Figshare Data Sharing User Story: Mapping the Brain's Highways
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| Format: | Recurso digital |
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2026
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| _version_ | 1866901872255696896 |
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| author | Curtin, Lisa |
| author_facet | Curtin, Lisa |
| contents | <p>User story showcasing a real-world researcher's experience with data sharing in the Figshare repository.<br><br>This article highlights John Kruper, a PhD candidate in the Neuroinformatics R&D Group at the University of Washington, and his innovative approach to open data sharing in neuroimaging. Kruper utilizes a dual-platform strategy, hosting the pyAFQ software code on GitHub and its required datasets on Figshare. This setup automates the processing of diffusion MRI data to map the brain's white matter "highways".<br><br>By providing automated, seamless access to necessary regions of interest, the software pipeline ensures efficiency and reproducibility for researchers. Demonstrating massive community impact, the dataset averages over 40,000 monthly downloads and has accumulated over 1.4 million downloads in total. Ultimately, the story emphasizes the critical role of stable open-access repositories and clear, permissive licensing in advancing automated scientific discovery and widespread data reuse.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19052410 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Figshare Data Sharing User Story: Mapping the Brain's Highways Curtin, Lisa Real World User Story Figshare Data Sharing Neuroimaging Diffusion MRI (dMRI) Brain Tractometry <p>User story showcasing a real-world researcher's experience with data sharing in the Figshare repository.<br><br>This article highlights John Kruper, a PhD candidate in the Neuroinformatics R&D Group at the University of Washington, and his innovative approach to open data sharing in neuroimaging. Kruper utilizes a dual-platform strategy, hosting the pyAFQ software code on GitHub and its required datasets on Figshare. This setup automates the processing of diffusion MRI data to map the brain's white matter "highways".<br><br>By providing automated, seamless access to necessary regions of interest, the software pipeline ensures efficiency and reproducibility for researchers. Demonstrating massive community impact, the dataset averages over 40,000 monthly downloads and has accumulated over 1.4 million downloads in total. Ultimately, the story emphasizes the critical role of stable open-access repositories and clear, permissive licensing in advancing automated scientific discovery and widespread data reuse.</p> |
| title | Figshare Data Sharing User Story: Mapping the Brain's Highways |
| topic | Real World User Story Figshare Data Sharing Neuroimaging Diffusion MRI (dMRI) Brain Tractometry |
| url | https://doi.org/10.5281/zenodo.19052410 |