ABSTRACT

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.

chapter 1|3 pages

About This Book

chapter 2|9 pages

Data Management Concepts

part 1|198 pages

Environmental Data Management Principles

chapter 5|14 pages

Buy, Borrow, or Build

A Decision Guide for Choosing between an Existing Solution and Creating Something New

chapter 6|12 pages

Designing and Building a Database

chapter 7|23 pages

Creating the User Interface(s)

chapter 8|66 pages

Applying What We've Learned

part 2|89 pages

Environmental Data Management Realities

chapter 9|2 pages

Prolog

chapter 10|15 pages

Origins

chapter 11|11 pages

Birth

chapter 12|22 pages

Growth

chapter 13|15 pages

Maturity

chapter 14|19 pages

Rejuvenation