Limare, Nicolas Reproducible Research in Computational Science — Santiago 2013-04-15 <p>Presentation of IPOL in the context of "Reproducible Research in Computational Science" on April 15th, 2013, at the Faculty of Physical and Mathematical Sciences(FCFM) , University of Chile (UChile), Santiago, Chile.</p> <p> </p> <p> </p> <p>Software is an essential component of applied and computational sciences, but not included yet in the research publication workflow. Without implementations, one can not know all the fine details of an algorithm and accurately reproduce and verify previous scientific results. Therefore, publishing algorithms without their implementation doesn't satisfy the scientific method.</p> <p>IPOL answers this problem for image processing. In this research journal, each article contains a text describing an algorithm and source code, with an online demonstration facility and an archive of online experiments. The text and source code are peer-reviewed and the demonstration is controlled.</p> <p>After a short introduction to the Reproducible Research and Open Science background, we will explain why we need new publishing models like IPOL, how IPOL works, its benefits, and our plans for future development.</p> <p> </p> <p>----</p> <p>presentation derived from<br>Reproducible Research in Computational Science — Montevideo 2013-04-11. Nicolas Limare. figshare.</p> <p>http://dx.doi.org/10.6084/m9.figshare.679984</p> <p> </p> <p>with parts from<br>IPOL: Image Processing On Line. Gabriele Facciolo, Nicolas Limare. figshare.</p> <p>http://dx.doi.org/10.6084/m9.figshare.679852</p> <p> </p> <p> </p> ipol;journal;Image processing;Science Policy;Applied Computer Science 2013-04-16
    https://figshare.com/articles/presentation/Reproducible_Research_in_Computational_Science_Santiago_2013_04_15/681856
10.6084/m9.figshare.681856.v1