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  • 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
  • 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.
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