Open Access and Collaborations

The Open Access and Collaborations track presents case studies on collaborative technologies and methodologies used to aggregate and harmonize data from heterogeneous sources to accelerate translational and clinical research. Speakers will show novel approaches of key drivers, technology innovations, collaboration platforms, open-source frameworks, legal considerations, and other factors that are managing data and empowering transformative changes through translation. Additional themes that will be covered include: emerging security; analytic, semantic capabilities; FAIR data practices and applications; data commons; implications of Europe's Plan S on publishing in the United States; and large collaborative datasets.

Preliminary Agenda

CHALLENGES OF BUILDING A COMMON DATA MODEL ACROSS MANY DISPARATE DATA TYPES

A Common Data Model Proposal to Facilitate and Encourage Data Sharing and Reuse

Kathy Reinold, Principal Data Modeler, Broad Institute of Harvard and MIT

OPEN SOURCE PLATFORMS FOR BUILDING DATA COMMONS

Facilitating Cooperative Data Science in the Cloud with the Gen3 Platform for Creating Data Commons

Christopher Meyer, PhD, Scientific Support Analyst, Center for Translational Data Science (CTDS), University of Chicago

Our Experience As the First External Organization To Build a Gen3 Data Commons

William Van Etten, PhD, Senior Scientific Consultant & Founding Partner, BioTeam

Silo Breaking With Gen3: Improving the Culture of Data Sharing By Leveraging a Data Commons Approach Within a Global Pharmaceutical Company

Daniel Huston, Lead IT Business Partner, Translational Bioinformatics IT for Translational Medicine, BMS

Gabriella Miller Kids First Data Resource Center: Collaborative Platforms for Accelerating Cross-disease Pediatric Research Across Development and Cancer

Allison Heath, PhD, Director, Data Technology and Innovation, Center for Data-Driven Discovery in Biomedicine (D3b), Children's Hospital of Philadelphia

DATA ECOSYSTEM TO ACCELERATE DATA DISCOVERY AND SHARING FOR BIOMEDICAL RESEARCH

Cascadia Data Discovery Initiative: Accelerating Health Innovation and Cancer Research Through Collaboration, Data Sharing, and Data-driven Research

Matthew Trunnell, Vice President and Chief Data Officer, Fred Hutchinson Cancer Research Center


Platinum Sponsors

accenture

BenchlingNEW

Elsevier-square

L7-informatics

linguamatics

PerkinElmer

Weka