How to Write Beautiful Process-and-Data-Science Papers?

TL;DR

This paper emphasizes the importance of clarity, simplicity, and quality in writing process-and-data-science papers to ensure they are impactful, understandable, and stand the test of time.

Contribution

It provides guidelines and insights on how to craft high-quality, clear, and impactful scientific papers in the process and data science fields.

Findings

Clear and precise messaging enhances paper impact.

Simplicity and correctness are key to readability.

High-quality papers can remain relevant for decades.

Abstract

After 25 years of PhD supervision, the author noted typical recurring problems that make papers look sloppy, difficult to read, and incoherent. The goal is not to write a paper for the sake of writing a paper, but to convey a valuable message that is clear and precise. The goal is to write papers that have an impact and are still understandable a couple of decades later. Our mission should be to create papers of high quality that people want to read and that can stand the test of time. We use Dijkstra's adagium "Beauty Is Our Business" to stress the importance of simplicity, correctness, and cleanness.