Cited by 12Library Science and Informationscientometrics and bibliometrics researchLibrary Science and Information Literacy

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Approaching librarianship from the data: using bibliomining for evidence‐based librarianship

Nicholson, Scott·2006·Library Hi Tech

Abstract

Purpose The purpose of this work is to present an alternative way of considering evidence‐based librarianship (EBL) through an examination of the data that makes up studies used for EBL. Design/methodology/approach This piece starts with the standard evidence‐based librarianship definition and deconstructs it down to the level of the individual user, and that data is considered in a different context. Findings The bibliomining process, or the combination of data warehousing, data mining, and bibliometrics, is used as a framework to build a different path to EBL. Bibliomining‐based evidence‐based librarianship is not appropriate for all topics; however, when the artifacts of library use can be gathered and explored, this method can provide a different path to reach the goals of EBL. Originality/value As the quantity of studies needed for traditional EBL are not currently available, this alternate method provides a way to achieve the goals of EBL through data already in the library systems.

Overview

Integrity signals

Registry

Crossref · 10.1108/07378830610692136

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

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Citations

Cites

Research works printed but not linked: 1

  1. Molyneux, B. (2005), “NDP goes live”, SIRSI OneSource, Vol. 1 No. 7, available at: www.imakenews.com/sirsi/e_article000426388.cfm (accessed August 14 2005).

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Metadata

Authors
Nicholson, S.
Affiliations
Syracuse University (US)
Corresponding author
Nicholson, Scott
Venue
Library Hi Tech
Publisher
Emerald
Published
2006-07-01
Volume
24
Issue
3
Pages
369-375
ISSN
0737-8831 (ISSN-L)
OpenAlex
W2135988998
Cited by
12
References
6
Citations by year
2022: 1 · 2021: 1 · 2018: 1 · 2015: 3 · 2013: 1
FWCI
4.94
Type
journal article
Language
en
Open access
closed
Locations
Library Hi Tech (publishedVersion)
Topics
  • Social Sciences › Library and Information Sciences › Library Science and Information
  • Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
  • Social Sciences › Library and Information Sciences › Library Science and Information Literacy
Keywords
evidence-based librarianship, data mining, data warehousing, bibliometric analysis

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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