文章基本信息

标题：Qresp, a tool for curating, discovering and exploring reproducible scientific papers
本地全文：下载
作者：Marco Govoni ; Milson Munakami ; Aditya Tanikanti 等
期刊名称：Scientific Data
电子版ISSN：2052-4463
出版年度：2019
卷号：6
DOI：10.1038/sdata.2019.2
语种：English
出版社：Nature Publishing Group
摘要：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.