Research Software Engineering

A Guide to the Open Source Ecosystem

Matthias Bannert (KOF Swiss Economic Institute, Zurich, Switzerland)

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English

Chapman & Hall/CRC
17 April 2024

Probability & statistics; Operating systems; Software Engineering; Databases; Computer science

Series: Chapman & Hall/CRC Data Science Series

Research Software Engineering: A Guide to the Open Source Ecosystem strives to give a big-picture overview and an understanding of the opportunities of programming as an approach to analytics and statistics. The book argues that a solid ""programming"" skill level is not only well within reach for many but also worth pursuing for researchers and business analysts. The ability to write a program leverages field-specific expertise and fosters interdisciplinary collaboration as source code continues to become an important communication channel. Given the pace of the development in data science, many senior researchers and mentors, alongside non-computer science curricula lack a basic software engineering component. This book fills the gap by providing a dedicated programming-with-data resource to both academic scholars and practitioners.

Key Features

overview: breakdown of complex data science software stacks into core components applied: source code of figures, tables and examples available and reproducible solely with license cost-free, open source software reader guidance: different entry points and rich references to deepen the understanding of selected aspects

By: Matthias Bannert (KOF Swiss Economic Institute Zurich Switzerland)
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 453g
ISBN: 9781032261270
ISBN 10: 1032261277
Series: Chapman & Hall/CRC Data Science Series
Pages: 182
Publication Date: 17 April 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Matthias Bannert, Ph.D. gained his hands-on data science and data engineering at ETH Zürich in more than a decade of working for the KOF Swiss Economic Institute. Today, he works as a data engineering expert advisor at cynkra and supports ETH as a section lead in the innovation-minded KOF Lab. In 2021, he was a co-chair of useR!, the annual user conference of the R Project for Statistical Computing. He remains an active contributor to extension packages of the R language and the open source community in general.

Reviews for Research Software Engineering: A Guide to the Open Source Ecosystem

""Covering the broad and evolving field of research software engineering ... is an ambitious task, and this book makes a commendable effort in doing so. It starts with a general overview, introducing key concepts such as development toolkits, programming basics, and interactive environments. It then delves into core areas like Git version control, data management, infrastructure, and automation. A dedicated chapter on community is a welcome inclusion, highlighting the importance of collaboration in research software development. ...it succeeds in raising awareness of best practices and encouraging researchers to adopt a more structured approach to software development."" - Nathan Green, Journal of the Royal Statistical Society, Series A