Bug 2386481

Summary: Review Request: bidscoin - Converts and organises raw MRI data-sets according to BIDS
Product: [Fedora] Fedora Reporter: Ben Beasley <code>
Component: Package ReviewAssignee: Nobody's working on this, feel free to take it <nobody>
Status: NEW --- QA Contact: Fedora Extras Quality Assurance <extras-qa>
Severity: medium Docs Contact:
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Version: rawhideCC: package-review
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Description Ben Beasley 2025-08-05 03:57:49 UTC
Spec URL: https://music.fedorapeople.org/bidscoin.spec
SRPM URL: https://music.fedorapeople.org/bidscoin-4.6.2-1.fc42.src.rpm

Description:

BIDScoin is a user-friendly Python application suite that converts (“coins”)
source-level (raw) neuroimaging data sets to standardized data sets that are
organized according to the Brain Imaging Data Structure (BIDS) specification.
Rather than depending on complex programmatic logic for source data-type
identification, BIDScoin uses a mapping approach to discover the different
source data types in your repository and convert them into BIDS data types.
Different runs of source data are uniquely identified by their file system
properties (e.g. file name or size) and by their attributes (e.g. ProtocolName
from the DICOM header). Mapping information can be pre-specified (e.g. per
site), allowing BIDScoin to make intelligent first suggestions on how to
classify and convert the data. While this command-line procedure exploits all
information available on disk, BIDScoin offers a Graphical User Interface (GUI)
for researchers to check and edit these mappings -- bringing in the missing
knowledge that often exists in their heads only. This interactive step can also
be skipped for employment in fully automated dataflow pipelines.

BIDScoin requires no programming knowledge in order to use it, but users can
use regular expressions and plug-ins to further enhance BIDScoin's power and
flexibility, and readily handle a wide variety of source data types.

Fedora Account System Username: music

This will be a neuro-sig package; it would close https://pagure.io/neuro-sig/NeuroFedora/issue/500.