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Troves of Personal Data, Forbidden to Researchers | New York Times

PALO ALTO, Calif. — 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?”

He added that corporate control of data could give preferential access to an elite group of scientists at the largest corporations. “If this trend continues,” he wrote, “we’ll see a small group of scientists with access to private data repositories enjoy an unfair amount of attention in the community at the expense of equally talented researchers whose only flaw is the lack of right ‘connections’ to private data.”

Facebook and Microsoft declined to comment on the issue. Hal Varian, Google’s chief economist, said he sympathized with the idea of open data but added that the privacy issues were significant.

“This is one of the reasons the general pattern at Google is to try to release data to everyone or no one,” he said. “I have been working to get companies to release more data about their industries. The idea is that you can provide proprietary data aggregated in a way that poses no threats to privacy.”

The debate will only intensify as large companies with deep pockets do more research about their users. “In the Internet era,” said Andreas Weigend, a physicist and former chief scientist at Amazon, “research has moved out of the universities to the Googles, Amazons and Facebooks of the world.”

But while social and data scientists agree on the importance of replicating experimental results, there is less consensus on what should be done and how to deal with concerns about privacy.

At leading social science journals, there are few clear guidelines on data sharing. “The American Journal of Sociology does not at present have a formal position on proprietary data,” its editor, Andrew Abbott, a sociologist at the University of Chicago, wrote in an e-mail. “Nor does it at present have formal policies enforcing the sharing of data.”

Read full article at http://www.nytimes.com/2012/05/22/science/big-data-troves-stay-forb...

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Comment by Vincent Granville on May 24, 2012 at 11:12pm

There a lot of very interesting, useful and advanced stuff that you can do with data that you gather yourself with web crawlers. A good example is to predict the average lifetime of a Facebook account per user segment (without having access to private Facebook data), see example at http://www.analyticbridge.com/forum/topics/how-do-you-estimate-the-...

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