
 
dkNET Webinar: Postpartum Glucose Screening Among Homeless Women with Gestati...
dkNET Webinar: Postpartum Glucose Screening Among Homeless Women with Gestati...dkNET Webinar: Postpartum Glucose Screening Among Homeless Women with Gestati...
dkNET Webinar: Postpartum Glucose Screening Among Homeless Women with Gestati...
 
dkNET Webinar: Choosing Sample Sizes for Multilevel and Longitudinal Studies ...
dkNET Webinar: Choosing Sample Sizes for Multilevel and Longitudinal Studies ...dkNET Webinar: Choosing Sample Sizes for Multilevel and Longitudinal Studies ...
dkNET Webinar: Choosing Sample Sizes for Multilevel and Longitudinal Studies ...
 
dkNET Webinar: : FAIR Data Curation of Antibody/B-cell and T-cell Receptor Se...
dkNET Webinar: : FAIR Data Curation of Antibody/B-cell and T-cell Receptor Se...dkNET Webinar: : FAIR Data Curation of Antibody/B-cell and T-cell Receptor Se...
dkNET Webinar: : FAIR Data Curation of Antibody/B-cell and T-cell Receptor Se...
 
dkNET Office Hours - "Are You Ready for 2023? New NIH Data Management and Sha...
dkNET Office Hours - "Are You Ready for 2023? New NIH Data Management and Sha...dkNET Office Hours - "Are You Ready for 2023? New NIH Data Management and Sha...
dkNET Office Hours - "Are You Ready for 2023? New NIH Data Management and Sha...
 
dkNET Webinar "The Mission and Progress of the(sugar)science: Helping Scienti...
dkNET Webinar "The Mission and Progress of the(sugar)science: Helping Scienti...dkNET Webinar "The Mission and Progress of the(sugar)science: Helping Scienti...
dkNET Webinar "The Mission and Progress of the(sugar)science: Helping Scienti...
 
dkNET Webinar: Discovering and Evaluating Antibodies, Cell Lines, Software To...
dkNET Webinar: Discovering and Evaluating Antibodies, Cell Lines, Software To...dkNET Webinar: Discovering and Evaluating Antibodies, Cell Lines, Software To...
dkNET Webinar: Discovering and Evaluating Antibodies, Cell Lines, Software To...
 

Kürzlich hochgeladen

Formation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksFormation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disks
Sérgio Sacani
 
SCIENCE-4-QUARTER4-WEEK-4-PPT-1 (1).pptx
SCIENCE-4-QUARTER4-WEEK-4-PPT-1 (1).pptxSCIENCE-4-QUARTER4-WEEK-4-PPT-1 (1).pptx
SCIENCE-4-QUARTER4-WEEK-4-PPT-1 (1).pptx
RizalinePalanog2
 
Pests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdfPests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdf
PirithiRaju
 
Pests of mustard_Identification_Management_Dr.UPR.pdf
Pests of mustard_Identification_Management_Dr.UPR.pdfPests of mustard_Identification_Management_Dr.UPR.pdf
Pests of mustard_Identification_Management_Dr.UPR.pdf
PirithiRaju
 
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune WaterworldsBiogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Sérgio Sacani
 
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Lokesh Kothari
 
Bacterial Identification and Classifications
Bacterial Identification and ClassificationsBacterial Identification and Classifications
Bacterial Identification and Classifications
Areesha Ahmad
 

Kürzlich hochgeladen (20)

Formation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksFormation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disks
 
Vip profile Call Girls In Lonavala 9748763073 For Genuine Sex Service At Just...
Vip profile Call Girls In Lonavala 9748763073 For Genuine Sex Service At Just...Vip profile Call Girls In Lonavala 9748763073 For Genuine Sex Service At Just...
Vip profile Call Girls In Lonavala 9748763073 For Genuine Sex Service At Just...
 
