Toward Enabling Reproducibility for Data-Intensive Research Using the Whole Tale Platform

Kyle Chard, Niall Gaffney, Mihael Hategan, Kacper Kowalik, Bertram Ludäscher, Timothy M. McPhillips, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Thomas Thelen, Matthew J. Turk, Craig Willis. Toward Enabling Reproducibility for Data-Intensive Research Using the Whole Tale Platform. In Ian T. Foster, Gerhard R. Joubert, Ludek Kucera, Wolfgang E. Nagel, Frans J. Peters, editors, Parallel Computing: Technology Trends, Proceedings of the International Conference on Parallel Computing, PARCO 2019, Prague, Czech Republic, September 10-13, 2019. Volume 36 of Advances in Parallel Computing, pages 766-778, IOS Press, 2019. [doi]

@inproceedings{ChardGHKLMNSTTT19,
  title = {Toward Enabling Reproducibility for Data-Intensive Research Using the Whole Tale Platform},
  author = {Kyle Chard and Niall Gaffney and Mihael Hategan and Kacper Kowalik and Bertram Ludäscher and Timothy M. McPhillips and Jarek Nabrzyski and Victoria Stodden and Ian J. Taylor and Thomas Thelen and Matthew J. Turk and Craig Willis},
  year = {2019},
  doi = {10.3233/APC200107},
  url = {https://doi.org/10.3233/APC200107},
  researchr = {https://researchr.org/publication/ChardGHKLMNSTTT19},
  cites = {0},
  citedby = {0},
  pages = {766-778},
  booktitle = {Parallel Computing: Technology Trends, Proceedings of the International Conference on Parallel Computing, PARCO 2019, Prague, Czech Republic, September 10-13, 2019},
  editor = {Ian T. Foster and Gerhard R. Joubert and Ludek Kucera and Wolfgang E. Nagel and Frans J. Peters},
  volume = {36},
  series = {Advances in Parallel Computing},
  publisher = {IOS Press},
  isbn = {978-1-64368-071-2},
}