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Dataset Search: An open source tool to support data discovery, reuse, and analytics

Authors: Mannheimer, Sara; Clark, Jason A.; Espeland, James; Schultz, Jakob; Borland, Rhonda; Hagerman, Kyle; Laden, Daniel;

Dataset Search: An open source tool to support data discovery, reuse, and analytics

Abstract

A number of recent projects focus on indexing research data repositories, using various strategies. Montana State University (MSU) Library aims to bring together the ideas of these existing projects, as well as some innovations, to encourage discovery and reuse of datasets from MSU researchers. MSU librarians gave a presentation at OR2018 in which we walked through an early prototype of the MSU Dataset Search tool. This presentation will update the Open Repositories community on the completed tool, launched in January 2020. The goals of the tool are: (1) promote discovery for datasets from MSU; (2) present MSU research data in one central index; (3) support discovery for restricted data; and (4) showcase research data as a legitimate research product that can be cited, reused, shared, and analyzed—including data dashboards that provide new transparency and visualizations of research data in our community. We will also present a technical discussion of how the software works and design decisions that we considered. We will finish the session by discussing lessons learned, Search Engine Optimization efforts, the potential for this tool to be implemented at other small and mid-sized institutions, and national data discovery initiatives.

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Keywords

data discovery, data reuse, OR2021, research data

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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