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

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Deniz Fatma The practice of reproducible research: case studies and lessons from the data-intensive sciences
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The practice of reproducible research: case studies and lessons from the data-intensive sciences: summary, description and annotation

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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.

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The Practice of Reproducible Research The Practice of Reproducible Research - photo 1
The Practice of Reproducible Research
The Practice of Reproducible Research
Case Studies and Lessons from the Data-Intensive Sciences

EDITED BY

Justin Kitzes, Daniel Turek, and Fatma Deniz

Picture 2

UNIVERSITY OF CALIFORNIA PRESS

University of California Press, one of the most distinguished university presses in the United States, enriches lives around the world by advancing scholarship in the humanities, social sciences, and natural sciences. Its activities are supported by the UC Press Foundation and by philanthropic contributions from individuals and institutions. For more information, visit www.ucpress.edu.

University of California Press

Oakland, California

2018 by The Regents of the University of California

Library of Congress Cataloging-in-Publication Data

Names: Kitzes, Justin, 1982 editor. | Turek, Daniel, 1980 editor. | Deniz, Fatma, 1983 editor.

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

Description: Oakland, California : University of California Press, [2018] | Includes bibliographical references and index.

Identifiers: LCCN 2017028437 (print) | LCCN 2017035680 (ebook) | ISBN 9780520967779 (epub) | ISBN 9780520294745 (cloth : alk. paper) | ISBN 9780520294752 (pbk. : alk. paper)

Subjects: LCSH : Reproducible research. | Electronic data processing. | ResearchStatistical methods. | StatisticsData processing.

Classification: LCC Q 180.55. S 7 (ebook) | LCC Q 180.55. S 7 P 73 2018 (print) | DDC 507.2/1dc23

LC record available at https://lccn.loc.gov/2017028437

Manufactured in the United States of America

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Contents

Philip B. Stark

Justin Kitzes

Ariel Rokem, Ben Marwick, and Valentina Staneva

Justin Kitzes

Daniel Turek and Fatma Deniz

Kathryn Huff

Karthik Ram and Ben Marwick

Ariel Rokem and Fernando Chirigati

Anthony Arendt, Christian Kienholz, Christopher Larsen, Justin Rich, and Evan Burgess

Pablo Barber

Carl Boettiger

Garret Christensen

Jan Gukelberger and Matthias Troyer

Chris Hartgerink

Chris Holdgraf

David Holland and Denise Holland

Justin Kitzes

Andy Krause and Hossein Estiri

Jos Manuel Magallanes

Ben Marwick

Olivier Mesnard and Lorena A. Barba

K. Jarrod Millman, Kellie Ottoboni, Naomi A.P. Stark, and Philip B. Stark

K.A.S. Mislan

Kellie Ottoboni

Karthik Ram

Ariel Rokem

Rachel Slaybaugh

Daniela Ushizima

Zhao Zhang

Kyle Barbary

Fatma Deniz

Konrad Hinsen

Kathryn Huff

Randall J. LeVeque

Tara Madhyastha, Natalie Koh, and Mary K. Askren

Gilberto Pastorello

Russell Poldrack

Valentina Staneva

Daniel Turek

List of Contributors

ANTHONY ARENDT

Applied Physics Laboratory and eScience Institute

University of Washington

Seattle, Washington, United States

MARY K. ASKREN

Integrated Brain Imaging Center, Department of Radiology

University of Washington

Seattle, Washington, United States

LORENA A. BARBA

Department of Mechanical and Aerospace Engineering

George Washington University

Washington, District of Columbia, United States

KYLE BARBARY

Berkeley Center for Cosmological Physics and Berkeley Institute for Data Science

University of California, Berkeley

Berkeley, California, United States

PABLO BARBER

School of International Relations

University of Southern California

Los Angeles, California, United States

CARL BOETTIGER

Department of Environmental Science, Policy and Management

University of California, Berkeley

Berkeley, California, United States

EVAN BURGESS

Geography Department

University of Utah

Salt Lake City, Utah, United States

FERNANDO CHIRIGATI

Tandon School of Engineering

New York University

New York, New York, United States

GARRET CHRISTENSEN

Berkeley Initiative for Transparency in the Social Sciences and Berkeley Institute for Data Science

University of California, Berkeley

Berkeley, California, United States

FATMA DENIZ

International Computer Science Institute, Helen Wills Neuroscience Institute, and Berkeley Institute for Data Science

University of California, Berkeley

Berkeley, California, United States

HOSSEIN ESTIRI

Harvard Medical School

Boston, Massachusetts, United States

JAN GUKELBERGER

Institute for Theoretical Physics

ETH Zurich

Zrich, Switzerland

CHRIS HARTGERINK

Department of Methodology and Statistics

Tilburg University

Tilburg, Netherlands

KONRAD HINSEN

Centre de Biophysique Molculaire

Centre national de la recherche scientifique

Orlans, France

CHRIS HOLDGRAF

Helen Wills Neuroscience Institute and Berkeley Institute for Data Science

University of California, Berkeley

Berkeley, California, United States

DAVID HOLLAND

Courant Institute of Mathematical Sciences

New York University

New York, New York, United States

DENISE HOLLAND

New York University

New York, New York, United States

KATHRYN HUFF

Nuclear Engineering Department and Berkeley Institute for Data Science

University of California, Berkeley

Berkeley, California, United States

CHRISTIAN KIENHOLZ

Natural Sciences Research Lab

University of Alaska Southeast

Juneau, Alaska, United States

JUSTIN KITZES

Department of Biological Sciences

University of Pittsburgh

Pittsburgh, Pennsylvania, United States

NATALIE KOH

Integrated Brain Imaging Center, Department of Radiology

University of Washington

Seattle, Washington, United States

ANDY KRAUSE

Melbourne School of Design

University of Melbourne

Melbourne, Victoria, Australia

CHRISTOPHER LARSEN

Geophysical Institute

University of Alaska Fairbanks

Fairbanks, Alaska, United States

RANDALL J. LEVEQUE

Department of Applied Mathematics

University of Washington

Seattle, Washington, United States

TARA MADHYASTHA

Integrated Brain Imaging Center, Department of Radiology

University of Washington

Seattle, Washington, United States

JOS MANUEL MAGALLANES

Evans School of Public Policy and Governance and eScience Institute

University of Washington

Seattle, Washington, United States;

Department of Social Sciences

Catholic University of Peru

Lima, Peru

BEN MARWICK

Department of Anthropology

University of Washington

Seattle, Washington, United States

OLIVIER MESNARD

Department of Mechanical and Aerospace Engineering

George Washington University

Washington, District of Columbia, United States

K. JARROD MILLMAN

Department of Statistics

University of California, Berkeley

Berkeley, California, United States

K.A.S. MISLAN

School of Oceanography and eScience Institute

University of Washington

Seattle, Washington, United States

KELLIE OTTOBONI

Department of Statistics

University of California, Berkeley

Berkeley, California, United States

GILBERTO PASTORELLO

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