Journal Article: “Methods & Proposal for Metadata Guiding Principles for Scholarly Communications”
The following article was recently published by Research Ideas and Outcomes..
University of Alabama at Birmingham
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The London School of Economics and Political Science
Research Ideas and Outcomes 6: e53916
This article describes an international community-based effort to create metadata guiding principles for adopting and using richer metadata and advancing its application in scholarly communications. These principles can facilitate the dissemination, discoverability and use/reuse of many types of research and scholarly outputs. While much work remains to be done, these principles serve as a starting point for the evolution of processes that span communities including publishers, researchers, scholars, authors and other creators, librarians, curators, custodians, and consumers of scholarly works.
These aspirational Metadata 2020 Principles are designed to encompass the needs of our entire community while ensuring thoughtful, purposeful, and reusable metadata resources. They provide a framework for all of us to be good metadata citizens. They also provide a foundation for considering related work from Metadata 2020 and must be interpreted within the legal and practical context in which we operate. They are intended to guide the broadest possible cross-section of our community in improving research communications, publishing, and discoverability.
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About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.