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Brian Dobreski

Researcher at University of Tennessee

Publications -  29
Citations -  122

Brian Dobreski is an academic researcher from University of Tennessee. The author has contributed to research in topics: Metadata & Computer science. The author has an hindex of 6, co-authored 25 publications receiving 103 citations. Previous affiliations of Brian Dobreski include Syracuse University & University UCINF.

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Values in Knowledge Organization Standards: A Value Analysis of Resource Description and Access (RDA)

TL;DR: The ways in which standards and their enactments serve to mediate key community values are revealed, demonstrating the integral nature of values in standards, and position value analysis as a useful methodology in the critical study of standards in all domains.
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The relationship between race competitiveness, standing in the polls, and social media communication strategies during the 2014 U.S. gubernatorial campaigns

TL;DR: This article studied how competitiveness affects the ways candidates communicate online, and found that competitiveness affects how candidates communicate on social media, and how they use social media for strategic advantage in political campaigns.
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Changing depictions of persons in library practice: Spirits, pseudonyms, and human bookst

TL;DR: An historical timeline is reconstructed and six standards guiding the representation of persons are identified, capturing changing definitions of people, a shifting focus from names to identities, and an increasing acceptance of varied sources of justification.
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The joy of being a book: benefits of participation in the human library

TL;DR: This study analyzes the post‐event survey responses of human books from four different human library events hosted by various institutions and suggests eight major categories of benefits for human books.
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Metadata and Reproducibility: A Case Study of Gravitational Wave Research Data Management

TL;DR: The findings from interviews with gravitational wave researchers were designed to gather user requirements to develop a metadata model, which tends to differ from those currently available in metadata standards.