The data book : collection and management of research data
著者
書誌事項
The data book : collection and management of research data
（Interdisciplinary statistics）（A Chapman & Hall book）
CRC Press, c2020
- : pbk
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注記
"First issued in paperback 2020"--T.p. verso
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
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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