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

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Recommended repository

• PhysioNet is a recommended repository for a number of journals:

  • Springer Nature

  • PLOS

  • eLife

Source: Springer Nature

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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

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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

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Integrated viewers

• Data such as waveforms can be viewed directly in the browser

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Cloud integration

• Enables analysis without the need to download files

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Diverse, active community

• Regular workshops, challenges, and datathons based around PhysioNet datasets