IPOL: a new journal for fully reproducible research; analysis of four years development

Miguel Colom (1) , Bertrand Kerautret (2) , Nicolas Limare (1) , Pascal Monasse (3, 4, 5) , Jean-Michel Morel (1)

1 CMLA - Centre de Mathématiques et de Leurs Applications
2 ADAGIO - Applying Discrete Algorithms to Genomics and Imagery
3 ENPC - École des Ponts ParisTech
4 LIGM - Laboratoire d'Informatique Gaspard-Monge
5 imagine [Marne-la-Vallée]

After four years of development of the Image Processing On Line journal (IPOL), this article presents a first analysis and overview of its scientific and technical development. The main issues met and overcome from the beginning of the journal are described with a focus on the purpose of the journal to establish a state of the art on the main Image Processing topics. The evolution of the online demonstration is also presented with a first analysis of author/publisher criticism, which led to a proposal for a new modular architecture of its demo system.

Mots clés: reproducible research; image processing; online demo; peer-review; system architecture; scientific publications

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]

Miguel Colom, Bertrand Kerautret, Nicolas Limare, Pascal Monasse, Jean-Michel Morel. IPOL: a new journal for fully reproducible research; analysis of four years development. Workshop NTMS 2015 on Reproducibility in Computation Based Research, Jul 2015, Paris, France. ⟨hal-01181282⟩