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URL: https://nipoppy.readthedocs.io/en/stable/
Proper Citation: NiPoppy (RRID:SCR_027826)
Description: Software lightweight Python framework and command-line tool for organizing, processing, and managing neuroimaging-clinical datasets, designed to make studies more reproducible and adhere to FAIR data principles (Findable, Accessible, Interoperable, Reusable). Provides standardized workflow to handle raw data (like DICOMs), apply containerized processing pipelines (e.g., fMRIPrep), extract analysis-ready features (IDPs), and track processing status, extending the Brain Imaging Data Structure (BIDS) standard for both imaging and clinical data. Includes three components: protocol for data wrangling to standardize generation of analysis-ready datasets; specification for dataset organization that extends the Brain Imaging Data Structure (BIDS) standard; command-line interface and Python package that provide user-friendly tools for applying the framework.
Resource Type: source code, software application, software resource, web application
Keywords: Neuroimaging, FAIR principles, Brain Imaging Data Structure (BIDS) standard, dataset organization, data standardized organization and processing, neuroimaging-clinical datasets,
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