Published January 29, 2019 | Version v1
Journal article Open

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

Description

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.

Files

Qresp-a-tool-for-curating-discovering-and-exploring-reproducible-scientific-papers.pdf

Additional details

Identifiers

DOI
10.1038/sdata.2019.2
Other
oai:uchicago.tind.io:5672

Funding

U.S. Department of Energy
Computational Materials Sciences Program

UChicago Information

Division(s)
Physical Sciences Division, Pritzker School of Molecular Engineering
Department(s)
Chemistry