Where is the human in the data? A guide to ethical data use.

Area of Science:

• Data Science
• Ethics
• Information Science

Background:

• Big data is deeply integrated into modern life, impacting communication, healthcare, and services.
• The pervasive nature of big data necessitates a nuanced approach to ethical considerations.
• Existing frameworks may not adequately address the diverse applications of big data.

Purpose of the Study:

• To explore the ethical challenges posed by the ubiquitous use of big data.
• To propose a foundational set of ethical values for responsible data stewardship.
• To provide guidance for navigating the complexities of big data ethics.

Main Methods:

• Conceptual analysis of big data's societal integration.
• Review of existing ethical frameworks in data management.
• Development of a proposed set of seven ethical values.

Main Results:

• Identified the lack of a universal framework for big data ethics.
• Proposed seven key ethical values for responsible data use.
• Highlighted the diversity of ethical considerations across different big data applications.

Conclusions:

• A single ethical framework is insufficient for the multifaceted domain of big data.
• The proposed seven ethical values offer a starting point for responsible data governance.
• Ethical big data practices are crucial for maintaining public trust and societal well-being.