The Question of Data Integrity in Article-Level Metrics

Gregg Gordon, Jennifer Lin, Richard Cave and Ralph Dandrea

PLOS Biology, 2015, vol. 13, issue 8, 1-9

Abstract: 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.Article-level metric (ALM) data need to be secure and reliable if they are to be trusted and used by all. This Perspective explores the different approaches taken by two organizations to establish ALM data integrity.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pbio00:1002161

DOI: 10.1371/journal.pbio.1002161

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