3D Preservation Models and Modalities: Advancing Research Reproducibility and Capacity at Virginia Tech

Abstract

This paper presents findings from a multi-method study in archiving, accessing, and preserving 3D data. Specifically, we seek to develop a reusable and robust model for preserving and accessing 3D data. We further seek to identify links between digital triage, preservation actions, and archiving in multiple disciplines in order to make recommendations to embed data stewardship processes in research ecosystems. This work happens through interdisciplinary collaboration to validate curation practices across fields and disciplines. Numerous disciplines and sectors are producing 3D data for research and instruction, but without the guidance of published standards or practices generalizable across fields. This paper will present our findings from identifying researcher needs, preservation and access requirements, and metadata models for our 3D models of specimens from the Virginia Tech Entomology Department. Our outcomes are an evaluation of the output using quantitative and qualitative methods, a working 3D metadata schema for access and preservation, and an access platform for our 3D models.

Details

Creators

Alex Kinnaman; Maureen Saverot; Yinlin Chen; Kara Long; Nicholas Polys; Sterling Nesbit; Michelle Stocker; Shuhai Xiao; Nathan Hall

Institutions

Virginia Tech

Date

Keywords

digital preservation; 3d curation; 3d access; 3d metadata; 3d modeling

Publication Type

paper

License

CC BY 4.0 International

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