The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts

Area of Science:

• Computer Science and Information Systems
• Ethics
• Sociology

Background:

• The exponential growth of data collection and analysis, termed 'Big Data', presents significant societal and ethical challenges.
• Understanding of the ethical implications of Big Data, particularly in sensitive fields like biomedicine, lags behind technological advancements.
• Existing literature on Big Data ethics is fragmented, necessitating a comprehensive synthesis to guide future research and regulation.

Purpose of the Study:

• To systematically analyze academic literature on the ethical implications of Big Data.
• To provide a thematic narrative identifying key ethical concerns and gaps in current understanding.
• To offer a critical framework for the ethical assessment and governance of Big Data practices, with a focus on biomedical applications.

Main Methods:

• A meta-analysis of academic literature concerning the ethical implications of Big Data was conducted.
• Literature was systematically reviewed to identify and categorize recurring ethical themes and concerns.
• The analysis focused on identifying critical gaps and suggesting areas for future research and ethical consideration.

Main Results:

• Eleven key areas of ethical concern were identified, including informed consent, privacy, data ownership, epistemology, and 'Big Data Divides'.
• Specific attention was given to biomedical Big Data due to the sensitivity of health information.
• Identified gaps include group-level harms, the role of epistemology, evolving fiduciary relationships, distinctions between academic and commercial data practices, intellectual property, and access rights for data subjects.

Conclusions:

• The study provides a comprehensive framework for understanding and addressing the ethical challenges posed by Big Data.
• It highlights the urgent need for closer scrutiny of emerging ethical issues and the development of robust governance strategies.
• The findings aim to guide ethicists, data scientists, regulators, and other stakeholders in navigating the complex ethical landscape of Big Data.