Login / Signup

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

Marco GovoniMilson MunakamiAditya TanikantiJonathan H SkoneHakizumwami B RuneshaFederico GibertiJuan de PabloGiulia Galli
Published in: Scientific data (2019)
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.
Keyphrases
  • electronic health record
  • big data
  • machine learning
  • data analysis
  • artificial intelligence
  • neural network