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

Sci Data. 2019 Jan 29:6:190002. doi: 10.1038/sdata.2019.2.

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.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Datasets as Topic*
  • Information Storage and Retrieval*
  • Metadata
  • Reproducibility of Results*
  • Scientific Experimental Error
  • Serial Publications
  • Software