
The Data Book
Description
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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.
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Person
Content
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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