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April 7, 2020 by Gary Price

Research Preprint: “On the Persistence of Persistent Identifiers of the Scholarly Web”

April 7, 2020 by Gary Price

The following research article (preprint) recently became available on arXiv.

Title

On the Persistence of Persistent Identifiers of the Scholarly Web

Authors

Martin Klein
Los Alamos National Laboratory

Lyudmila Balakireva
Los Alamos National Laboratory

Source

via arXiv

Abstract

Scholarly resources, just like any other resources on the web, are subject to reference rot as they frequently disappear or significantly change over time. Digital Object Identifiers (DOIs) are commonplace to persistently identify scholarly resources and have become the de facto standard for citing them. We investigate the notion of persistence of DOIs by analyzing their resolution on the web. We derive confidence in the persistence of these identifiers in part from the assumption that dereferencing a DOI will consistently return the same response, regardless of which HTTP request method we use or from which network environment we send the requests. Our experiments show, however, that persistence, according to our interpretation, is not warranted. We find that scholarly content providers respond differently to varying request methods and network environments and even change their response to requests against the same DOI. In this paper we present the results of our quantitative analysis that is aimed at informing the scholarly communication community about this disconcerting lack of consistency.

Direct to Full Text Article
14 pages; PDF.

Filed under: Journal Articles, News

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About Gary Price

Gary Price (gprice@gmail.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.

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