In this article, we examine a range of longterm data collections, conducted by researchers in social science, in order to identify the characteristics of these programs that drive their unique sets of risks and benefits. We also examine the practices that have been established by social scientists to protect the privacy of data subjects in light of the challenges presented in long-term studies. We argue that many uses of big data, across academic, government, and industry settings, have characteristics similar to those of traditional long-term research studies. In this article, we discuss the lessons that can be learned from longstanding data management practices in research and potentially applied in the context of newly emerging data sources and uses.
The same hackers who hit DNC and Clinton campaign are now apparently spying on high-value travelers via Wi-Fi.
A team led by Duke University, in collaboration with the Census Bureau, has developed new methods that enable people to learn as much as possible from Census data and other government workforce statistics for things like disaster management, policy-making and funding decisions, while guaranteeing that no one can trace the data back to your household or business.