HEAL Data Ecosystem Events and Outreach
Creating a Community: HEAL Data Ecosystem Virtual Workshop
The NIH HEAL Initiative hosted the “Creating a Community: HEAL Data Ecosystem Virtual Workshop” on April 20, 2021. HEAL-funded investigators and NIH program staff had the opportunity to learn more about the HEAL Data Ecosystem. They also met the awardees (University of Chicago and Renaissance Computing Institute and RTI International), and asked questions during panel discussions. Workshop speakers presented important information to help inform HEAL-funded investigators about central data-related efforts and resources. They also learned how to connect their data to the HEAL Platform. The presenters discussed making data findable and accessible and identified key data-related issues. Watch videos from the workshop:
Part 1: Benefits and Possibilities – Discover how data from current HEAL Initiative programs can serve as a launch pad for future studies, collaborations, and new programs.
Part 2: Data Security – Learn about the HEAL Platform, which is designed to provide the necessary security and compliance to help researchers explore the full breadth of data being generated within the HEAL Initiative.
Part 3: Available Support – Learn about the specialized data management consulting available to HEAL studies to aid in achieving data-sharing objectives in a coordinated and efficient manner.
About the HEAL Data Ecosystem
The HEAL Data Ecosystem aims to transform research data, findings, and publications into a virtual, annotated, searchable catalog in which datasets and findings from different studies can be analyzed, compared, and combined.
Preparing HEAL-Generated Data for Sharing
Learn about the group funded to work with research teams throughout the HEAL Initiative to provide guidance in implementing FAIR data management and sharing practices.
Common Data Elements (CDEs) Program
To facilitate cross-study comparisons and improve the interpretability of findings, clinical pain research grantees collaborate and agree to use common data elements for patient-reported outcomes (PROs).