COST ESTIMATION FOR A RESEARCH PROJECT.pptx
COST ESTIMATION FOR A RESEARCH PROJECT.pptxCOST ESTIMATION FOR A RESEARCH PROJECT.pptx
COST ESTIMATION FOR A RESEARCH PROJECT.pptx
 
SCIENCE-4-QUARTER4-WEEK-4-PPT-1 (1).pptx
SCIENCE-4-QUARTER4-WEEK-4-PPT-1 (1).pptxSCIENCE-4-QUARTER4-WEEK-4-PPT-1 (1).pptx
SCIENCE-4-QUARTER4-WEEK-4-PPT-1 (1).pptx
 
9999266834 Call Girls In Noida Sector 22 (Delhi) Call Girl Service
9999266834 Call Girls In Noida Sector 22 (Delhi) Call Girl Service9999266834 Call Girls In Noida Sector 22 (Delhi) Call Girl Service
9999266834 Call Girls In Noida Sector 22 (Delhi) Call Girl Service
 
Forensic Biology & Its biological significance.pdf
Forensic Biology & Its biological significance.pdfForensic Biology & Its biological significance.pdf
Forensic Biology & Its biological significance.pdf
 
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...
 
Pests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdfPests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdf
 
Pests of mustard_Identification_Management_Dr.UPR.pdf
Pests of mustard_Identification_Management_Dr.UPR.pdfPests of mustard_Identification_Management_Dr.UPR.pdf
Pests of mustard_Identification_Management_Dr.UPR.pdf
 
Clean In Place(CIP).pptx .
Clean In Place(CIP).pptx                 .Clean In Place(CIP).pptx                 .
Clean In Place(CIP).pptx .
 
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune WaterworldsBiogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
 
American Type Culture Collection (ATCC).pptx
American Type Culture Collection (ATCC).pptxAmerican Type Culture Collection (ATCC).pptx
American Type Culture Collection (ATCC).pptx
 
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
 
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verified
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verifiedConnaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verified
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verified
 
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls AgencyHire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
 
Factory Acceptance Test( FAT).pptx .
Factory Acceptance Test( FAT).pptx       .Factory Acceptance Test( FAT).pptx       .
Factory Acceptance Test( FAT).pptx .
 
SAMASTIPUR CALL GIRL 7857803690 LOW PRICE ESCORT SERVICE
SAMASTIPUR CALL GIRL 7857803690  LOW PRICE  ESCORT SERVICESAMASTIPUR CALL GIRL 7857803690  LOW PRICE  ESCORT SERVICE
SAMASTIPUR CALL GIRL 7857803690 LOW PRICE ESCORT SERVICE
 
GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)
 
Bacterial Identification and Classifications
Bacterial Identification and ClassificationsBacterial Identification and Classifications
Bacterial Identification and Classifications
 
❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.
❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.
❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.
 

