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書名 The practice of reproducible research : case studies and lessons from the data-intensive sciences / edited by Justin Kitzes, Daniel Turek, Fatma Deniz
出版項 Oakland, California : University of California Press, 2018
國際標準書號 9780520294745
book jacket
館藏地 索書號 處理狀態 OPAC 訊息 條碼
 資訊所圖書室圖書區  J1 P8957 c.9780  到期 02-08-21    30330000232608
說明 Text txt rdacontent/ger
ohne Hilfsmittel zu benutzen n rdamedia/ger
Band nc rdacarrier/ger
附註 Includes bibliographical references and index
Practicing reproducibility
High-level case studies
Low-level case studies
"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
鏈接 Erscheint auch als: Online-Ausgabe Practice of reproducible research Oakland, California : University of California Press, [2018]
主題 Reproducible research
Electronic data processing
Research -- Statistical methods
Statistics -- Data processing
Alt Author Kitzes, Justin. HerausgeberIn. Editor.
Turek, Daniel. HerausgeberIn. Editor.
Deniz, Fatma. HerausgeberIn. Editor.
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