A FAIR narrative on open science: when, who, what and how of computed tomography and the NoCTURN network

Abstract Open science, the practice of making research products and processes free and available to scientists and non-scientists alike, is transforming image-based studies using non-clinical computed tomography (CT). Recently, the National Science Foundation has established research coordination networks to help address principles of findability, accessibility, interoperability and reusability (FAIR) within the United States (US) scientific enterprise and in partnership with the global community. The Non-Clinical Tomography Users Research Network (NoCTURN) is one such organization, focused on CT data accessibility and reuse, helping to address significant obstacles related to bespoke hardware, proprietary software and siloed workflows. NoCTURN strives to develop and maintain linkages across CT ecosystems capable of driving cultural and technological changes. To that end, we discuss the last two decades of FAIR principles (when) and present our recommendations for CT data access by focusing on a survey of predominantly US CT users (who), the definition and role of metadata schemas (what), and the broad use of persistent identifiers (how).

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Publication Details

Journal
Royal Society Open Science
Published
2025-12-01
DOI
https://doi.org/10.1098/rsos.251691
Primary Topic
Research Data Management Practices
Type
article
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article

A FAIR narrative on open science: when, who, what and how of computed tomography and the NoCTURN network

Leigha M. Lynch, Morgan Chase, Alexander S. Hall, Richard Johnston et al.
Royal Society Open Science
Research Data Management Practices
article

A FAIR narrative on open science: when, who, what and how of computed tomography and the NoCTURN network

Leigha M. Lynch, Morgan Chase, Alexander S. Hall, Richard Johnston, Kelsi Hurdle, Paul M. Gignac, Heather F. Smith, Freya Goetz, Jennifer J. Hill, Elizabeth Martin‐Silverstone, Jaimi A. Gray, John J. Jacisin, Callie H. Crawford, Christopher M. Zobek
article en

Abstract

Abstract Open science, the practice of making research products and processes free and available to scientists and non-scientists alike, is transforming image-based studies using non-clinical computed tomography (CT). Recently, the National Science Foundation has established research coordination networks to help address principles of findability, accessibility, interoperability and reusability (FAIR) within the United States (US) scientific enterprise and in partnership with the global community. The Non-Clinical Tomography Users Research Network (NoCTURN) is one such organization, focused on CT data accessibility and reuse, helping to address significant obstacles related to bespoke hardware, proprietary software and siloed workflows. NoCTURN strives to develop and maintain linkages across CT ecosystems capable of driving cultural and technological changes. To that end, we discuss the last two decades of FAIR principles (when) and present our recommendations for CT data access by focusing on a survey of predominantly US CT users (who), the definition and role of metadata schemas (what), and the broad use of persistent identifiers (how).

Royal Society Open ScienceVol. 12(12)
University of Southern California (US), Midwestern University (US), National Museum of American History (US), University of Wisconsin–Green Bay (US), American Museum of Natural History (US), National Museum of Natural History (US), University of Arizona (US), Ofcom (GB), Coastal Carolina University (US), California Southern University (US), Dryad Digital Repository (US), University of Bristol (GB), Swansea University (GB), A*STAR-NUS Clinical Imaging Research Centre (SG), Thermo Fisher Scientific (United States) (US), Imaging Center (US), Thermo Fisher Scientific (Israel) (IL), University of Missouri (US), The University of Texas at Austin (US), Southern States University (US)
Openalex Percentile: Top 47%
Research Data Management Practices
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