dkNET Webinar - Vivli: A Global Clinical Trials Data Sharing Platform 12/11/2020

  • 1. Vivli – Global Clinical Trials Data Sharing Platform Ida Sim, MD, PhD Vivli Co-Founder Professor of Medicine, UCSF December 11, 2020
  • 3. Vivli: The Difference Data Re-Use Can Make
  • 4. Agenda • Overview of clinical trial data sharing • How can Vivli help me share my clinical study data? • How can I request data from other completed studies?
  • 5. Today’s Menu of Crohn’s Treatments Crohn’s Disease Infliximab (TNFi, 1998) Natalizumab (anti-⍺4, 2004) Adalimumab (TNFi, 2007) Certolizumab (TNFi, 2008) Ustekinumab (anti-IL12/23, 2016) Vedolizumab (anti-⍺4β7, 2014) Surgery ???
  • 6. Questions, questions… Trials Drug PRECISE 1/2 Certolizumab CLASSIC 1/2 Adalimumab GEMINI 2 Vedolizumab ENACT Natalizumab ACCENT 1/2 Infliximab UNITI Ustekinumab CERTIFI Ustekinumab Efficacy questions • Are there subgroups that preferentially respond to some drugs over others? • How much time do we need to confidently determine if a patient will favorably respond? What data do we need to make this determination? Safety • Are there certain subgroups more susceptible to certain severe adverse effects (SAEs) than others? • What does this tell us about the biology of SAEs as they relate to drug mechanism of action?
  • 7. Getting to Answers… Vivli Pioneer Award Winner Question: In the absence of head-to-head randomized trials, can we determine which Crohn’s treatments are better than others (and in whom)? Current approach: Summary-level meta-analysis • Cons: differences in doses, treatment durations, definitions of response, allowed concomitant medications, trial designs, underlying cohorts, ecological fallacy, etc. Dr. Vivek Rudrapatna Assistant Professor, UCSF Summary-level Meta-Analysis
  • 9. Clinical trials registration Summary data shared Clinical Study reports - CSRs & Individual Participant Data (IPD) shared EMA Policy 0070 (2014), Policy 0043 ( 2010) Health Canada Regulations (2019) (IPD not included) PhRMA/EFPIA principles for data sharing (2014) IOM Sharing Clinical Trial Data report (2015) Evolution of Clinical Trial Data Sharing ICMJE requirement for publication (2004) WHO global policy (2006) FDAAA requirement for applicable trials (2007) FDAAA Final Rule (published 2016, effective Jan. 2017) EU no. 536/2014 requires lay summaries (effective late 2020) 2004 2016 2018…
  • 10. 2018: Major Journals Require IPD Sharing Statement • Trial manuscript submissions must include a data sharing statement - who, what, when, where, and why and how IPD will be shared • Some journals routinely request/encourage IPD be shared - e.g., BMJ, PLoS Medicine, Lancet ICMJE: International Committee of Medical Journal Editors
  • 11. Mid-2018: Vivli Launches 1.3M Participants from 98 countries 2500+ Trials 15 Members 2.2M Participants from 109 countries 4700+ Trials 22 Members 2019 3.6M Participants from 119 countries 5800+ Trials 29 Members 2020
  • 12. 2019: Data Sharing Plans at Trial Registration • Data sharing plans added to ClinicalTrials.gov registration • ICMJE requires that you included a data sharing plan at time of trial registration
  • 13. 2023: NIH Requiring Data Sharing Plans • Data sharing plan must be included in NIH grant proposals - but will not be scored as part of peer review • Allowed to budget for data sharing costs • Encourages use of established repositories (including Vivli) January 25, 2023
  • 14. Benefits of IPD Sharing • Honors the commitments of participants • Strengthens trust in the clinical research enterprise • Prevents repetitive trials and putting additional patients at risk • Enables new discovery and scientific insights through combining data from disparate sources
  • 15. Increases Citations Too! https://doi.org/10.1371/journal.pne.0000308 “The 48% of trials with publicly available microarray data received 85% of the aggregate citations. Publicly available data was significantly (p = 0.006) associated with a 69% increase in citations”
  • 17. Introducing Vivli THE ENTITY • Non-profit organization • Convening function - Biomedical industry (pharma, bio, device) - Academia - Non-profit funders and foundations - Government (funders and regulators) - Patient/patient advocates • Governance and policy - Harmonizing language & agreements - Move culture of data sharing • Advocacy - Lowering barriers - Promoting incentives • Oversight of Implementation THE PLATFORM • A user-friendly, secure, state-of-the art data sharing and computing platform • Serving the international community, including trials from any disease, country, sponsor, funder, or investigator - Open search - Robust security - Modern tools and technologies
  • 18. HOW TO SHARE DATA VIA VIVLI
  • 19. Balancing Risks and Benefits Openness Privacy Protecting participant privacyMaximizing the value of the data collected respects participants’ contributions
