Data Book

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A01=Meredith Zozus
academic data stewardship
advanced data management strategies
Author_Meredith Zozus
Category=JMB
Category=PBT
Category=UN
Change Data Values
Context Diagram
Data Cleaning
data collection
Data Collection Form
Data Elements
Data Entry Screens
data errors
data management
Data Management Plan
Data Management Quality System
data quality
Data Storage Structures
Discrete Data Elements
Double Data Entry
electronic data capture
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Federal Information Security Management Act
Identify Data Discrepancies
Identifying Data Elements
Inactive Phase
Keystroke Level Modeling
NSF Directorate
Observational Unit
quantitative research methods
reproducible research practices
Research Data Management
research data quality assurance
research workflow optimization
scientific data
scientific data integrity
Stevens's Scales
Stevens’s Scales
Supporting Research Conclusions
Undergraduate Research Assistants
Vice Versa
Workflow Diagrams
Workflow Perspective

Product details

  • ISBN 9780367736088
  • Weight: 544g
  • Dimensions: 156 x 234mm
  • Publication Date: 18 Dec 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

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.

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