The practice of reproducible research : case studies and lessons from the data-intensive sciences / edited by Justin Kitzes, Daniel Turek, and Fatma Deniz.

Format:

Book

Contributor:

Kitzes, Justin, 1982- editor.

Turek, Daniel, 1980- editor.

Deniz, Fatma, 1983- editor.

Language:

English

Subjects (All):

Reproducible research.

Electronic data processing.

Research--Statistical methods.

Research.

Statistics--Data processing.

Statistics.

Physical Description:

xxv, 337 pages : illustrations ; 24 cm

Place of Publication:

Oakland, California : University of California Press, [2018]

Summary:

"The Practice of Reproducible Research presents concrete examples of how researchers in the data-intensive sciences are working to improve the reproducibility of their research projects. Each of the thirty-one case studies in this volume describes the workflow that an author used to complete a real-world research project, highlighting how particular tools, ideas, and practices have been combined to support reproducibility. Authors emphasize the very practical how, rather than the why or what, of conducting reproducible research. Part 1 contains an accessible introduction to reproducible research, a basic reproducible research project template, and a synthesis of lessons learned from across the thirty-one case studies. Parts 2 and 3 focus on the case studies. The Practice of Reproducible Research is an invaluable resource for students and researchers who wish to better understand the practice of data-intensive sciences and learn how to make their own research more reproducible."--Provided by publisher.

Contents:

Practicing reproducibility

High-level case studies

Low-level case studies.

Notes:

Includes bibliographical references and index.

Other Format:

Online version: Practice of reproducible research

ISBN:

9780520294745

0520294742

9780520294752

0520294750

OCLC:

975364966