The Big Data Agenda
eBook - ePub

The Big Data Agenda

Data Ethics and Critical Data Studies

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

The Big Data Agenda

Data Ethics and Critical Data Studies

About this book

This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis. The book assesses in detail one big data research area: biomedical studies, focused on epidemiological surveillance. Specific case studies explore how big data have been used in academic work.

The Big Data Agenda concludes that the use of big data in research urgently needs to be considered from the vantage point of ethics and social justice. Drawing upon discourse ethics and critical data studies, Richterich argues that entanglements between big data research and technology/ internet corporations have emerged. In consequence, more opportunities for discussing and negotiating emerging research practices and their implications for societal values are needed.

An electronic version of this book is freely available, thanks to the support of libraries working with Knowledge Unlatched. KU is a collaborative initiative designed to make high quality books Open Access for the public good. More information about the initiative and details about KU's Open Access programme can be found at www.knowledgeunlatched.org.

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Yes, you can access The Big Data Agenda by Annika Richterich in PDF and/or ePUB format, as well as other popular books in Social Sciences & Criminology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Acknowledgments
  5. Contents
  6. Chapter 1: Introduction
  7. Chapter 2: Examining (Big) Data Practices and Ethics
  8. Chapter 3: Big Data: Ethical Debates
  9. Chapter 4: Big Data in Biomedical Research
  10. Chapter 5: Big Data-Driven Health Surveillance
  11. Chapter 6: Emerging (Inter-)Dependencies and their Implications
  12. Notes
  13. References
  14. Index