Open Science for Computer Simulation

Authors
Affiliations

Thomas Monks

University of Exeter Medical School

Alison Harper

University of Exeter Medical School

Anastasia Anagnostou

Brunel University London

Simon Taylor

Brunel University London

Published

14 Jul 2022

Doi

10.31219/osf.io/zpxtm

Abstract

This paper provides a framework for conceptualising levels of open science and open working within computer modelling and simulation. We aim to support researchers to share their models and working so that others are free to use, reproduce, adapt and build upon, and re-share their work. We introduce a six level framework of increasing complexity: not open, open access, open artefacts, open models, open environment and open infrastructure. For each we provide practical advice on what aspects of open science researchers must consider, what options are available to them, and what challenges they will need to overcome. We illustrate our open science framework using a stylised discrete-event simulation model. All code used in this paper is available, cloud executable and reusable under an MIT license.

Article

Citation

BibTeX citation:
@online{monks2022,
  author = {Monks, Thomas and Harper, Alison and Anagnostou, Anastasia
    and Taylor, Simon},
  title = {Open {Science} for {Computer} {Simulation}},
  date = {2022-07-14},
  url = {https://pythonhealthdatascience.github.io/stars/pages/publications/2022/monks2022open/},
  doi = {10.31219/osf.io/zpxtm},
  langid = {en}
}
For attribution, please cite this work as:
Monks, Thomas, Alison Harper, Anastasia Anagnostou, and Simon Taylor. 2022. “Open Science for Computer Simulation.” July 14, 2022. https://doi.org/10.31219/osf.io/zpxtm.