Abstract
AHA’s PMP has enabled secure delivery of data through agile workspaces that scale with the high-performance compute needs of researchers and allow flexibility in the ready-to-run analysis tools. By listening and partnering with end users, we have overcome many of the hurdles facing researchers today including outdated data governance policies, insufficient data documentation, and inability of cloud-based environments to scale up resources for performance and allow researchers to personalize their workspaces with their own tools and pipelines.
Original language | English (US) |
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Pages (from-to) | E007949 |
Journal | Circulation: Cardiovascular Quality and Outcomes |
Volume | 14 |
Issue number | 9 |
DOIs | |
State | Published - Sep 1 2021 |
Keywords
- clinical study
- computational biology
- database
- machine learning
- registries
ASJC Scopus subject areas
- Cardiology and Cardiovascular Medicine