Improving the Reproducibility of LaTeX Documents by Enriching Figures with Embedded Scripts and Data

The introduction of open access data policies by research councils, the enforcement of best practices, and the deployment of persistent online repositories have enabled datasets that support results in scientific papers to become more widely accessible. Unfortunately, despite this advancement in the curation/publishing workflow, the data-driven figures within a paper often remain difficult to reproduce. Plotting or analysis scripts rarely accompany the manuscript or any associated software release; and even if they do, it may be unclear exactly which version was used. Furthermore, the precise commands and parameters used to execute the scripts are often not included in a README file or in the paper itself. This paper introduces a new open source digital curation tool, Pynea, for improving the reproducibility of LaTeX documents. Each figure within a document is enriched by automatically embedding the plotting script and data files required to generate it, such that it can be regenerated by readers of the paper in the future. The command used to execute the plotting script is also added to the figure’s metadata, along with details of the specific version of the script used (if the script is tracked with the Git version control system). If the document is to be recompiled with a figure that has since changed, or had its plotting script or data files modified, the figure is regenerated such that the author can be confident that the latest version of the figure and its dependencies are included. Received 06 April 2019 | Revision received 30 June 2019 | Accepted 12 August 2019 Correspondence should be addressed to Dr Christian T. Jacobs, Defence Science and Technology Laboratory (Dstl), Porton Down, Salisbury, Wiltshire, SP4 0JQ, United Kingdom, Email: cjacobs@dstl.gov.uk The International Journal of Digital Curation is an international journal committed to scholarly excellence and dedicated to the advancement of digital curation across a wide range of sectors. The IJDC is published by the University of Edinburgh on behalf of the Digital Curation Centre. ISSN: 1746-8256. URL: http://www.ijdc.net/ Copyright rests with the authors. This work is released under a Creative Commons Attribution 4.0 International Licence. For details please see http://creativecommons.org/licenses/by/4.0/ International Journal of Digital Curation 2020, Vol. 14, Iss. 1, 292–302. 292 https://doi.org/10.2218/ijdc.v14i1.656 DOI: 10.2218/ijdc.v14i1.656 doi:10.2218/ijdc.v14i1.656 Christian T. Jacobs | 293