Evidence map›Paper›PMID 41261152›Full record

ArticleScientific data2025

Pennsieve: A Collaborative Platform for Translational Neuroscience and Beyond.

Zack Goldblum, Zhongchuan Xu, Haoer Shi, Patryk Orzechowski, Jamaal Spence, Kathryn A Davis, Brian Litt, Nishant Sinha, Joost Wagenaar

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Zack GoldblumCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, US.ORCID 0000-0003-2803-7051
Zhongchuan XuCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, US.
Haoer ShiCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, US.
Patryk OrzechowskiDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, US.
Jamaal SpenceCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, US.ORCID 0009-0000-5473-9167
Kathryn A DavisCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, US.ORCID 0000-0002-7020-6480
Brian LittCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, US.
Nishant SinhaCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, US.
Joost WagenaarCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, US. joostw@seas.upenn.edu.ORCID 0000-0003-0837-7120

Funding

Penn integrated Human Pancreas procurement and Analysis ProgramUC4DK112217 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI BETTS, MICHAEL R, FELDMAN, MICHAEL D · 2016 to 2020
$17.8M
Pennsieve: A scalable and sustainable platform for scientific data integration and analysisOT3OD025347 · OD · UNIVERSITY OF PENNSYLVANIA · PI WAGENAAR, JOOST B · 2017 to 2024
$15.4M
Meaningful data integration, visualization and distribution for Human Pain Associated Genes & Cells DatasetsU24NS135547 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Peter John Hunter, MARYANN E MARTONE · 2023 to 2026
$5.9M
The International epilepsy electrophysiology databaseU24NS063930 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI LITT, BRIAN · 2010 to 2014
$5.6M
Biomarkers to Predict Outcome from Responsive Brain Stimulation for EpilepsyR61NS125568 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI DAVIS, KATHRYN ADAMIAK · 2023 to 2025
$3.6M
Optimized Intracranial EEG Targeting in Focal Epilepsy based upon Neuroimaging ConnectomicsR01NS116504 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI DAVIS, KATHRYN ADAMIAK · 2021 to 2025
$3.3M
Guiding epilepsy surgery using network models and Stereo EEGR01NS125137 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH, LITT, BRIAN · 2022 to 2025
$2.8M
Pennsieve: Impactful Multimodal Data Sharing for Epilepsy ResearchU24NS134536 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Joost B Wagenaar · 2024 to 2026
$2.6M
The Blackfynn Platform for Rapid Data Integration and CollaborationR44DA044929 · NIDA · BLACKFYNN, INC. · PI CHRISTINI, AMANDA · 2017 to 2018
$1.3M
Developing Cloud-based tools for Big Neural DataK01ES025436 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI WAGENAAR, JOOST B · 2014 to 2015
$384k
Scalable methods to quantify epileptic network and guide epilepsy surgeryK99NS138680 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SINHA, NISHANT · 2024 to 2025
$298k
NIDA NIH HHS R44 DA044929NIDDK NIH HHS UC4 DK112217NIEHS NIH HHS K01 ES025436NIH HHS OT3 OD025347NINDS NIH HHS K99 NS138680NINDS NIH HHS R01 NS116504NINDS NIH HHS R01 NS125137NINDS NIH HHS R61 NS125568NINDS NIH HHS U24 NS063930NINDS NIH HHS U24 NS134536NINDS NIH HHS U24 NS135547United States Department of Defense | Defense Advanced Research Projects Agency (DARPA) DARPA-BAA-15-35United States Department of Defense | Defense Advanced Research Projects Agency (DARPA) DARPA-D2-1801U.S. Department of Defense (United States Department of Defense) W81XWH2210593U.S. Department of Health & Human Services | National Institutes of Health (NIH) 1U24NS134536U.S. Department of Health & Human Services | National Institutes of Health (NIH) 1U24NS135547U.S. Department of Health & Human Services | National Institutes of Health (NIH) K01ES025436U.S. Department of Health & Human Services | National Institutes of Health (NIH) K99NS138680U.S. Department of Health & Human Services | National Institutes of Health (NIH) OT3OD025347U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01NS116504U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01NS125137U.S. Department of Health & Human Services | National Institutes of Health (NIH) R44DA044929U.S. Department of Health & Human Services | National Institutes of Health (NIH) U24NS063930U.S. Department of Health & Human Services | National Institutes of Health (NIH) UC4DK112217
6 · The paper itself

Abstract

The exponential growth of neuroscientific data necessitates platforms for data management and multidisciplinary collaboration. In this paper, we introduce Pennsieve, an open-source, cloud-based scientific data management platform that supports findable, accessible, interoperable, and reusable (FAIR) data sharing. It has integrated tools for data visualization, processing, and peer-reviewed data publishing that promote collaborative research and high-quality datasets optimized for downstream analysis, both in the cloud and on-premises. Pennsieve welcomes data submissions from individual investigators and small labs through entire consortia. It already serves more than 80 research groups worldwide and forms the core for several large-scale, interinstitutional projects and major government neuroscience research programs. Pennsieve stores over 125 TB of scientific data, with 35 TB of data publicly available in more than 350 high-impact datasets. By facilitating scientific data management, discovery, and analysis, Pennsieve fosters a robust and collaborative research ecosystem for neuroscience and beyond.

Indexed as

Information DisseminationNeurosciencesTranslational Research, BiomedicalCloud ComputingCooperative BehaviorData ManagementHumans

Identifiers

PMID41261152
PMCPMC12630885

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.