Managing Environmental Data

Principles, Techniques, and Best Practices

Gebonden Engels 2021 9780367654405
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Focused on the mechanics of managing environmental data, this book provides guidelines on how to evaluate data requirements, assess tools and techniques, and implement an effective system. Moving beyond the hypothetical, Gerald Burnette illustrates the decision-making processes and the compromises required when applying environmental principles and practices to actual data.

Managing Environmental Data explains the basic principles of relational databases, discusses database design, explores user interface options, and examines the process of implementation. Best practices are identified during each portion of the process. The discussion is summarized via the development of a hypothetical environmental data management system. Details of the design help establish a common framework that bridges the gap between data managers, users, and software developers.

It is an ideal text for environmental professionals and students. The growth in both volume and complexity of environmental data presents challenges to environmental professionals. Developing better data management skills offers an excellent opportunity to meet these challenges. Gaining knowledge of and experience with data management best practices complements students’ more traditional science education, providing them with the skills required to address complex data requirements.

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Contents

Acknowledgments ..................................................................................................... xi

About the Author ..................................................................................................... xiii

Chapter 1 About This Book .................................................................................. 1

Chapter 2 Data Management Concepts ................................................................. 5

PART 1 Environmental Data Management Principles

Chapter 3 Techniques for Data Management and Their Effectiveness ............... 17

Chapter 4 Relational Database Management System Basics .............................. 43

Chapter 5 Buy, Borrow, or Build: A Decision Guide for Choosing

between an Existing Solution and Creating Something New ................................. 97

Chapter 6 Designing and Building a Database ................................................. 111

Chapter 7 Creating the User Interface(s) .......................................................... 123

Chapter 8 Applying What We’ve Learned ........................................................ 147

PART 2 Environmental Data Management Realities

Chapter 9 Prolog ............................................................................................... 215

Chapter 10 Origins .............................................................................................. 217

Chapter 11 Birth .................................................................................................. 233

Chapter 12 Growth .............................................................................................. 245

Chapter 13 Maturity ............................................................................................ 267

Chapter 14 Rejuvenation ..................................................................................... 283

Appendix A Data Dictionary for the Database Developed in Chapter 8 ......... 303

Appendix B SQL Commands for Creating the Database and

Inserting Data ................................................................................................... 313

Appendix C Bibliography: References and Recommended Reading .............. 337

Index ...................................................................................................................... 339

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