NSF hopes big data will finger grantees not reporting foreign support

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The National Science Foundation will soon begin crunching several large databases to see whether there are scientists who failed to disclose ties to foreign institutions in their grant applications.

The National Science Foundation will soon begin crunching several large databases to see whether there are scientists who failed to disclose ties to foreign institutions in their grant applications. It is arguably the boldest of several steps federal research agencies are taking to comply withthat aims to boost U.S. technological innovation–and prevent China and other foreign governments from pilfering federally funded research.

The CHIPS act enshrines some of those practices into law as well as requiring agencies to assess the types of research most vulnerable to theft, provide more training to scientists on how to reduce security risks, and gather more information from grantee institutions. It also bars scientists employed by the U.S.

“Very often the researcher will acknowledge one of these talent plans in their paper because it’s a requirement in their contract to do so,” says Rebecca Keiser, head of NSF’s office of research security. “So now we’ll be able to find that through data analytics.” That has prompted some anxiety among academic researchers. The Council of Governmental Relations , which tracks the impact of federal regulations on academic research for its 200-plus member institutions, has expressed concern about who would have access to the data files and how NSF would validate their accuracy. “We’re still waiting to learn the rules of the road that apply to this new system of records,” says COGR’s Kristin West.

That tool could also be a boon to scientists, Keiser says, by helping them identify other groups doing similar research and opening the door to possible collaborations. As Keiser imagines it, “We might call the university and say, ‘Hey, the analytics found this really high-impact project you may not know about. Isn’t that awesome?’”

 

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