Biorepository Committee

The HeartShare Biorepository Committee develops policies for use of biosamples collected in the HeartShare Deep Phenotyping Study, and evaluates ancillary studies proposing to use HeartShare biosamples.

Data Portal Committee

The HeartShare Data Portal Committee is the forum for design and implementation of workflows and interrelated platforms for integrating the diverse datasets and data resources applicable to HeartShare. Working closely with informatics and data science professionals across the consortium and with the Deep Phenotyping Committee, the Data Portal Committee ensures that the processes for acquiring and integrating data –such as cohort, clinical trial, multi-omics, EHR, research testing, biomarkers, and imaging data –are sound, secure, effective, and adherent with the research protocols of HeartShare.

Deep Phenotyping Committee

The HeartShare Deep Phenotyping Committee is tasked with the design and development of the deep phenotyping protocol for HeartShare. This committee has at least one representative from each of the clinical centers and works collaboratively to ensure HeartShare captures data that will be integral to furthering HFpEF research. The Deep Phenotyping Protocol Committee works with the Data Portal Committee to ensure all data is captured and to plan how data will be integrated across HeartShare.

Extant Datasets Committee

The HeartShare Extant Dataset Committee determines which existing studies to include in HeartShare and works on developing analyses for the data between these studies. The Extant Datasets committee also interfaces with the various coordinating centers of these existing studies and applies for access to data and images from these studies.

Publications and Ancillary Studies Committee

The HeartShare Publications and Ancillary Studies (PAS) Committee has the following goals:
• To encourage publication submissions – particularly collaborative works involving multiple HeartShare sites.
• To ensure and expedite orderly and timely presentations to the scientific community of all pertinent data resulting from HeartShare studies.
• To ensure scientifically accurate presentations and papers from HeartShare investigators.
• To maintain a complete up-to-date list of HeartShare presentations and publications, and to distribute such lists to all HeartShare investigators on a regular basis.
• To support submission of Ancillary Studies that are aligned with HeartShare objectives for extramural funding

Machine Learning/AI Committee

The Machine Learning/AI Committee develops new tools and/or implement existing tools on HeartShare data and images. The committee also helps plan the methods for analyzing the deep phenotyping data collected prospectively.

Multi-omics Committee

The Multi-omics Committee develops methods for multi-omics analyses, and works closely with TOPMed to conduct these studies (e.g., paper proposals in TOPMed, analytic plans for HeartShare, etc)

Research Skills Committee

The Research Skills Committee will oversee the training program component of HeartShare, including the structure of the training program, curriculum, syllabus, application process, selection of trainees, and evaluation of trainees.