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Pennsieve: A Collaborative Platform for Translational Neuroscience and Beyond.
Zack Goldblum1,2, Zhongchuan Xu1,2, Haoer Shi1,2
1Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, US.
Scientific Data
|November 19, 2025
Summary
Pennsieve is an open-source platform enhancing neuroscience research through FAIR data sharing and collaboration. It provides tools for data management, visualization, and publishing, supporting over 80 research groups globally.
Area of Science:
- Neuroscience
- Bioinformatics
- Data Science
Background:
- Exponential growth in neuroscientific data requires robust management and collaboration solutions.
- Existing platforms may not fully support findable, accessible, interoperable, and reusable (FAIR) data principles.
Purpose of the Study:
- Introduce Pennsieve, an open-source, cloud-based platform for scientific data management and collaboration.
- Facilitate FAIR data sharing to promote reproducible and high-quality neuroscience research.
Main Methods:
- Developed an integrated platform with tools for data visualization, processing, and peer-reviewed publishing.
- Designed for both cloud and on-premises deployment, accommodating diverse research needs.
- Supports data submissions from individual researchers to large consortia.
Main Results:
- Pennsieve serves over 80 research groups worldwide and is central to major neuroscience projects.
- Stores over 125 TB of scientific data, with 35 TB publicly available across 350+ datasets.
- Demonstrates successful facilitation of data management, discovery, and analysis.
Conclusions:
- Pennsieve fosters a collaborative research ecosystem for neuroscience and related fields.
- The platform enhances data accessibility and usability, accelerating scientific discovery.
- Promotes adherence to FAIR data principles for improved research integrity and impact.
