National Science Foundation: NSF supports development of new nationwide data storage network

National Science Foundation: NSF supports development of new nationwide data storage network. “The National Science Foundation (NSF) is announcing a $1.8 million grant for the initial development of a data storage network over the next two years. A collaborative team will combine their expertise, facilities and research challenges to develop the Open Storage Network (OSN). OSN will enable academic researchers across the nation to work with and share their data more efficiently than ever before.”

GuideStar: Introducing Discounted GuideStar Data Sets for Academic Users

GuideStar: Introducing Discounted GuideStar Data Sets for Academic Users. “For more than a decade, GuideStar has supported academic exploration of the nonprofit sector. GuideStar for Education gives collegiate faculty, students, and unsponsored researchers free or discounted access to GuideStar Premium…. Today we’re excited to launch another resource for academic users: deeply discounted data sets that enable faculty, students, and researchers to look at the sector as a whole.”

Next City: New York City Debuts Regional Mapping Tool

Next City: New York City Debuts Regional Mapping Tool. “New York City’s planning department has launched a new mapping tool that harnesses population, housing and economic data and makes it available for exploring by the general public. The Metro Region Explorer offers trending data on the city’s greater metropolitan region: the five boroughs, upstate New York and Long Island, as well as parts of New Jersey and Connecticut.”

EurekAlert: New software, HyperTools, transforms complex data into visualizable shapes

EurekAlert: New software, HyperTools, transforms complex data into visualizable shapes . “Every dataset in the observable universe has a fundamental geometry or shape to it, but that structure can be highly complicated. To make it easier to visualize complicated datasets, a Dartmouth research team has created HyperTools– an open-source software package that leverages a suite of mathematical techniques to gain intuitions about high-dimensional datasets through the underlying geometric structures they reflect. The findings are published in the Journal of Machine Learning Research.”