# Reproducible Research: Best Practices and Potential Misuse

arXiv: https://arxiv.org/abs/1905.00645 · HTML: https://mlsanity.com/paper/1905.00645/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 May 2019.

## Built on by (most cited first, 1 of 1)

- [A Guide to Computational Reproducibility in Signal Processing and Machine Learning](https://mlsanity.com/paper/2108.12383/) (2021)

## Abstract (arXiv)

The scientific world is becoming more open to the public and fellow researchers. Open access publishing is becoming accepted, even if some publishers are resisting. The next step is the open code and data paradigm, which was briefly discussed in the "From the Editor" column in the November 2018 issue of IEEE Signal Processing Magazine (SPM) [1]. In this column, I follow up on this topic by sharing my experiences, best practices, and thoughts about reproducible research.