PhysioNet#
Overview#
PhysioNet is a data sharing platform built and maintained at the Laboratory of Computational Physiology at MIT
Established as an outreach component of a research project in 1999
Rebuilt from scratch in 2019 following “FAIR principles”
>50,000 registered, active users
Supports access control for sensitive data via data use agreements and training
Recommended repository#
PhysioNet is a recommended repository for a number of journals:
Springer Nature
PLOS
eLife
Source: Springer Nature
Access control#
Open data
Restricted:
Data Use Agreement
Credentialed:
Data Use Agreement
Training in human subject research
Identity check
Contributor-managed:
Data Use Agreement
Approval of the contributor
Enhanced discovery#
Structured metadata is distributed to search indexes
Project reuse can be tracked through unique identifiers or DOI’s
Strongly support data objects as research outputs in their own right
Integrated viewers#
Data such as waveforms can be viewed directly in the browser
Cloud integration#
Enables analysis without the need to download files
Diverse, active community#
Regular workshops, challenges, and datathons based around PhysioNet datasets