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The practice of reproducible research : case studies and lessons from the data-intensive sciences
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| 자료유형 | 단행본 |
|---|---|
| 서명/저자사항 | The practice of reproducible research : case studies and lessons from the data-intensive sciences/ edited by Justin Kitzes, Daniel Turek, and Fatma Deniz. |
| 개인저자 | Kitzes, Justin,1982- editor, Turek, Daniel,1980- editor, Deniz, Fatma,1983- editor, |
| 발행사항 | Oakland, California: University of California Press, [2018]. |
| 형태사항 | 1 online resource (xxv, 337 pages). |
| 기타형태 저록 | Print version: Practice of reproducible research. Oakland, California : University of California Press, [2018] 9780520294745 |
| ISBN | 9780520967779 0520967771 |
| 서지주기 | Includes bibliographical references and index. |
| 내용주기 | Practicing reproducibility -- High-level case studies -- Low-level case studies. |
| 요약 | "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. |
| 일반주제명 | Reproducible research. Electronic data processing. Research --Statistical methods. Statistics --Data processing. SCIENCE / Study & Teaching. Electronic data processing. Reproducible research. Research --Statistical methods. Statistics --Data processing. SCIENCE / Earth Sciences / General |
| 언어 | 영어 |
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