Table 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.