Reproducible research platform for electric power quality algorithms

Abstract

Scientific computation is emerging as the central pillar of science. However, loosed research practices and the own nature of the work is leading to a credibility crisis. Reproducible computational research is gaining attraction in the last decades not only because it benefits the validation and attestation of findings, making a more trustworthy publication, but also lowering the barrier of entry, making it more understandable for the target audience and, therefore, increasing its impact. In this article, an online platform where it is possible to store, share and execute linked code and data, from signal processing, applied to electric power quality, is presented. In such manner, this article presents an alternative for researchers in the field to conduct and share their work satisfying the requirements of reproducible research.