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.
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.
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.
Inhaltsangabe
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
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
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