
The Data Book
Collection and Management of Research Data
Meredith Zozus(Author)
Chapman & Hall/CRC (Publisher)
1st Edition
Published on 12. July 2017
Book
Hardback
354 pages
978-1-4987-4224-5 (ISBN)
Description
The Data Book: Collection and Management of Research Data is the first practical book written for researchers and research team members covering how to collect and manage data for research. The book covers basic types of data and fundamentals of how data grow, move and change over time. Focusing on pre-publication data collection and handling, the text illustrates use of these key concepts to match data collection and management methods to a particular study, in essence, making good decisions about data.
The first section of the book defines data, introduces fundamental types of data that bear on methodology to collect and manage them, and covers data management planning and research reproducibility. The second section covers basic principles of and options for data collection and processing emphasizing error resistance and traceability. The third section focuses on managing the data collection and processing stages of research such that quality is consistent and ultimately capable of supporting conclusions drawn from data. The final section of the book covers principles of data security, sharing, and archival. This book will help graduate students and researchers systematically identify and implement appropriate data collection and handling methods.
The first section of the book defines data, introduces fundamental types of data that bear on methodology to collect and manage them, and covers data management planning and research reproducibility. The second section covers basic principles of and options for data collection and processing emphasizing error resistance and traceability. The third section focuses on managing the data collection and processing stages of research such that quality is consistent and ultimately capable of supporting conclusions drawn from data. The final section of the book covers principles of data security, sharing, and archival. This book will help graduate students and researchers systematically identify and implement appropriate data collection and handling methods.
More details
Series
Language
English
Place of publication
Oxford
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Illustrations
30 s/w Abbildungen
30 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 24 mm
Weight
696 gr
ISBN-13
978-1-4987-4224-5 (9781498742245)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Book
12/2020
1st Edition
Chapman & Hall/CRC
€75.20
Shipment within 15-20 days

E-Book
07/2017
1st Edition
Chapman & Hall/CRC
€68.49
Available for download

E-Book
07/2017
Chapman & Hall/CRC
€68.49
Available for download
Person
Meredith Zozus is an Associate Professor in the Department of Biomedical Informatics at the University of Arkansas for Medical Sciences. She has spent more than two decades managing data for research and studying methodology for doing so. She has worked in data management for life sciences, engineering, and biomedical research. She received her undergraduate and master's degrees in Nuclear Engineering at North Carolina State University, led data management operations at the Duke Clinical Research Institute, and later Clinical Research Informatics at the Duke Translational Medicine Institute. Dr. Zozus received her PhD in Health Informatics at the University of Texas at Houston School of Biomedical Informatics.
Author
University of Arkansas for Medical Sciences Department of Biomedical Informatics
Content
Collecting and Managing Research Data
Defining Data and Information
Deciding, Defining, and Documenting Data to be Collected
Data Management Planning
Fundamental Dynamic Aspects of Data
Data Observation and Recording
Good Data Recording Practices Applicable to Man and Machine
Getting Data Into Electronic Format
Data Structures
Data Processing
Designing and Documenting Data Flow and Workflow
Selecting Software for Collecting and Managing Data
The Data Management Quality System
Calculating Time and Cost for Data Collection and Processing
Research Data Security
Data Ownership, Stewardship, and Sharing
Data Archival
Glossary
Defining Data and Information
Deciding, Defining, and Documenting Data to be Collected
Data Management Planning
Fundamental Dynamic Aspects of Data
Data Observation and Recording
Good Data Recording Practices Applicable to Man and Machine
Getting Data Into Electronic Format
Data Structures
Data Processing
Designing and Documenting Data Flow and Workflow
Selecting Software for Collecting and Managing Data
The Data Management Quality System
Calculating Time and Cost for Data Collection and Processing
Research Data Security
Data Ownership, Stewardship, and Sharing
Data Archival
Glossary