The Question of Data Integrity in Article-Level Metrics

Interest in and use of article-level metrics (ALMs) has grown rapidly amongst the research community, by researchers, publishers, funders, and research institutions. As this happens, it is critical to ensure secure and reliable data that is trustworthy and can be used by all. Two case studies are pr...

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Detalles Bibliográficos
Autores principales: Gordon, Gregg, Lin, Jennifer, Cave, Richard, Dandrea, Ralph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4546647/
https://www.ncbi.nlm.nih.gov/pubmed/26296237
http://dx.doi.org/10.1371/journal.pbio.1002161
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author Gordon, Gregg
Lin, Jennifer
Cave, Richard
Dandrea, Ralph
author_facet Gordon, Gregg
Lin, Jennifer
Cave, Richard
Dandrea, Ralph
author_sort Gordon, Gregg
collection PubMed
description Interest in and use of article-level metrics (ALMs) has grown rapidly amongst the research community, by researchers, publishers, funders, and research institutions. As this happens, it is critical to ensure secure and reliable data that is trustworthy and can be used by all. Two case studies are presented, which illustrate different approaches to establishing ALM data integrity.
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spelling pubmed-45466472015-09-01 The Question of Data Integrity in Article-Level Metrics Gordon, Gregg Lin, Jennifer Cave, Richard Dandrea, Ralph PLoS Biol Perspective Interest in and use of article-level metrics (ALMs) has grown rapidly amongst the research community, by researchers, publishers, funders, and research institutions. As this happens, it is critical to ensure secure and reliable data that is trustworthy and can be used by all. Two case studies are presented, which illustrate different approaches to establishing ALM data integrity. Public Library of Science 2015-08-21 /pmc/articles/PMC4546647/ /pubmed/26296237 http://dx.doi.org/10.1371/journal.pbio.1002161 Text en © 2015 Gordon et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Perspective
Gordon, Gregg
Lin, Jennifer
Cave, Richard
Dandrea, Ralph
The Question of Data Integrity in Article-Level Metrics
title The Question of Data Integrity in Article-Level Metrics
title_full The Question of Data Integrity in Article-Level Metrics
title_fullStr The Question of Data Integrity in Article-Level Metrics
title_full_unstemmed The Question of Data Integrity in Article-Level Metrics
title_short The Question of Data Integrity in Article-Level Metrics
title_sort question of data integrity in article-level metrics
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4546647/
https://www.ncbi.nlm.nih.gov/pubmed/26296237
http://dx.doi.org/10.1371/journal.pbio.1002161
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