1 Introduction
Working with data and models, using to create valuable and impactful information is a complex task. It requires a combination of technical skills, domain knowledge, and an understanding of the broader context in which the data and models are used.
The effictive and responsible use of data and models is crucial for researchers. It must me clear how resulta are obtained, what the limitations are, and how they can be reproduced. This is where the Fair Software for Research (FS4R) book comes in. The knowlesge of this book is based on standing practices in data science and data software engineering,
This book is written to help you to apply these standards to your work in a hands on way. We will not explain each standard in detail but only briefly mention or link them where relevant. What we will do is to show you best practices about data science and data engineering that will help you to improve your research and make your work reproducible, transparent, reusable and reliable.
This book is writen for data scientist, data modellers, data analysts, data managers and anybody else working with data. The book is collaborative effort and anybody is welcome to contribute.
TODO: explain how to contribute
1.1 How to use this book?
While this is a book, it is not meant to be read from cover to cover. It a is a collection of guidances and recipes that you can use when you are doing your research. You can read the book in any order or just pick the chapters that are relevant to you. Each chapter is self contained and can be read independently. However, the order of the chapters is logical for somebody who is new to data science or the way of working with data and models.