Published January 29, 2019
| Version v1
Journal article
Open
Qresp, a tool for curating, discovering and exploring reproducible scientific papers
Creators
- 1. University of Chicago
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.
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Qresp-a-tool-for-curating-discovering-and-exploring-reproducible-scientific-papers.pdf
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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