Big Data Troves Stay Forbidden to Social Scientists
When scientists publish their research, they also make the underlying data available so the results can be verified by other scientists.
At least that is how the system is supposed to work. But lately social scientists have come up against an exception that is, true to its name, huge.
It is “big data,” the vast sets of information gathered by researchers at companies like Facebook, Google and Microsoft from patterns of cellphone calls, text messages and Internet clicks by millions of users around the world. Companies often refuse to make such information public, sometimes for competitive reasons and sometimes to protect customers’ privacy. But to many scientists, the practice is an invitation to bad science, secrecy and even potential fraud.
The issue came to a boil last month at a scientific conference in Lyon, France, when three scientists from Google and the University of Cambridge declined to release data they had compiled for a paper on the popularity of YouTube videos in different countries.
The chairman of the conference panel — Bernardo A. Huberman, a physicist who directs the social computing group at HP Labs here — responded angrily. In the future, he said, the conference should not accept papers from authors who did not make their data public. He was greeted by applause from the audience.
In February, Dr. Huberman had published a letter in the journal Nature warning that privately held data was threatening the very basis of scientific research. “If another set of data does not validate results obtained with private data,” he asked, “how do we know if it is because they are not universal or the authors made a mistake?”