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The Data Book: Chapman & Hall/CRC Interdisciplinary Statistics

Autor Zozus, Meredith Nahm
en Limba Engleză Hardback – 28 apr 2017

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.

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Specificații

ISBN-13: 9781498742245
ISBN-10: 1498742246
Pagini: 256
Dimensiuni: 241 x 164 x 25 mm
Greutate: 0.75 kg
Editura: Taylor & Francis
Seria Chapman & Hall/CRC Interdisciplinary Statistics


Cuprins


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





Notă biografică

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.