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The CTSA Program Center for Data to Health
(CD2H)
Program
Directors
Site PIs
CD2H
*
*haendel@ohsu.edu
Building a Translational Bridge
CD2H
How do we achieve this?
CD2H
We collectively have a remarkable opportunity to build upon the
excellence of the CTSA Program to innovate, pilot, implement, and
sustain new informatics technologies to improve human health
Idea-to-Implementation Pipeline
CD2H
Each CTSA is a workbench
CD2H
1: Harmonize the data
ecosystem
2: Realize a software
tool ecosystem
3: Synthesize a people
ecosystem
4: Catalyze technical
and cultural evolution
✓Goldilocks solutions to data
dissonance; development of
Good Data Practice (GDP);
promotion of software
standards for interoperability
✓Apply standards to harmonize
and integrate data
✓Improve navigation of the data
sharing odyssey
Aim 1: Harmonize the data ecosystem
CD2H
✓Assemble communities of practice
✓Compile software best practices and
standards
✓Configure Synapse Platform for data
sharing and provide training
✓Deploy CIELO: a software “storefront”
✓Verify & validate existing/emergent
software
Aim 2: Realize a software tool ecosystem
CD2H
✓Extend
representation of
expertise and
services across the
CTSA consortium
✓ Enable discovery
of services/
data/tools/ people
across the CTSA
consortium
Aim 3: Synthesize a people ecosystem
CD2H
Demonstration disease areas:
✓Rare disease and eliminating the diagnostic odyssey
✓Improve the impact of clinical research across the lifespan
Aim 4: Catalyze technical & cultural evolution
CD2H
Thomas Markello
Dong Chen
Justin Y. Kwan
Iren Horkayne-Szakaly
Alan Morrison
Olga Simakova
Irina Maric
Jay Lozier
Andrew R. Cullinane
Tatjana Kilo
Lynn Meister
Kourosh Pakzad
Sanjay Chainani
Roxanne Fischer
Camilo Toro
James G. White
David Adams
Cornelius Boerkoel
William A. Gahl
Cynthia J. Tifft
Meral Gunay-Aygun
Hans Goeble
Karen Balbach
Nadine Pfeifer
Sandra Werner
Christian Linden
Melissa Haendel
Peter Robinson
Chris Mungall
Sebastian Kohler
Cindy Smith
Nicole Vasilevsky
Sandra Dolken
Elizabeth Lee
Amanda Links
Will Bone
Murat Sincan
Damian Smedley
Jules Jacobson
Nicole Washington
Elise Flynn
Sebastian Kohler
Orion Buske
Marta Girdea
Michael Brudno
Jeremy Band
Melissa Haendel
David Adams
David Draper
Bailey Gallinger
Joie Davis
Nicole Vasilevsky
Heather Trang
Rena Godfrey
Gretchen Golas
Catherine Groden
Michele Nehrebecky
Ariane Soldatos
Elise Valkanas,
Colleen Wahl
Lynne Wolfe
Johannes Grosse
Attila Braun
David Varga-Szabo
Niklas Beyersdorf
Boris Schneider
Lutz Zeitlmann
Petra Hanke
Patricia Schropp
Silke Mühlstedt
Carolin Zorn
Michael Huber
Carolin Schmittwolf
Wolfgang Jagla
Philipp Yu
Thomas Kerkau
Harald Schulze
Michael Nehls
Bernhard Nieswandt
Clinicians/
care team
Pathologists Ontologists Informaticians Curators Basic
Research
The translational workforce:
It takes a village to solve disease
Synergistic Informatics Education
CD2H
Modular, dynamic
training library
Leveraging existing materials
(BD2K, AMIA, ONC etc)
Informatics & data science competencies
Mapping across current competency efforts (AMIA, CTSAs, ISCB, AMSTAT, etc)
Interdisciplinary
collaboration, open science,
& entrepreneurship
Partnerships with CTSA Workforce
Development, AMIA Informatics
Educators and others
Mentoring network
Synergize w NIH, BD2K Data Science
RoAD-Trip, AMIA Mentor Match etc.
“Packaging” of Learning Modules into LMS
Collaboration with N-lighten to get training modules into learning management
systems (LMS)
Module annotations
Improve discovery/reuse
coordinate BD2K erudite, others
Opportunities for CTSA Analytics & Data
CD2H
Optimize dissemination
Dissemination and impact are inherently linked; build on best
practices for a range of outputs
Attribution
Enable an attribution framework for
a range of products & processes
for the translational workforce
Modular, dynamic
evaluation library
Support local hubs in data-driven
CQI through improved data, best
practices for analytics and data viz
Accountability
Facilitate innovative accountability
through open project dashboards
Peer review
Enable consortium-wide peer
review, (NITRO-Competitions)
Collaborative Innovation
Develop a model to support and grow CI across the CTSA Program
Continuing the Conversation
▪ Workgroups & collaborations
▪ Socio-technical communication environments
▪ Listservs, project email, and activities calendar
▪ We would love to come and visit your team!
▪ Interested in learning more? Please fill out the intake
form (bit.ly/cd2h-kickoff) or email us at
data2health@gmail.com
CD2H
@Data2Health
Thank you!
