Book contents
- Frontmatter
- Contents
- Preface
- Part I Background
- Chapter 1 A whirlwind tour of network science
- Chapter 2 Network data across fields
- Chapter 3 Data ethics
- Chapter 4 Primer
- Part II Applications, tools, and tasks
- Interlude — Good practices for scientific computing
- Part III Fundamentals
- Conclusion
- Bibliography
- Index
Chapter 3 - Data ethics
from Part I - Background
Published online by Cambridge University Press: 06 June 2024
- Frontmatter
- Contents
- Preface
- Part I Background
- Chapter 1 A whirlwind tour of network science
- Chapter 2 Network data across fields
- Chapter 3 Data ethics
- Chapter 4 Primer
- Part II Applications, tools, and tasks
- Interlude — Good practices for scientific computing
- Part III Fundamentals
- Conclusion
- Bibliography
- Index
Summary
Scientists must be ethical and conscientious, always. Data bring with them much promise to improve our understanding of the world around us, and improve our lives within it. But there are risks as well. Scientists must understand the potential harms of their work, and follow norms and standards of conduct to mitigate those concerns. But network data are different. As we discuss in this chapter, network data are some of the most important but also most sensitive data. Before we dive into the data, we discuss the ethics of data science in general and network data in specific. The ethical issues that we face often do not have clear solutions but require thoughtful approaches and understanding complex contexts and difficult circumstances.
Keywords
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- Chapter
- Information
- Working with Network DataA Data Science Perspective, pp. 27 - 38Publisher: Cambridge University PressPrint publication year: 2024