Writers of the lost paper: A case study on barriers to (re-) finding publications

David Bainbridge, Sally Jo Cunningham, Annika Hinze, J. Stephen Downie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We document the surprising hurdles that we encountered when attempting a known-item search to locate copies of four of our own published research papers, known to be archived in the ACM Digital Library and Google Scholar. The discoveries made in this exercise in ‘search engine archaeology’ are noteworthy as they are equally relevant to other users engaging with these and other digital libraries, to whom the pitfalls are much less readily apparent. We present details of our investigation together with a description of MEDDLE (a ModifiED Digital Library Environment), a proof-of-concept system that illustrates a technique to address some of these search issues for a target digital library. We conclude with suggestions on how scholarly digital libraries may avoid these issues in the future.

Original languageEnglish (US)
Title of host publicationDigital Libraries
Subtitle of host publicationData, Information, and Knowledge for Digital Lives - 19th International Conference on Asia-Pacific Digital Libraries, ICADL 2017, Proceedings
EditorsSally Jo Cunningham, Songphan Choemprayong, Fabio Crestani
PublisherSpringer
Pages212-224
Number of pages13
ISBN (Print)9783319702315
DOIs
StatePublished - 2017
Event19th International Conference on Asia-Pacific Digital Libraries, ICADL 2017 - Bangkok, Thailand
Duration: Nov 13 2017Nov 15 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10647 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other19th International Conference on Asia-Pacific Digital Libraries, ICADL 2017
Country/TerritoryThailand
CityBangkok
Period11/13/1711/15/17

Keywords

  • Known-item search
  • Metadata quality
  • Re-finding

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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