Show simple item record Plale, Beth Prakash, Atul McDonald, Robert 2015-02-04T16:57:05Z 2015-02-04T16:57:05Z
dc.description.abstract Digital texts with access and use protections form a unique and fast growing collection of materials. Growing equally quickly is the development of text and data mining algorithms that process large text-based collections for purposes of exploring the content computationally. There is a strong need for research to establish the foundations for secure computational and data technologies that can ensure a non-consumptive environment for use-protected texts such as the copyrighted works in the HathiTrust Digital Library. Developing a secure computation and data environment for non-consumptive research for the HathiTrust Research Center is funded through a grant from the Alfred P. Sloan Foundation. In this research, researchers at HTRC and the University of Michigan are developing a “data capsule framework” that is founded on a principle of “trust but verify”. The project has resulted in a novel experimental framework that permits analytical investigation of a corpus but prohibits data from leaving the capsule. The HTRC Data Capsule is both a system architecture and set of policies that enable computational investigation over the protected content of the HT digital repository that is carried out and controlled directly by a researcher. en
dc.description.sponsorship Alfred P. Sloan Foundation en
dc.language.iso en en
dc.subject HathiTrust Research Center, HTRC Data Capsule, non-consumptive research en
dc.title The Data Capsule for Non-Consumptive Research: Final Report en
dc.type Technical Report en
dc.altmetrics.display true en

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