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

Autor: Milson Munakami, Juan J. de Pablo, Hakizumwami Birali Runesha, Giulia Galli, Federico Giberti, Aditya Tanikanti, Jonathan H. Skone, Marco Govoni
Rok vydání: 2019
Předmět:
Zdroj: Scientific Data
ISSN: 2052-4463
Popis: 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.
Databáze: OpenAIRE