We look forward to working with
you and your teams.
CTSA Program Center for Data to Health
(CD2H)
CD2H

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The CTSA Program Center for Data to Health (CD2H)

  • 1. The CTSA Program Center for Data to Health (CD2H) Program Directors Site PIs CD2H * *haendel@ohsu.edu
  • 2.
  • 4. How do we achieve this? CD2H We collectively have a remarkable opportunity to build upon the excellence of the CTSA Program to innovate, pilot, implement, and sustain new informatics technologies to improve human health
  • 6. Each CTSA is a workbench CD2H 1: Harmonize the data ecosystem 2: Realize a software tool ecosystem 3: Synthesize a people ecosystem 4: Catalyze technical and cultural evolution
  • 7. ✓Goldilocks solutions to data dissonance; development of Good Data Practice (GDP); promotion of software standards for interoperability ✓Apply standards to harmonize and integrate data ✓Improve navigation of the data sharing odyssey Aim 1: Harmonize the data ecosystem CD2H
  • 8. ✓Assemble communities of practice ✓Compile software best practices and standards ✓Configure Synapse Platform for data sharing and provide training ✓Deploy CIELO: a software “storefront” ✓Verify & validate existing/emergent software Aim 2: Realize a software tool ecosystem CD2H
  • 9. ✓Extend representation of expertise and services across the CTSA consortium ✓ Enable discovery of services/ data/tools/ people across the CTSA consortium Aim 3: Synthesize a people ecosystem CD2H
  • 10. Demonstration disease areas: ✓Rare disease and eliminating the diagnostic odyssey ✓Improve the impact of clinical research across the lifespan Aim 4: Catalyze technical & cultural evolution CD2H
  • 11. Thomas Markello Dong Chen Justin Y. Kwan Iren Horkayne-Szakaly Alan Morrison Olga Simakova Irina Maric Jay Lozier Andrew R. Cullinane Tatjana Kilo Lynn Meister Kourosh Pakzad Sanjay Chainani Roxanne Fischer Camilo Toro James G. White David Adams Cornelius Boerkoel William A. Gahl Cynthia J. Tifft Meral Gunay-Aygun Hans Goeble Karen Balbach Nadine Pfeifer Sandra Werner Christian Linden Melissa Haendel Peter Robinson Chris Mungall Sebastian Kohler Cindy Smith Nicole Vasilevsky Sandra Dolken Elizabeth Lee Amanda Links Will Bone Murat Sincan Damian Smedley Jules Jacobson Nicole Washington Elise Flynn Sebastian Kohler Orion Buske Marta Girdea Michael Brudno Jeremy Band Melissa Haendel David Adams David Draper Bailey Gallinger Joie Davis Nicole Vasilevsky Heather Trang Rena Godfrey Gretchen Golas Catherine Groden Michele Nehrebecky Ariane Soldatos Elise Valkanas, Colleen Wahl Lynne Wolfe Johannes Grosse Attila Braun David Varga-Szabo Niklas Beyersdorf Boris Schneider Lutz Zeitlmann Petra Hanke Patricia Schropp Silke Mühlstedt Carolin Zorn Michael Huber Carolin Schmittwolf Wolfgang Jagla Philipp Yu Thomas Kerkau Harald Schulze Michael Nehls Bernhard Nieswandt Clinicians/ care team Pathologists Ontologists Informaticians Curators Basic Research The translational workforce: It takes a village to solve disease
  • 12. Synergistic Informatics Education CD2H Modular, dynamic training library Leveraging existing materials (BD2K, AMIA, ONC etc) Informatics & data science competencies Mapping across current competency efforts (AMIA, CTSAs, ISCB, AMSTAT, etc) Interdisciplinary collaboration, open science, & entrepreneurship Partnerships with CTSA Workforce Development, AMIA Informatics Educators and others Mentoring network Synergize w NIH, BD2K Data Science RoAD-Trip, AMIA Mentor Match etc. “Packaging” of Learning Modules into LMS Collaboration with N-lighten to get training modules into learning management systems (LMS) Module annotations Improve discovery/reuse coordinate BD2K erudite, others
  • 13. Opportunities for CTSA Analytics & Data CD2H Optimize dissemination Dissemination and impact are inherently linked; build on best practices for a range of outputs Attribution Enable an attribution framework for a range of products & processes for the translational workforce Modular, dynamic evaluation library Support local hubs in data-driven CQI through improved data, best practices for analytics and data viz Accountability Facilitate innovative accountability through open project dashboards Peer review Enable consortium-wide peer review, (NITRO-Competitions) Collaborative Innovation Develop a model to support and grow CI across the CTSA Program
  • 14. Continuing the Conversation ▪ Workgroups & collaborations ▪ Socio-technical communication environments ▪ Listservs, project email, and activities calendar ▪ We would love to come and visit your team! ▪ Interested in learning more? Please fill out the intake form (bit.ly/cd2h-kickoff) or email us at data2health@gmail.com CD2H @Data2Health
  • 15. Thank you! We look forward to working with you and your teams. CTSA Program Center for Data to Health (CD2H) CD2H