DataSHIELD – New Directions and Dimensions Article Swipe
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.5334/dsj-2017-021
In disciplines such as biomedicine and social sciences, sharing and combining sensitive individual-level data is often prohibited by ethical-legal or governance constraints and other barriers such as the control of intellectual property or the huge sample sizes. DataSHIELD (Data Aggregation Through Anonymous Summary-statistics from Harmonised Individual-levEL Databases) is a distributed approach that allows the analysis of sensitive individual-level data from one study, and the co-analysis of such data from several studies simultaneously without physically pooling them or disclosing any data. \nFollowing initial proof of principle, a stable DataSHIELD platform has now been implemented in a number of epidemiological consortia. This paper reports three new applications of DataSHIELD including application to post-publication sensitive data analysis, text data analysis and privacy protected data visualisation. Expansion of DataSHIELD analytic functionality and application to additional data types demonstrate the broad applications of the software beyond biomedical sciences.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5334/dsj-2017-021
- http://datascience.codata.org/articles/10.5334/dsj-2017-021/galley/667/download/
- OA Status
- gold
- Cited By
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- References
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- Related Works
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- OpenAlex ID
- https://openalex.org/W2606335860
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2606335860Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5334/dsj-2017-021Digital Object Identifier
- Title
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DataSHIELD – New Directions and DimensionsWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2017Year of publication
- Publication date
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2017-04-19Full publication date if available
- Authors
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Rebecca Wilson, O. W. Butters, Demetris Avraam, James Baker, Jonathan Tedds, Andrew Turner, Madeleine J. Murtagh, Paul R. BurtonList of authors in order
- Landing page
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https://doi.org/10.5334/dsj-2017-021Publisher landing page
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https://datascience.codata.org/articles/10.5334/dsj-2017-021/galley/667/download/Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://datascience.codata.org/articles/10.5334/dsj-2017-021/galley/667/download/Direct OA link when available
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Span (engineering), Computer science, Life span, Engineering, Medicine, Gerontology, Civil engineeringTop concepts (fields/topics) attached by OpenAlex
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79Total citation count in OpenAlex
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2025: 12, 2024: 13, 2023: 8, 2022: 13, 2021: 13Per-year citation counts (last 5 years)
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60Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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