  • 20. Approaches to Sharing Human Data Type Key Features Examples Open access Anyone can access, simple account creation, simple on-line data use agreement (DUA) ImmPort, EMA, Project Datasphere Managed access • for scientific purposes only (standard request form) • (independent) review process • secure environment for data access • clear legal framework Vivli, CSDR, SOAR, VISTA Restricted access Invitation only, access only to those who provide data DataCelerate, IBD Plexus
  • 22. IPD Sharing Requirements Figshare & Dryad Internal University Repositories “Walled Gardens” Vivli Data Contributors IPD can be stored and securely hosted ✔ ✔ ✔ Harmonized data contributor and data use agreements ✔ ✔ IPD can be shared securely to anyone in the world ✗ ✔ Independent request review available ✔ DataUsers One-stop shop for finding IPD on any therapeutic area from any contributor worldwide ✗ ✔ Harmonized data request form ✔ Additional data and software can be brought into the research environment ✔ Uniform security standards and policies ✔ When to Use Vivli Unrestricted access ok Sharing only within team Sharing only within consortium Wide but managed access
  • 23. IPD Sharing over Study Lifecycle Grant Submission Trial Registration Trial Completion 12 Months Later Data sharing plan in proposal Data sharing plan in registration Archive IPD Data Package in Vivli Summary results to CT.gov Publication Data sharing plan to journal 12 Months Later Summary results to CT.gov IPD Data Package required contents • IPD • Protocol • Data Dictionary • Statistical Analysis Plan Optional: Informed consent, case report form, analytic code… Data sharing plan in proposal
  • 24. Data Contributor Agreement – Key provisions Researcher agrees • The data are provided in an anonymized form • Researcher has the rights to share the data and continues to maintain pre- existing ownership rights Vivli agrees • Data recipients must sign the Vivli (or partner) DUA for access
  • 25. Measures must be taken to reduce risk of re-identification • De-identification: identifiers are removed to reduce the risk that a person can be re-identified from the data • Anonymization: erasing or encrypting all identifiers that connect an individual to stored data Privacy Analytics partnership • Special discounted pricing and turn around time for Vivli members (industry sponsors and academics) • Secure and audited environment for performing the anonymization • Risk-based quantitative anonymization approach: consistent with current best practices as recommended by EMA and Health Canada IPD Must be Anonymized
  • 26. Data Use Agreement – Key provisions • Vivli manages DUA process for members who use the Vivli harmonized DUA • Vivli members who are partner platforms may use their own DUA as long as it does not conflict with the Vivli DUA (cross-platform sharing) Key Vivli DUA provisions. Researcher agrees: • To adhere to submitted research plan • To make reasonable efforts to publish • Not to re-identify participants CONFIDENTIAL - Not for distribution
  • 27. Costs Per Study (non-member) 27 Study Curated and Listed on Vivli Anonymized IPD Storage Independent Review Panel One-off Cost Study ready for sharing and needs storage ü ü $4,000 Study ready for sharing and needs Storage and Independent Review Panel ü ü ü $9,500 Anonymization ü ü ü Provided by Privacy Analytics (additional $2,000-$5000 / dataset)
  • 28. Institutional Membership • Institutions can join Vivli as a member - covers data depositions from that institution • Steps 1. Sign membership agreement 2. Agree to harmonized Data Contributor Agreement / Data Use Agreement (DCA/DUA) 3. Post membership page on Vivli website explaining how requests will be reviewed, etc. • Contact jwood@vivli.org
  • 29. IPD Package is Listed and Requestable Grant Submission Trial Registration Trial Completion 12 Months Later Data sharing plan in proposal Data sharing plan in registration Archive IPD Data Package in Vivli Summary results to CT.gov Searchable Requestable Shared Available for requests IPD reused, tracked Listed on Vivli Embargo Period Publication Data sharing plan to journal 12 Months Later Summary results to CT.gov
  • 30. Informed Consent and IPD Sharing • Typically, data are shared in “de-identified” or “anonymized” form • Vivli accepts only anonymized data • The extent to which consent remains relevant following de-identification or anonymization is a debated issue • Common view is that promises made to research subjects at the time of consent must be respected, regardless of whether data have been de-identified or anonymized
  • 31. Informed Consent: Example 1 Informed Consent explicitly prohibits secondary uses of data “your trial data from the XYZ breast cancer study will be made available to XYZ investigators at UCSF and regulators who may need to review your data for regulatory purposes.” • Implies that data would not be shared beyond original trial purpose (even if anonymized) • Best practice would recommend not using this data for secondary research purposes • Participants may be re-consented for secondary uses of their data
