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Virtual reality (VR) is a rich visualization and analytic platform that furthers the library’s mission of providing access to all forms of information and supporting pedagogy and scholarship across disciplines. Academic libraries are increasingly adopting VR technology for a variety of research and teaching purposes, which include providing enhanced access to digital collections, offering new research tools, and constructing new immersive learning environments for students. This trend suggests that positive technological innovation is flourishing in libraries, but there remains a lack of clear guidance in the library community on how to introduce these technologies in effective ways and make them sustainable within different types of institutions. In June 2018, the University of Oklahoma hosted the second of three forums on the use of 3D and VR for visualization and analysis in academic libraries, as part of the project Developing Library Strategy for 3D and Virtual Reality Collection Development and Reuse(LIB3DVR), funded by a grant from the Institute of Museum and Library Services. This qualitative study invited experts from a range of disciplines and sectors to identify common challenges in the visualization and analysis of 3D data, and the management of VR programs, for the purpose of developing a national library strategy. Published (Publication status)

This 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. Published (Publication status)

These are the preliminary and full proposals for an IMLS grant to develop a white paper (to be added here in late 2018) to host three national forums of invited experts to support library adoption of 3D and virtual reality (VR) services. The forums were hosted by Virginia Tech University Libraries, Indiana University Libraries, and the University of Oklahoma Libraries. Each forum covered a different 3D and VR theme: content creation and publishing, visualization and analysis, and repository practice and standards. Lower costs and greater computational power have made 3D and VR technologies financially realistic for a broad variety of institutions. Many academic libraries have developed archives for other forms of research data, but there is an absence of standards and best practices for producing, managing, and preserving 3D and VR content. This gap is an information management problem suited to the strengths of libraries and can benefit librarians and researchers alike across institutions. IMLS: LG-73-17-0141-17

This is the slidedeck for my NSF DataNet SEAD presentation at the 3rd International VIVO Conference held on in Miami, FL on August 22-24, 2012.

This is the slide deck used for the concurrent panel session entitled Libraries United in Opening New Scholarly Platforms. This panel presentation was given at the Force 2016 Conference held in Portland, OR on April 18, 2016. The panelists were Chris Keene, Varsha Khodiyar/Susanna Sansone, Maria Bonn, and Daniel Mietchen. At the conference Varsha Khodiyar's presentation was given by Susanna Sansone due to technical difficulties. The panel co-chairs were Steve Van Tuyl and Robert H. McDonald.

This is a postion paper for the SEAD DataNet Prototype presented at the CASC Research Data Management Implementation Symposium held on March 13-14, 2013 in Arlington, VA.

The authors extend their process for creating and establishing trust relationships to include steps for restoring trust relationships after catastrophic events. Part of this model will include best practices for business continuity relationships and will integrate trust models from Holland and Lockett (1998) and Ring and Van de Ven (1994) and how they can be applied to a process for trust restoration after periods of disaster or critical data loss. These models provide key frameworks for understanding how trust can be utilized for collaborative start points as well as for collaborative recovery points from physical natural disaster or critical data loss. Additionally, the authors will present findings from an audience poll conducted on May 15, 2009 during the presentation of this topic at the 4th International Conference on Open Repositories with additional conclusions and commentary.

The authors outline a model for digital preservation federation based upon several existing models including the U.S. Federal Reserve Bank regional governance model and its similarities to successful large-scale redundant internet networks. In addition other trust models will be examined including Maister, Green, and Galford (2000), Holland and Lockett (1998), and Ring and Van de Ven (1994). These models provide key frameworks for understanding how trust can be enabled among federated but independent institutions. Georgia Institute of Technology Indiana University