|START Conference Manager|
ASIST 2012 Annual Meeting
Baltimore, MD, October 26-30, 2012
Identifying Content and Levels of Representation in Scientific Data
Karen Wickett, Simone Sacchi, David Dubin and Allen Renear
The documentation and integration of heterogeneous digital data produced by different communities with varying practices, assumptions, representation schemes, and encodings, presents substantial obstacles to integration and analysis. Developing conceptual models for these notions raises foundational issues in the representation of information in digital form, many pertaining to identity. In this paper we present the Basic Representation Model and the Systematic Assertion Model. We show how these models work together to provide an analytical account of digitally-encoded scientific data. We expect these models to inform precisely defined format-migration activities, assessment of identity and scientific equivalence, and digital preservation strategies in general.