Open science is prompting wide efforts to make data from research available for broader use. However, sharing data is complicated by important protections on the data (e.g., protections of privacy and intellectual property). The spectrum of options existing between data needing to be fully open access and data that simply cannot be shared at all is quite limited. This paper puts forth a generalized remote secure enclave as a socio-technical framework consisting of policies, human processes, and technologies that work hand in hand to enable controlled access and use of restricted data. Based on experience in implementing the enclave for computational, analytical access to a massive collection of in-copyright texts, we discuss the synergies and trade-offs that exist between software components and policy and process components in striking the right balance between safety for the data, ease of use, and efficiency.

Big Data in the humanities is a new phenomenon that is expected to revolutionize the process of humanities research. The HathiTrust Research Center (HTRC) is a cyberinfrastructure to support humanities research on big humanities data. The HathiTrust Research Center has been designed to make the technology serve the researcher to make the content easy to find, to make the research tools efficient and effective, to allow researchers to customize their environment, to allow researchers to combine their own data with that of the HTRC, and to allow researchers to contribute tools. The architecture has multiple layers of abstraction providing a secure, scalable, extendable, and generalizable interface for both human and computational users.

Big Data in the humanities is a new phenomenon that is expected to revolutionize the process of humanities research. The HathiTrust Research Center (HTRC) is a cyberinfrastructure to support humanities research on big humanities data. The HathiTrust Research Center has been designed to make the technology serve the researcher to make the content easy to find, to make the research tools efficient and effective, to allow researchers to customize their environment, to allow researchers to combine their own data with that of the HTRC, and to allow researchers to contribute tools. The architecture has multiple layers of abstraction providing a secure, scalable, extendable, and generalizable interface for both human and computational users.

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