Safe Open Science for Restricted Data

Abstract

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.

Privacy Impact Assessments for Digital Repositories

“…Second, there is a need to continue to address the risks and rewards of "Big Data" for social science research (Mills, 2018), especially the extent to Mhaidli et al | 13 which increased computational computing capabilities undermine statistical-method-grounded methods for protecting data privacy and confidentiality. Finally, there are possible avenues of research in understanding of restricted social science data archives from a "socio-technical framework" perspective (Plale et al, 2019). The Researcher Passport described in this paper is an example of such a "socio-technical framework" through which one can understand restricted social science data archives.…”

The TRANSCOMP Dataset of Literary Translations from 120 Languages and a Parallel Collection of English-language Originals

“…We then processed the files to be extracted as word frequency data. Working within the HTRC capsule (Plale et al, 2019), we first downloaded individual page files using the preloaded functions in the HTRC Workset Toolkit to remove running page headers and footers. For each volume, we concatenated individual page files into a single document.…”

The Uptake of Open Science: Mapping the Results of a Systematic Literature Review

“…• Licensed, restricted, and controlled access to particular data, complying with Personal Data Protection and Intellectual Property laws and regulations [17][18][19][20].…”

“…• OS data has intrinsic (inherent) value, some data has the potential to be commercially valuable [20].…”