  • 32. Informed Consent: Example 2 ICF is silent regarding secondary uses of data (most common) - No explicit promises were made to the contrary, secondary uses of data are thought permissible if the data are “anonymized” or “de- identified” • Consider additional consent / notice requirements of particular regulatory regime Increasing trend to require notice of and/or consent to future uses of de-identified or anonymized data (Revised Common Rule)
  • 33. HOW TO REQUEST DATA VIA VIVLI
  • 34. Agnostic to Disease, Funder or Data Contributor
  • 35.
  • 36. 18 Therapeutic Areas Covered by Vivli Requests 12/11/20 36 TYPE Number of Requests Cardiovascular 25 Dermatology 7 Endocrinology 6 Gastroenterology 9 Hematology 3 Infectious Disease 5 Methods 12 Neurology 25 Oncology 52 Orthopedics 5 Psychiatry 13 Pulmonary 18 Rheumatology 30 Other 7 Total 217 217 Requests as of November 2020
  • 37. 7 of the most requested studies on Vivli are in IBD 37 Crohn's Disease 5 UC 2 Rheumatology RA 14 AFIB 1 Stroke 1 Bladder 3 Breast 1 NSCLC 4 RCC 1 Covid 19 1 Depression 1 Duchenne 1 Hidradinitis 2 Other Oncology Cardiology Gastroenterology 400+ NIDDK topic studies available for request
  • 38. NIDDK-related studies on Vivli • 400+ studies available in NIDDK-related fields • Sample of requests already approved related to NIDDK 1. Chronic Kidney Disease Epidemiology – Clinical Trials Consortium (CKD-EPI CT) 2. TRIAL-INFORMED DKA MITIGATION EDUCATIONAL TOOL 3. Stratification of SGLT2 inhibitor glucose lowering therapy in Type 2 diabetes 4. The impact of biological interventions on health-related quality of life in adults with Crohn's disease 5. Predictors of Mucosal Healing in Ulcerative Colitis: A Post-hoc Analysis of VARSITY 12/11/20 38
  • 39. Types of Planned Secondary Research 12/11/20 39 N = 217 New Research IPD Meta-Analysis Confirmatory Research Summary M-A
  • 40. Getting to Answers… Vivli Pioneer Award Winner All phase 2/3, completed, randomized, double-blinded, placebo-controlled, trials of FDA-approved drugs for moderate-to-severe Crohn’s Disease (at the FDA-approved dose) in adults, extending to at least 24 weeks in duration Dr. Vivek Rudrapatna Assistant Professor, UCSF
  • 41. Requesting IPD REQUEST REVIEW Reviewed by sponsor or independent review panel. Sponsor provides IPD, data dictionary, protocol, statistical analysis plan.
  • 42. Studies Requested; IPD Obtained Individual participant-level data (IPD) from 5011 patients in 10 trials Trials Drug Sponsor Original Data Sharing Platform PRECISE 1/2 Certolizumab UCB CSDR CLASSIC 1/2 Adalimumab AbbVie Vivli GEMINI 2 Vedolizumab Takeda Vivli ENACT Natalizumab Biogen Vivli ACCENT 1/2 Infliximab Janssen YODA UNITI Ustekinumab Janssen YODA CERTIFI Ustekinumab Janssen YODA
  • 43. Vivli Secure Environment Bridges Multiple Platforms 30+ tools • SAS • STATA • MS Office • R, + over 300 pkgs • Jupyter Notebook • Python, + over 250 pkgs • Spark • Anaconda Vivli Secure Environment BYO data, scripts, software on request
  • 44. Vivli FAIR Data Sharing • Findable - metadata model, annotated using Cochrane vocabulary (SNOMED, WHO ATC, MedDRA) - Dataset DOIs minted by DataCite • Accessible - from fully downloadable to available only in secure MS Azure environment • Interoperable, Reusable - SDTM format recommended but not required - No requirement for common variables
  • 45. Outcomes of Vivli Data Sharing • 10 publications so far (1st data requests submitted July 2018) - e.g., JNCI, Annals of Oncology, Clin Exp Dermatol, J Am Acad Derm, Ann of Rheum Dis, BMC Medicine • Scientific value: case example of hidradenitis suppurativa Dr. John Frew Rockefeller University ”I was at a conference in Europe last month and a half a dozen speakers were citing my research as the basis for re-thinking trial designs and the outcome measures used and whether multiple measures need to used or a new one developed to take these findings into account.” “Having all this data available via the Vivli platform is a key tenet to evaluating the epidemiological aspects of this condition. This is beyond valuable.”
  • 47. • Academic participation • awareness of data sharing initiatives and requirements • incentives and rewards • Data harmonization and common data elements (CDEs) • Data stewardship from beginning of study lifecycle • Expanding metrics of data sharing beyond total publications Ongoing Challenges
  • 48. Summary • IPD sharing is increasingly expected • Vivli offers a managed access platform that balances needs and value for data contributors and data requesters • Vivli bridges with other data sharing platforms to enable data from multiple sources to be combined securely • Vivli welcomes usage and partnership with the NIDDK community Contact support@vivli.org
  • 49. Explore Vivli Log on to Vivli.org To explore the ~5,800 trials and begin the search