Preparing the Way: Creating Future Compatible Cataloguing Data in a Transitional Environment

Seeman, Dean and Goddard, Lisa (2014) Preparing the Way: Creating Future Compatible Cataloguing Data in a Transitional Environment. In: Faster, smarter and richer. Reshaping the library catalogue., February 26 - 28, 2014, Rome, Italy. (Unpublished)

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Abstract

There exists a tension between the data produced in library catalogues presently and the data requirements of an uncertain future. While Linked Data dominates the theoretical and experimental discussion of the next generation of information discovery, the daily work of the cataloguer remains mostly unchanged. The practice of following standards is essential for cataloguing data, and Resource Description and Access (RDA) attempts to bridge the gap between legacy data and a future where Linked Data is increasingly important. But in this transitional environment, where cataloguers continue to create MARC records in traditional closed library databases, can cataloguers do something more to prepare for the future to make their data smarter and richer? While Linked Data deals with large aggregations of data, how can the daily work of the cataloguer at present be leveraged to positively impact future aggregate data tasks and requirements? In short, what can the present-day cataloguer do to “prepare the way” for future data needs? To investigate, this paper will discuss several key questions. What does the future, particularly Linked Data, require of cataloguing data? What can cataloguers do to “prepare the way” for this future as they produce granular data on a daily basis? To what extent do current standards, including RDA, help to meet future requirements? Is following standards all that is required, or are there forward-facing data principles and practices that should otherwise inform practice? And, finally, to what extent is creating good data a neutral process independent of specific current or future technologies? The authors will examine these issues in reference to existing data quality models proposed within and outside of the cataloguing literature. Practical suggestions for current cataloguing production practice will be made based on the future needs outlined.

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