Datatrack: An R package for managing data in a multi-stage experimental workflow data versioning and provenance considerations in interactive scripting

Philip Eichinski, Paul Roe. Datatrack: An R package for managing data in a multi-stage experimental workflow data versioning and provenance considerations in interactive scripting. In 12th IEEE International Conference on e-Science, e-Science 2016, Baltimore, MD, USA, October 23-27, 2016. pages 147-154, IEEE, 2016. [doi]

@inproceedings{EichinskiR16,
  title = {Datatrack: An R package for managing data in a multi-stage experimental workflow data versioning and provenance considerations in interactive scripting},
  author = {Philip Eichinski and Paul Roe},
  year = {2016},
  doi = {10.1109/eScience.2016.7870895},
  url = {http://dx.doi.org/10.1109/eScience.2016.7870895},
  researchr = {https://researchr.org/publication/EichinskiR16},
  cites = {0},
  citedby = {0},
  pages = {147-154},
  booktitle = {12th IEEE International Conference on e-Science, e-Science 2016, Baltimore, MD, USA, October 23-27, 2016},
  publisher = {IEEE},
  isbn = {978-1-5090-4273-9},
}