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

被引：26

作者：

Govoni, Marco ^{[1
,2
,3
]}

Munakami, Milson ^{[4
]}

Tanikanti, Aditya ^{[3
]}

Skone, Jonathan H. ^{[4
]}

Runesha, Hakizumwami B. ^{[4
]}

Giberti, Federico ^{[3
]}

de Pablo, Juan ^{[1
,2
,3
]}

Galli, Giulia ^{[1
,2
,3
,5
]}

机构：

[1] Argonne Natl Lab, Inst Mol Engn, Lemont, IL 60439 USA

[2] Argonne Natl Lab, Mat Sci Div, Lemont, IL 60439 USA

[3] Univ Chicago, Inst Mol Engn, Chicago, IL 60637 USA

[4] Univ Chicago, Res Comp Ctr, Chicago, IL 60637 USA

[5] Univ Chicago, Dept Chem, 5735 S Ellis Ave, Chicago, IL 60637 USA

来源：

SCIENTIFIC DATA | 2019年 / 6卷 / 1期

关键词：

SCIENCE;

D O I：

10.1038/sdata.2019.2

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

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.

引用

页数：7

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