Chao, Weber, and Sacchi Present at Joint Conference on Digital Libraries


June 28, 2011

Description

 

CIRSS graduate students Tiffany Chao, Nicholas Weber, and Simone Sacchi presented posters at the ACM/IEEE Joint Conference on Digital Libraries this month, which took place in Ottawa, Canada, from June 13-June 17. The theme for this year's conference was "Digital Libraries: Bringing Together Scholars, Scholarship and Research Data."

Analytic Potential of Data: Assessing Reuse Value
Carole L. Palmer; Nicholas M. Weber; Melissa H. Cragin

This poster represents the first iteration of a concept for analyzing the potential of a data collection to be re-used. We initially discuss Birger Hjørland's notion of a document having an epistemological potential (a potential to inform the knowledge work of many varying user groups) and why this model is and is not applicable to data. We then introduce the additional analytic components that data require, in the form of a fit-for-purpose and preservation readiness evaluation. We conclude with a discussion of how we foresee these notions assisting curators in accurately forecasting the potential value of a collection across various user domains.  This work was a result of the collection policy group in the Data Conservancy, and has been further fleshed out in a paper submitted to the 2011 ASIS&T annual conference.


Units of Evidence for Analyzing Subdisciplinary Difference in Data Practice Studies
Melissa H. Cragin, Tiffany C. Chao, Carole L. Palmer

Digital libraries (DLs) are adapting to include research materials generated upstream in the research-publication cycle. Managing these new content types – and creating services to support their use – spans the elements of DL development, revealing complicated technical requirements (e.g. exposing complex relationships amongst objects) and the need for additional human infrastructure. Building collections of scientific data also raises questions concerning data selection, policy development, collaboration, and outreach efforts and how to best align these with local, institutional initiatives for cyberinfrastructure, data-intensive research, and data stewardship.  To facilitate data acquisition and purposeful user services, we require increased understanding of data-practice-curation service arrangements across small science research. We present a flexible methodological approach crafted to generate units of evidence to analyze these relationships and facilitate cross-disciplinary comparisons.

Annotation function categories: A semantic extension to the OAC Alpha3 Data Model   
Simone Sacchi

Modeling annotation for sharing has been the topic of many studies and projects in the last decade. However, the developed models have focused on modeling annotations for what they are, rather what they are for. This poster suggests an extension of the Open Annotation Collaboration Alpha3 Data Model to support the sharing of function categories able to express the semantics of annotation with respect to the annotation body and the annotation target(s). This semantic enhancement is meant also to inform applications and tools on how to interpret annotation for the purpose of exposing new functionalities to the users. Part of the Semantic Web Technologies for Libraries and Readers workshop.

 


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