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This book fills a gap by covering the principles of data and information essential for every researcher. These topics are firmly planted in existing graduate curricula, and covered in the research methods courses required of most master's level programs, yet a comprehensive and authoritative text did not exist until now.
List of contents
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
About the author
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.
Summary
This book fills a gap by covering the principles of data and information essential for every researcher. These topics are firmly planted in existing graduate curricula, and covered in the research methods courses required of most master’s level programs, yet a comprehensive and authoritative text did not exist until now.
