containerit: Generating Dockerfiles for reproducible research with R

@inproceedings{Nst2019containeritGD,
  title={containerit: Generating Dockerfiles for reproducible research with R},
  author={Daniel N{\"u}st and Matthias Hinz},
  year={2019}
}
Linux containers have become a promising tool to increase transparency, portability, and reproducibility of research in several domains and use cases: data science (Boettiger, 2015), software engineering research (Cito & Gall, 2016), multi-step bioinformatics pipelines (Kim, Ali, Lijeron, Afgan, & Krampis, 2017), standardised environments for exchangeable software (Belmann et al., 2015), computational archaeology (Marwick, 2017), packaging algorithms (Hosny, Vera-Licona, Laubenbacher, & Favre… CONTINUE READING

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