# Reproducible Research: Best Practices and Potential Misuse

## TL;DR

This paper discusses best practices for reproducible research, emphasizing open data and code, and explores potential issues and misuse in adopting these open science principles.

## Contribution

It provides practical guidelines and personal insights on implementing reproducible research and highlights challenges and risks associated with open data and code.

## Key findings

- Open access publishing is increasingly accepted.
- Reproducible research enhances transparency and credibility.
- Potential misuse of open data and code is a concern.

## Abstract

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.