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Stepping in the Same River Twice – Replication in Biological Research | Yale Scholarship Online
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Stepping in the Same River Twice: Replication in Biological Research

Ayelet Shavit and Aaron M Ellison

Abstract

This book explores the critically important process of replication in biological and biomedical research. Without replication, the trustworthiness of scientific research remains in doubt. Although replication is increasingly recognized as a central problem in many scientific disciplines, repeating the same scientific observations of experiments or reproducing the same set of analyses from existing data is remarkably difficult. This book addresses challenges and solutions for valid replication of research in medicine, ecology, natural history, agriculture, physiology, and computer science. Afte ... More

Keywords: replication, biological research, biomedical research, medicine, ecology, natural history, agriculture, physiology, computer science, validity

Bibliographic Information

Print publication date: 2017 Print ISBN-13: 9780300209549
Published to Yale Scholarship Online: September 2017 DOI:10.12987/yale/9780300209549.001.0001

Authors

Affiliations are at time of print publication.

Ayelet Shavit, editor
Tel Hai College

Aaron M Ellison, editor
Harvard University

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Contents

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Part One ​Introduction Replication Across Disciplines

Chapter One Toward a Taxonomy of Scientific Replication

Ayelet Shavit and Aaron M. Ellison

Part Two Replication in Biology Overviews and Case Studies

The Value of Natural History Collections

Repeatable Monitoring and Observations

Chapter Six Monitoring

Avi Perevolotsky, Naama Berg, Orit Ginzburg, and Ron Drori

Chapter Seven Monitoring the State of Nature in Israel

Ron Drori, Naama Berg, and Avi Perevolotsky

Replication and Experiments

Chapter Ten The Influence of Variation among Replicates on Repeatability

Jacob Pitcovski, Ehud Shahar, and Avigdor Cahaner

Meta-analysis and the Need for Repeatability

The Role of Metadata in Creating Reproducible Research

Chapter Fourteen Replication of Data Analyses

Emery R. Boose and Barbara S. Lerner

Part Three Integration and Synthesis

Epilogue

Ayelet Shavit