Neuroimaging Data Primer: A Resource for Curating Digital Imaging and Communications in Medicine (DICOM) and Neuroimaging Informatics Technology Initiative (NIfTI) Files
dc.contributor.author | Samuel, Sara | |
dc.contributor.author | Moore, Michael | |
dc.contributor.author | Patterson, Brandon | |
dc.contributor.author | Sheridan, Helenmary | |
dc.contributor.author | Sorensen, Chris | |
dc.date.accessioned | 2023-08-02T13:50:22Z | |
dc.date.available | 2023-08-02T13:50:22Z | |
dc.date.issued | 2020-07-24 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/177441 | en |
dc.description.abstract | Background: Academic libraries play a foundational role in supporting and developing open research practices by providing curatorial support and hosting for research data sets, including those from biomedical research. The Data Curation Network is a network of data curators designed to provide a wider variety of curation services than offered at a single institution. Our team formed during a November 2019 workshop offered by the Data Curation Network, and for our final project we decided to create a primer that will help data specialists curate neuroimaging files. Description: Following internal discussions and scoping, our team conducted interviews with researchers who work directly with medical imaging to better identify workflows, common file formats, and core concepts to include in the primer. Based on those findings, we decided to focus our primer on fMRI (Functional Magnetic Resonance Imaging) data that has been saved in DICOM (Digital Imaging and Communications in Medicine) and NIfTI (Neuroimaging Informatics Technology Initiative) formats. Team members supplemented researcher feedback with literature reviews and online resources to establish the primer’s informational foundation. The primer provides a succinct but thorough introduction to the two file formats, giving a data specialist enough information to successfully ready a set of files for deposit into a data archive. Topics covered include file structure and common extensions, the Brain Imaging Data Structure (BIDS), and patient privacy and confidentiality concerns. Conclusion: The primer underwent peer review in early Spring 2020 by other cohorts from DCN workshops, and feedback was incorporated by the project team. The open access primer will be deposited into an institutional repository and made openly available for anyone to download and refer to when curating neuroimaging data. All DCN primers are designed to be living documents that can be updated and tweaked by other data curators. To support future collaborative editing and maintain versioning control, the primer is shared on DCN’s GitHub alongside other data curation primers, where it can be updated as needed. Neuroimaging DICOM & NIfTI Primer on GitHub: https://github.com/DataCurationNetwork/data-primers/blob/master/Neuroimaging%20DICOM%20and%20NIfTI%20Data%20Curation%20Primer/neuroimaging-dicom-and-nifti-data-curation-primer.md | en_US |
dc.description.sponsorship | Data Curation Network (DCN) | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Medical Library Association (MLA) | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | data curation | en_US |
dc.subject | neuroimaging | en_US |
dc.subject | fMRI | en_US |
dc.subject | Brain Imaging Data Structure (BIDS) | en_US |
dc.subject | NIfTI | en_US |
dc.subject | DICOM | en_US |
dc.title | Neuroimaging Data Primer: A Resource for Curating Digital Imaging and Communications in Medicine (DICOM) and Neuroimaging Informatics Technology Initiative (NIfTI) Files | en_US |
dc.type | Poster | en_US |
dc.subject.hlbsecondlevel | Information and Library Science | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.contributor.affiliationum | Library, University of Michigan | en_US |
dc.contributor.affiliationother | University of Washington | en_US |
dc.contributor.affiliationother | University of Utah | en_US |
dc.contributor.affiliationother | University of Pittsburgh | en_US |
dc.contributor.affiliationother | Washington University in St. Louis | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/177441/1/MLAPoster_NeuroimagingDataPrimer_QRcode.pdf | |
dc.identifier.doi | https://dx.doi.org/10.7302/7995 | |
dc.identifier.source | Medical Library Association ’20 vConference | en_US |
dc.description.mapping | -1 | en_US |
dc.identifier.orcid | https://orcid.org/0000-0001-6808-2514 | en_US |
dc.identifier.orcid | https://orcid.org/0000-0001-6422-9988 | en_US |
dc.identifier.orcid | https://orcid.org/0000-0002-2328-6465 | en_US |
dc.identifier.orcid | https://orcid.org/0000-0003-1646-8399 | en_US |
dc.description.filedescription | Description of MLAPoster_NeuroimagingDataPrimer_QRcode.pdf : PDF of the poster that was shared digitally at the Medical Library Association vConference in 2020 | |
dc.description.depositor | SELF | en_US |
dc.identifier.name-orcid | Samuel, Sara; 0000-0001-6808-2514 | en_US |
dc.identifier.name-orcid | Moore, Michael Thomas; 0000-0001-6422-9988 | en_US |
dc.identifier.name-orcid | Sheridan, Helenmary; 0000-0002-2328-6465 | en_US |
dc.identifier.name-orcid | Sorensen, Christopher; 0000-0003-1646-8399 | en_US |
dc.working.doi | 10.7302/7995 | en_US |
dc.owningcollname | Library (University of Michigan Library) |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.