Research Topic · Peer-Reviewed

Big Data Ethics

Big data ethics refers to the responsible collection, use and storage of large amounts of data. It is important in today’s society because it addresses growing concerns about privacy, user autonomy and data accuracy, while enabling organizations to utilize big data in an ethical and responsible way. By implementing …

📚 0 peer-reviewed articles cited 🔖 ISSN 2768-0207 🗓 Reviewed June 2026

Overview

Big data ethics refers to the responsible collection, use and storage of large amounts of data. It is important in today’s society because it addresses growing concerns about privacy, user autonomy and data accuracy, while enabling organizations to utilize big data in an ethical and responsible way. By implementing ethical principles and practices in big data collection, businesses can ensure that their data-driven decisions are informed by values of fairness, justice, and transparency. In addition, big data ethics challenges organizations to consider how their data collection, use, and storage practices could be a source of harm, particularly to marginalized and vulnerable communities. As such, big data ethics is essential to the social and economic well-being of society, allowing large data sets to be used efficiently and ethically to benefit society, while also protecting privacy and user autonomy.

Research published in this journal

No peer-reviewed research on this exact topic has been published in Big Data Research yet. Browse the journal →

Editorial oversight

Curated from peer-reviewed research published in Big Data Research (ISSN 2768-0207).

Journal editorial board
Professor Shangming Zhou · United Kingdom Professor Hong Lin · United States Dr. Rami H. Al-Rifai · United Arab Emirates

This page summarises published research for orientation; it is not medical or professional advice.