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Neuroimaging Data Primer: A Resource for Curating Digital Imaging and Communications in Medicine (DICOM) and Neuroimaging Informatics Technology Initiative (NIfTI) Files

dc.contributor.authorSamuel, Sara
dc.contributor.authorMoore, Michael
dc.contributor.authorPatterson, Brandon
dc.contributor.authorSheridan, Helenmary
dc.contributor.authorSorensen, Chris
dc.date.accessioned2023-08-02T13:50:22Z
dc.date.available2023-08-02T13:50:22Z
dc.date.issued2020-07-24
dc.identifier.urihttps://hdl.handle.net/2027.42/177441en
dc.description.abstractBackground: 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.mden_US
dc.description.sponsorshipData Curation Network (DCN)en_US
dc.language.isoen_USen_US
dc.publisherMedical Library Association (MLA)en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectdata curationen_US
dc.subjectneuroimagingen_US
dc.subjectfMRIen_US
dc.subjectBrain Imaging Data Structure (BIDS)en_US
dc.subjectNIfTIen_US
dc.subjectDICOMen_US
dc.titleNeuroimaging Data Primer: A Resource for Curating Digital Imaging and Communications in Medicine (DICOM) and Neuroimaging Informatics Technology Initiative (NIfTI) Filesen_US
dc.typePosteren_US
dc.subject.hlbsecondlevelInformation and Library Science
dc.subject.hlbtoplevelSocial Sciences
dc.contributor.affiliationumLibrary, University of Michiganen_US
dc.contributor.affiliationotherUniversity of Washingtonen_US
dc.contributor.affiliationotherUniversity of Utahen_US
dc.contributor.affiliationotherUniversity of Pittsburghen_US
dc.contributor.affiliationotherWashington University in St. Louisen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/177441/1/MLAPoster_NeuroimagingDataPrimer_QRcode.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/7995
dc.identifier.sourceMedical Library Association ’20 vConferenceen_US
dc.description.mapping-1en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-6808-2514en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-6422-9988en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-2328-6465en_US
dc.identifier.orcidhttps://orcid.org/0000-0003-1646-8399en_US
dc.description.filedescriptionDescription of MLAPoster_NeuroimagingDataPrimer_QRcode.pdf : PDF of the poster that was shared digitally at the Medical Library Association vConference in 2020
dc.description.depositorSELFen_US
dc.identifier.name-orcidSamuel, Sara; 0000-0001-6808-2514en_US
dc.identifier.name-orcidMoore, Michael Thomas; 0000-0001-6422-9988en_US
dc.identifier.name-orcidSheridan, Helenmary; 0000-0002-2328-6465en_US
dc.identifier.name-orcidSorensen, Christopher; 0000-0003-1646-8399en_US
dc.working.doi10.7302/7995en_US
dc.owningcollnameLibrary (University of Michigan Library)


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