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...

Descripción completa

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
Descripción
Sumario: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.

Ejemplares similares