October 22, 2021

New Journal Article: “Persistence Statements: Describing Digital Stickiness”

The following article was published today by Data Science Journal.

Title

Persistence Statements: Describing Digital Stickiness

Authors

John Kunze
University of California

Scout Calvert
Michigan State University

Jeremy D. DeBarry
University of Georgia

Matthew Hanlon
Texas Advanced Computing Center

Greg Janée
University of California

Sandra Sweat
Athena Health

Source

Data Science Journal. 16, p.39
doi:10.5334/dsj-2017-039

Abstract

In this paper we present a draft vocabulary for making “persistence statements.” These are simple tools for pragmatically addressing the concern that anyone feels upon experiencing a broken web link. Scholars increasingly use scientific and cultural assets in digital form, but choosing which among many objects to cite for the long term can be difficult. There are few well-defined terms to describe the various kinds and qualities of persistence that object repositories and identifier resolvers do or don’t provide. Given an object’s identifier, one should be able to query a provider to retrieve human- and machine-readable information to help judge the level of service to expect and help gauge whether the identifier is durable enough, as a sort of long-term bet, to include in a citation. The vocabulary should enable providers to articulate persistence policies and set user expectations.

Direct to Full Text Article

About Gary Price

Gary Price (gprice@mediasourceinc.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. Before launching INFOdocket, Price and Shirl Kennedy were the founders and senior editors at ResourceShelf and DocuTicker for 10 years. From 2006-2009 he was Director of Online Information Services at Ask.com, and is currently a contributing editor at Search Engine Land.

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