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010 a| 2017035680;

020 a| 9780520967779 (epub);

020 z| 9780520294745 (cloth : alk. paper);

020 z| 9780520294752 (pbk. : alk. paper);

035 a| (WaSeSS)ssj0001858976;

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050 00 a| Q180.55.S7;

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245 04 a| The practice of reproducible researchh| [electronic resource] :b| case studies and lessons from the data-intensive sciences /c| edited by Justin Kitzes, Daniel Turek, and Fatma Deniz.;

260 a| Oakland, California :b| University of California Press,c| [2018];

300 a| 1 online resource.;

504 a| Includes bibliographical references and index.;

505 0 a| Practicing reproducibility -- High-level case studies -- Low-level case studies.;

506 a| Available only to authorized users.;

520 a| "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.;

538 a| Mode of access: World Wide Web;

588 a| Description based on print version record and CIP data provided by publisher.;

650 0 a| Reproducible research.?| UNAUTHORIZED;

650 0 a| Electronic data processing.=| ^A427280;

650 0 a| Researchx| Statistical methods.=| ^A1014122;

650 0 a| Statisticsx| Data processing.=| ^A19191;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Kitzes, Justin,d| 1982-?| UNAUTHORIZED;

700 1 a| Turek, Daniel,d| 1980-?| UNAUTHORIZED;

700 1 a| Deniz, Fatma,d| 1983-?| UNAUTHORIZED;

776 08 i| Print version:t| Practice of reproducible researchd| Oakland, California : University of California Press, [2018]z| 9780520294745w| (DLC) 2017028437;

856 40 z| Full text available from eBooks on EBSCOhostu| https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1591115&scope=site&custid=s5822723&authtype=ip,shib;

949 a| CLICK ON WEB ADDRESSw| ASISh| JOYNER188;

949 a| CLICK ON WEB ADDRESSw| ASISh| HSL77;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6778502-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 7/19/2026x| EBOOKz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6778502-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 7/19/2026x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6778502-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 7/19/2026x| EBOOKz| JERESOURCE;

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

Other author	Kitzes, Justin, 1982-
Other author	Turek, Daniel, 1980-
Other author	Deniz, Fatma, 1983-
Format	Electronic
Publication Info	Oakland, California : University of California Press, [2018]
Description	1 online resource.
Supplemental Content	Full text available from eBooks on EBSCOhost
Subjects	Reproducible research. Electronic data processing. Research--Statistical methods. Statistics--Data processing.

Contents	Practicing reproducibility -- High-level case studies -- Low-level case studies.
Abstract	"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.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Source of description	Description based on print version record and CIP data provided by publisher.
Issued in other form	Print version: Practice of reproducible research Oakland, California : University of California Press, [2018] 9780520294745
Genre/form	Electronic books.
LCCN	2017035680
ISBN	9780520967779 (epub)

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

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