This paper argues that we should learn from practice: that researchers working with open and online datasets are converging around norms for responsible research practice that can help guide IRBs or alternative arrangements interested in regulating research ethics.
Trusting Big Data Research
by Neil Richards and Woodrow Hartzog
Although it might puzzle or even infuriate data scientists, suspicion about big data is understandable.
No Encore for Encore? Ethical questions for web-based censorship measurement
by Arvind Narayanan and Bendert Zevenbergen
A pair of computer scientists recently developed a clever way to measure Internet filtering and censorship worldwide, including countries such as China and Iran.
Big Data Sustainability – An Environmental Management Systems Analogy
by Dennis D. Hirsch and Jonathan H. King
At this formative moment of mass big data adoption, we can learn from environmental management practices developed to manage negative externalities of the industrial revolution.
Towards a New Ethical and Regulatory Framework for Big Data Research
by Effy Vayena, Urs Gasser, Alexandra Wood, David R. O’Brien, and Micah Altman
Vast quantities of data about individuals are increasingly being created by services such as mobile apps and online social networks and through methods such as DNA sequencing. These data are quite rich, containing a large number of fine-grained data points related to human biology, characteristics, behaviors, and relationships over time.