Challenges and Directions in 3D and VR DataCuration: Findings from a Nominal Group Study

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dc.contributor.authorHall, Nathanen
dc.contributor.authorHardesty, Julieten
dc.contributor.authorLischer-Katz, Zacken
dc.contributor.authorJohnson, Jenniferen
dc.contributor.authorCook, Matten
dc.contributor.authorOgier, Andreaen
dc.contributor.authorMcDonald, Robert H.en
dc.date.accessioned2020-05-28T02:24:47Zen
dc.date.available2020-05-28T02:24:47Zen
dc.date.issued2019-09-12en
dc.date.updated2020-05-28T02:24:42Zen
dc.description.abstractThis study identifies challenges and promising directions in the curation of 3D data. 3D visualization shows great promise for a range of scholarly fields through interactive engagement with and analysis of spatially complex artifacts, spaces, and data. While the new affordability of emerging 3D capture technologies presents greater academic possibilities, academic libraries need more effective workflows, policies, standards, and practices to ensure that they can support the creation, discovery, access, preservation, and reproducibility of 3D data sets. This study uses nominal group technique with invited experts across several disciplines and sectors to identify common challenges in the creation and re-use of 3D data for the purpose of developing library strategy for supporting curation of 3D data. This article identifies staffing needs for 3D imaging; alignment with IT resources; the role of archivists in addressing unique challenges posed by these datasets; the importance of data annotation, metadata, and transparency for research integrity and reproducibility; and features for storage, access, and management to facilitate re-use by researchers and educators. Participants identified three main challenges for supporting 3D data that align with the strengths of libraries: 1) development of crosswalks and aggregation tools for discipline-specific metadata models, data dictionaries for 3D research, and aggregation tools for expanding discovery; 2) development of an open source viewer that supports streaming and annotation on archival formats of 3D models and makes archival master files accessible, while also serving derivative files based on user requirements; and 3) widespread of adoption of better documentation and technical metadata for image capture and modeling processes in order to support replicability of research, reproducibility of models, and transparency of scientific process.en
dc.description.versionPublished (Publication status)en
dc.format.extentPages 150-167en
dc.format.extent18 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.2218/ijdc.v14i1.588en
dc.identifier.issn1746-8256en
dc.identifier.issue1en
dc.identifier.orcidHall, Nathan [0000-0002-0676-9916]en
dc.identifier.urihttp://hdl.handle.net/10919/98568en
dc.identifier.volume14en
dc.language.isoenen
dc.publisherInternational Journal of Data Curationen
dc.relation.urihttp://ijdc.net/en
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subject0807 Library and Information Studiesen
dc.subject2102 Curatorial and Related Studiesen
dc.titleChallenges and Directions in 3D and VR DataCuration: Findings from a Nominal Group Studyen
dc.title.serialInternational Journal of Data Curationen
dc.typeArticle - Refereeden
dc.type.otherArticleen
dcterms.dateAccepted2019-09-12en
pubs.organisational-group/Virginia Tech/Libraryen
pubs.organisational-group/Virginia Tech/Library/Information Technologyen
pubs.organisational-group/Virginia Tech/Library/Information Technology/Digital Imaging and Preservationen
pubs.organisational-group/Virginia Techen

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