University of Reading Research Data Archive

Inter-rater reliability of functional MRI data quality control assessments dataset

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Description

This dataset contains rating information from four raters who reviewed the quality of functional magnetic resonance imaging (fMRI) datasets. These data were task-based and resting state fMRI data that were included in part of the fMRI Open QC Project [1], which aimed to showcase examples of QC practices across institutions and to foster discussions within the field.

Raters made quality control decisions based on output generated by the python package, pyfMRIqc [2], which generates user friendly reports to aid decision making on the quality of fMRI data. Raters classified data using one of the three following criteria: Include, Uncertain, Exclude, based on guidance provided by a protocol included in the publication. Raters also provided notes describing their decision making for uncertain or exclude cases. A summary of the majority decision of all four raters is also included in this dataset for each subject.

The reports generated by pyfMRIqc can be found externally on GitHub [3].

Resource Type: Dataset
Creators: Williams, Brendan ORCID logoORCID: https://orcid.org/0000-0003-3844-3117, Hedger, Nicholas ORCID logoORCID: https://orcid.org/0000-0002-2733-1913, McNabb, Carolyn ORCID logoORCID: https://orcid.org/0000-0002-6434-5177 and Rossetti, Gabriella ORCID logoORCID: https://orcid.org/0000-0002-9610-6066
Rights-holders: University of Reading, Cardiff University
Data Publisher: University of Reading
Publication Year: 2023
Data last accessed: 18 February 2024
DOI: https://doi.org/10.17864/1947.000424
Metadata Record URL: https://researchdata.reading.ac.uk/id/eprint/424
Organisational units: Life Sciences > School of Psychology and Clinical Language Sciences
Interdisciplinary Research Centres (IDRCs) > Centre for Integrative Neuroscience and Neurodynamics (CINN)
Participating Organisations: University of Reading, Cardiff University
Keywords: fMRI, quality control, inter-rater reliability
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