Cover for Data Literacy

Data Literacy

How to Make your Experiments Robust and Reproducible

Book2017

Author:

Neil R. Smalheiser

Data Literacy

How to Make your Experiments Robust and Reproducible

Book2017

 

Cover for Data Literacy

Author:

Neil R. Smalheiser

About the book

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Book description

Data Literacy: How to Make Your Experiments Robust and Reproducible provides an overview of basic concepts and skills in handling data, which are common to diverse areas of science ... read full description

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  2. Book chapterNo access

    Introduction

    Page xix

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    Postscript: Beyond Data Literacy

    Page 251

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    Learned Concepts

    Page 253

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    Index

    Pages 255-261

About the book

Description

Data Literacy: How to Make Your Experiments Robust and Reproducible provides an overview of basic concepts and skills in handling data, which are common to diverse areas of science. Readers will get a good grasp of the steps involved in carrying out a scientific study and will understand some of the factors that make a study robust and reproducible.The book covers several major modules such as experimental design, data cleansing and preparation, statistical analysis, data management, and reporting. No specialized knowledge of statistics or computer programming is needed to fully understand the concepts presented.

This book is a valuable source for biomedical and health sciences graduate students andresearchers, in general, who are interested in handling data to make their research reproducibleand more efficient.

Data Literacy: How to Make Your Experiments Robust and Reproducible provides an overview of basic concepts and skills in handling data, which are common to diverse areas of science. Readers will get a good grasp of the steps involved in carrying out a scientific study and will understand some of the factors that make a study robust and reproducible.The book covers several major modules such as experimental design, data cleansing and preparation, statistical analysis, data management, and reporting. No specialized knowledge of statistics or computer programming is needed to fully understand the concepts presented.

This book is a valuable source for biomedical and health sciences graduate students andresearchers, in general, who are interested in handling data to make their research reproducibleand more efficient.

Key Features

  • Presents the content in an informal tone and with many examples taken from the daily routine at laboratories
  • Can be used for self-studying or as an optional book for more technical courses
  • Brings an interdisciplinary approach which may be applied across different areas of sciences
  • Presents the content in an informal tone and with many examples taken from the daily routine at laboratories
  • Can be used for self-studying or as an optional book for more technical courses
  • Brings an interdisciplinary approach which may be applied across different areas of sciences

Details

ISBN

978-0-12-811306-6

Language

English

Published

2017

Copyright

Copyright © 2017 Elsevier Inc. All rights reserved.

Imprint

Academic Press

Authors

Neil R. Smalheiser

Associate Professor in Psychiatry, Department of Psychiatry and Psychiatric Institute, University of Illinois School of Medicine, USA