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The practice of reproducible research : case studies and lessons from the data-intensive sciences  Cover Image E-book E-book

The practice of reproducible research : case studies and lessons from the data-intensive sciences

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.

Record details

  • ISBN: 9780520294745
  • ISBN: 0520294742
  • ISBN: 9780520967779
  • ISBN: 0520967771
  • Physical Description: 1 online resource (xxv, 337 pages)
    remote
    Computer data.
  • Publisher: Oakland, California : University of California Press, [2018]

Content descriptions

General Note:
CatMonthString:june.18
Multi-User.
Bibliography, etc. Note: Includes bibliographical references and index.
Formatted Contents Note: Practicing reproducibility -- High-level case studies -- Low-level case studies.
Type of Computer File or Data Note:
Text (HTML), electronic book.
System Details Note:
Mode of access: Internet.
Terms Governing Use and Reproduction Note:
Access requires VIU IP addresses and is restricted to VIU students, faculty and staff.
Access restricted by subscription.
Issuing Body Note:
Made available online by JSTOR.
Source of Description Note:
Online resource; title from PDF title page (EBSCO, viewed February 16, 2018)
Subject: Electronic data processing
Reproducible research
Research -- Statistical methods
Statistics -- Data processing
Electronic data processing
Reproducible research
Research -- Statistical methods
SCIENCE / Earth Sciences / General
SCIENCE / Study & Teaching
Statistics -- Data processing
JSTOR-DDA
Multi-User.
Genre: Electronic books.

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Showing Item 17 of 121

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