Spanning Boundaries and Disciplines: Linked, Open and Cloud‐Based Community Metadata
Document Type
Article
Abstract
Metadata is an important component of trans-disciplinary research and is increasingly important in digital scholarship in which linked, open and cloud-based communities operate. These communities regularly access and create linked, open and cloud-based data and as such require metadata systems and structures that fit their unique communities. The vast and growing world of digital assets provide a tremendous resource for generating metadata through automated and crowd-sourced means. Likewise, metadata are increasingly being used to help connect disciplines and foster cross-collection discovery. The five panelists in this session represent a diverse and multi-disciplinary view of metadata creation and use and the research represented in this panel includes explorations of metadata in science-based, humanities, library and cultural heritage institutions. Likewise, the research presented employs a variety of methods including computational, survey, and content analysis techniques. Each panel member therefore represents a unique view in metadata research. Drs. Erik Mitchell, Jane Greenberg, Kanti Srikantaiah, Heather Lea Moulaison and Susan Rathbun-Grubb will discuss their current research streams, speaking to the above issues via an exemplary project they have chosen to describe. Interactivity between the panelists and among the audience members will be encouraged after the panelists have presented their projects for discussion. This panel has the endorsement and the support of the Special Interest Group for Classification Research (SIG-CR).
Digital Object Identifier (DOI)
Publication Info
Proceedings of the American Society for Information Science and Technology, Volume 50, Issue 1, 2013, pages 1-3.
APA Citation
Mitchell, E., Srikantiaiah, K., Rathbun‐Grubb, S., Moulaison, H. L., & Greenberg, J. (2013). Spanning boundaries and disciplines: Linked, open and cloud‐based community metadata. Proceedings of the American Society for Information Science and Technology, 50(1), 1-3. https://doi.org/10.1002/meet.14505001005