Buckser, Rae R.
(2022)
A Hitchhiker’s Guide to OpenNeuro:
Secondary Analysis on the Web’s Largest Repository of Open Neuroimaging Data.
Master's Thesis, University of Pittsburgh.
(Unpublished)
This is the latest version of this item.
Abstract
Functional MRI (fMRI) is a foundational tool of cognitive neuroscience, but logistical constraints shut many researchers out of data collection. Secondary analysis of open data is a way for researchers to develop novel fMRI analysis methods, ask original questions, and contribute to the neuroimaging literature without collecting new data. To date, much of the documentation and guidance available for working with open neuroimaging data has focused on replication or on secondary analysis of large datasets. There is a lack of concrete, helpful material available for research groups who wish to enable secondary analysis by sharing smaller-scale datasets, or for researchers who wish to use smaller open datasets for their own projects. This document attempts to bridge this gap by offering examples, general recommendations, and concrete guidelines for users and sharers on OpenNeuro, the largest online data repository exclusive to neuroimaging. For users, important considerations include carefully planning analyses and checking preliminary results before committing to downloading and analyzing a dataset. For sharers, important considerations include looking at documentation and supplemental files from a user’s point of view. The accompanying appendices offer checklists designed to walk researchers through the process of uploading data to share or using OpenNeuro data in four basic fMRI analysis tasks. Using and sharing open neuroimaging data represents an investment in a field that has become more collaborative than ever before. The guidance and perspective offered should help users and sharers to make a productive start at navigating the open data landscape with OpenNeuro.
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Details
| Item Type: |
University of Pittsburgh ETD
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| Status: |
Unpublished |
| Creators/Authors: |
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| ETD Committee: |
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| Date: |
21 March 2022 |
| Date Type: |
Publication |
| Defense Date: |
1 December 2021 |
| Approval Date: |
21 March 2022 |
| Submission Date: |
10 January 2022 |
| Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
| Number of Pages: |
104 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
Dietrich School of Arts and Sciences > Psychology |
| Degree: |
MS - Master of Science |
| Thesis Type: |
Master's Thesis |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
functional MRI; fMRI; open neuroimaging; open data; data-sharing; functional neuroimaging; guidance; data sharing checklist; functional neuroimaging; neuroimaging; data; big data; data repositories; datasets; fMRI methods; open science |
| Date Deposited: |
21 Mar 2022 17:12 |
| Last Modified: |
21 Mar 2022 17:12 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/42175 |
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