Qresp, a tool for curating, discovering and exploring reproducible scientific papers
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Published on: April 13, 2022
Marco Govoni1,2, Milson Munakami3, Aditya Tanikanti2
1Institute for Molecular Engineering and Materials Science Division, Argonne National Laboratory, Lemont, IL, 60439, USA.
Abstract:
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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