Raising the bar for accessibility and sustainability of data published in scientific papers

ORAL

Abstract

The availability of data presented in scientific papers is often hindered by the lack of direct links between published results and the datasets used to generate them. In the case of papers published by the physics, chemistry and materials science communities, such links may be a complex combination of connections to large and heterogeneous datasets. We developed a platform for the dissemination and reproducibility of data on a per-publication basis. We envision each scientific paper to be complemented by electronic notebooks that describe dataset manipulations, and with metadata available to describe provenance of all used codes and experiments. We will discuss the main pillars of the infrastructure developed to make data searchable and shareable, and metadata available.

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Presenters

  • Marco Govoni

    Materials Science Division, Argonne National Laboratory, Institute for Molecular Engineering and Materials Science Division, Argonne National Lab, Argonne National Laboratory; University of Chicago, Insitute for Molecular Engineering and Materials Science Division, Argonne National Lab, Materials Science Division , Argonne National Laboratory, Argonne National Laboratory, Institute for Molecular Engineering, University of Chicago

Authors

  • Marco Govoni

    Materials Science Division, Argonne National Laboratory, Institute for Molecular Engineering and Materials Science Division, Argonne National Lab, Argonne National Laboratory; University of Chicago, Insitute for Molecular Engineering and Materials Science Division, Argonne National Lab, Materials Science Division , Argonne National Laboratory, Argonne National Laboratory, Institute for Molecular Engineering, University of Chicago

  • Milson Munakami

    Research Computing Center, University of Chicago

  • Aditya Tanikanti

    Institute for Molecular Engineering, University of Chicago

  • Jonathan Skone

    Research Computing Center, University of Chicago

  • Hakizumwami Runesha

    Research Computing Center, University of Chicago

  • Juan De Pablo

    Institute for Molecular Engineering, The University of Chicago, Institute for Molecular Engineering, Univ of Chicago, Institute for molecular engineering, The University of Chicago, University of Chicago, Univ of Chicago, Institute for Molecular Engineering, University of Chicago, The Institute for Molecular Engineering, The University of Chicago, Institute of Molecular Engineering, University of Chicago

  • Giulia Galli

    Institute for Molecular Engineering, University of Chicago, Univ of Chicago, University of Chicago, Institute for Molecular Engineering, University of Chicago; Argonne National Laboratory, Institute for Molecular Engineering, University of Chicago, Chicago, IL, United States and Materials Science Division, Argonne National Laboratory, University of Chicago; Argonne National Laboratory, Institute for Molecular Engineering, Univ of Chicago