Qresp, a tool for curating, discovering and exploring reproducible scientific papers
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.
- Authors:
-
- Argonne National Lab. (ANL), Lemont, IL (United States); Univ. of Chicago, IL (United States)
- Univ. of Chicago, IL (United States)
- Publication Date:
- Research Org.:
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22). Materials Sciences & Engineering Division; Midwest Integrated Center for Computational Materials (MICCoM)
- OSTI Identifier:
- 1493732
- Grant/Contract Number:
- AC02-06CH11357
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Scientific Data
- Additional Journal Information:
- Journal Volume: 6; Journal ID: ISSN 2052-4463
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 99 GENERAL AND MISCELLANEOUS; 96 KNOWLEDGE MANAGEMENT AND PRESERVATION
Citation Formats
Govoni, Marco, Munakami, Milson, Tanikanti, Aditya, Skone, Jonathan H., Runesha, Hakizumwami B., Giberti, Federico, de Pablo, Juan, and Galli, Giulia. Qresp, a tool for curating, discovering and exploring reproducible scientific papers. United States: N. p., 2019.
Web. doi:10.1038/sdata.2019.2.
Govoni, Marco, Munakami, Milson, Tanikanti, Aditya, Skone, Jonathan H., Runesha, Hakizumwami B., Giberti, Federico, de Pablo, Juan, & Galli, Giulia. Qresp, a tool for curating, discovering and exploring reproducible scientific papers. United States. https://doi.org/10.1038/sdata.2019.2
Govoni, Marco, Munakami, Milson, Tanikanti, Aditya, Skone, Jonathan H., Runesha, Hakizumwami B., Giberti, Federico, de Pablo, Juan, and Galli, Giulia. Tue .
"Qresp, a tool for curating, discovering and exploring reproducible scientific papers". United States. https://doi.org/10.1038/sdata.2019.2. https://www.osti.gov/servlets/purl/1493732.
@article{osti_1493732,
title = {Qresp, a tool for curating, discovering and exploring reproducible scientific papers},
author = {Govoni, Marco and Munakami, Milson and Tanikanti, Aditya and Skone, Jonathan H. and Runesha, Hakizumwami B. and Giberti, Federico and de Pablo, Juan and Galli, Giulia},
abstractNote = {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.},
doi = {10.1038/sdata.2019.2},
journal = {Scientific Data},
number = ,
volume = 6,
place = {United States},
year = {2019},
month = {1}
}
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