# The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research

## TL;DR

This paper offers practical guidance for researchers in experimental networking to improve the reproducibility of their work, emphasizing design principles that facilitate verification and future research.

## Contribution

It introduces a comprehensive beginner's guide with specific recommendations to enhance reproducibility in Internet measurement and networked systems research.

## Key findings

- Provides a set of best practices for reproducible experiments
- Highlights common challenges and solutions in reproducibility
- Serves as an educational resource for new researchers

## Abstract

Reproducibility is one of the key characteristics of good science, but hard to achieve for experimental disciplines like Internet measurements and networked systems. This guide provides advice to researchers, particularly those new to the field, on designing experiments so that their work is more likely to be reproducible and to serve as a foundation for follow-on work by others.