Qresp, a tool for curating, discovering and exploring reproducible scientific papers

We propose a strategy and present a simple tool to facilitate scientific data reproducibility by making available, in a distributed manner, all data and procedures presented in scientific papers, together with metadata to render them searchable and discoverable. In particular, we describe a graphica...

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Detalles Bibliográficos
Autores principales: Govoni, Marco, Munakami, Milson, Tanikanti, Aditya, Skone, Jonathan H., Runesha, Hakizumwami B., Giberti, Federico, de Pablo, Juan, Galli, Giulia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350630/
https://www.ncbi.nlm.nih.gov/pubmed/30694229
http://dx.doi.org/10.1038/sdata.2019.2
Descripción
Sumario:We propose a strategy and present a simple tool to facilitate scientific data reproducibility by making available, in a distributed manner, all data and procedures presented in scientific papers, together with metadata to render them searchable and discoverable. In particular, we describe a graphical user interface (GUI), Qresp, to curate papers (i.e. generate metadata) and to explore curated papers and automatically access the data presented in scientific publications.

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