Published In

Computing in Science and Engineering

Document Type

Post-Print

Publication Date

5-2013

Subjects

Information retrieval, Scientific archives -- Research, Database management, Data mining

Abstract

Large scientific repositories run the risk of losing value as their holdings expand, if it means increased effort for a scientist to locate particular datasets of interest. We discuss the challenges that scientists face in locating relevant data, and present our work in applying Information Retrieval techniques to dataset search, as embodied in the Data Near Here application.

Description

This is the author's final version of an article that was subsequently published in Computing in Science and Engineering, vol. 15, no. 3. The version of record may be found at http://dx.doi.org/10.1109/MCSE.2013.38. © 2013 IEEE Computer Society

DOI

10.1109/MCSE.2013.38

Persistent Identifier

http://archives.pdx.edu/ds/psu/13222

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