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

How to cite this Dataset

Williams, Brendan, Hedger, Nicholas, McNabb, Carolyn and Rossetti, Gabriella (2023): Inter-rater reliability of functional MRI data quality control assessments dataset. University of Reading. Dataset. https://doi.org/10.17864/1947.000424

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