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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: software application, software resource, source code, web application
Keywords: Neuroimaging, FAIR principles, Brain Imaging Data Structure (BIDS) standard, dataset organization, data standardized organization and processing, neuroimaging-clinical datasets,
Availability: Free, Available for download, Freely available
Resource Name: NiPoppy
Resource ID: SCR_027826
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
