The Question of Data Integrity in Article-Level Metrics.

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...

Full description

Bibliographic Details
Main Authors: Gregg Gordon, Jennifer Lin, Richard Cave, Ralph Dandrea
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-08-01
Series:PLoS Biology
Online Access:http://europepmc.org/articles/PMC4546647?pdf=render
id doaj-49e82013d4044ab880959643315459ee
record_format Article
spelling doaj-49e82013d4044ab880959643315459ee2021-07-02T12:37:05ZengPublic Library of Science (PLoS)PLoS Biology1544-91731545-78852015-08-01138e100216110.1371/journal.pbio.1002161The Question of Data Integrity in Article-Level Metrics.Gregg GordonJennifer LinRichard CaveRalph DandreaInterest 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.http://europepmc.org/articles/PMC4546647?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Gregg Gordon
Jennifer Lin
Richard Cave
Ralph Dandrea
spellingShingle Gregg Gordon
Jennifer Lin
Richard Cave
Ralph Dandrea
The Question of Data Integrity in Article-Level Metrics.
PLoS Biology
author_facet Gregg Gordon
Jennifer Lin
Richard Cave
Ralph Dandrea
author_sort Gregg Gordon
title The Question of Data Integrity in Article-Level Metrics.
title_short 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_sort question of data integrity in article-level metrics.
publisher Public Library of Science (PLoS)
series PLoS Biology
issn 1544-9173
1545-7885
publishDate 2015-08-01
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.
url http://europepmc.org/articles/PMC4546647?pdf=render
work_keys_str_mv AT gregggordon thequestionofdataintegrityinarticlelevelmetrics
AT jenniferlin thequestionofdataintegrityinarticlelevelmetrics
AT richardcave thequestionofdataintegrityinarticlelevelmetrics
AT ralphdandrea thequestionofdataintegrityinarticlelevelmetrics
AT gregggordon questionofdataintegrityinarticlelevelmetrics
AT jenniferlin questionofdataintegrityinarticlelevelmetrics
AT richardcave questionofdataintegrityinarticlelevelmetrics
AT ralphdandrea questionofdataintegrityinarticlelevelmetrics
_version_ 1721329899270045696

Similar Items