Software Tools and Workflows for Reproducible Science

S Spors, H Wierstorf, M Geier, F Winter, N Hahn, F Schultz, "Software Tools and Workflows for Reproducible Science," in Fortschritte der Akustik - DAGA 2019, (2019). [ poster ]

Bibtex

@misc{Spors2019a,
    title     = {{Software Tools and Workflows for Reproducible Science}},
    author    = {Spors, Sascha and Wierstorf, Hagen and Geier, Matthias and
                 Winter, Fiete and Hahn, Nara and Schultz, Frank},
    booktitle = {Fortschritte der Akustik - DAGA 2019},
    publisher = {DEGA e.V.},
    address   = {Rostock, Germany},
    month     = {March},
    year      = {2019}
}

Abstract

Science relies on the traceability and replicability of studies. Aiming for sustainability, this is important for the authors itself as well as for the research community once results become published. Ideally the entire research process, from initial concepts till publication, shall be performed under the open science paradigm. Recent efforts in the open source software community led to convenient tools for research data management. Nowadays, it is almost self-evident that researchers are engaged in the professional typesetting process using the mature LaTeX front-end with graphical packages like TikZ. Furthermore, version-control systems such as Git are probably used by a large part of the community for open and closed source projects. Besides that, the open source programming language Python and its various open tools for code development gradually become predominant, supporting the open science paradigm. Jupyter notebooks together rapidly gain importance in the workflow for prototyping, documentation and education. Documentation tools like ”Sphinx” and free hosting platforms like ”Read the Docs” are emerging front-ends that allow versioned technical documentation with hyperlinks. In this contribution we discuss and demonstrate a current reliable workflow for open science/research starting from puzzling ideas to publishing results.