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DataSHIELD specifications


Unique identifier OMICS_17992
Alternative name Data Aggregation Through Anonymous Summary-statistics from Harmonised Individual-levEL Databases
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Stability Stable
Maintained No


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Publications for Data Aggregation Through Anonymous Summary-statistics from Harmonised Individual-levEL Databases

DataSHIELD citations


Better governance, better access: practising responsible data sharing in the METADAC governance infrastructure

Hum Genomics
PMCID: 5918902
PMID: 29695297
DOI: 10.1186/s40246-018-0154-6

[…] e data will only ever be made available in secure privacy-protected settings—where researchers travel to the data location (e.g. secure air-gapped data centres) or send the analysis to the data (e.g. DataSHIELD) and receive back only the analytical outcomes []. Use of finite resources such as blood, urine or other biological samples will always require additional oversight for legal (e.g. Human Ti […]


Opportunities and obstacles for deep learning in biology and medicine

PMCID: 5938574
PMID: 29618526
DOI: 10.1098/rsif.2017.0387

[…] sive, reducing sample size and study power.Several technological solutions have been proposed in this direction, allowing access to sensitive data satisfying privacy and legal concerns. Software like DataShield [] and ViPAR [], although not EHR-specific, allow querying and combining of datasets and calculation of summary statistics across remote sites by ‘taking the analysis to the data’. The comp […]


MINDMAP: establishing an integrated database infrastructure for research in ageing, mental well being, and the urban environment

BMC Public Health
PMCID: 5775623
PMID: 29351781
DOI: 10.1186/s12889-018-5031-7

[…] be analysed by MINDMAP investigators, others have restricted data access to aggregate-level information. For all analyses that include cohort studies prohibiting the use of individual-level data, the DataSHIELD approach is used [, ]. Under DataSHIELD, analysis requests are sent from the central analysis computer to the harmonized data held on the data servers. Computation is done simultaneously bu […]


Residential Air Pollution and Associations with Wheeze and Shortness of Breath in Adults: A Combined Analysis of Cross Sectional Data from Two Large European Cohorts

Environ Health Perspect
PMCID: 5915193
PMID: 28963089
DOI: 10.1289/EHP1353

[…] Harmonized data were analyzed using the DataSHIELD federated analysis method (; ). DataSHIELD involves setting up secure servers hosting harmonized data in geographically dispersed research centers and allowing a central analysis computer t […]


Legal issues in governing genetic biobanks: the Italian framework as a case study for the implications for citizen’s health through public private initiatives

PMCID: 5849700
PMID: 28921376
DOI: 10.1007/s12687-017-0328-2

[…] neficial to scientific research provided that data security and privacy are guaranteed as new tools and governance suggestions have been developed to foster both aspects, beyond the law (BioSHaRE and DATASHIELD).By promoting clear governance rules, third parties’ assessment with regard to data and samples access and, at the same time, by maintaining open an individual choice level (dynamic consent […]


Tapping the Vast Potential of the Data Deluge in Small scale Food Animal Production Businesses: Challenges to Near Real time Data Analysis and Interpretation

PMCID: 5592208
PMID: 28932740
DOI: 10.3389/fvets.2017.00120

[…] f data privacy concerns in respect to market competition and regulatory groups accessing the data with the release of sensitive data for analysis. For example, remote analysis infrastructures such as DataSHIELD at Bristol University allow for pooled analyses without the need to access individual level data. Differential privacy addresses the paradox of maintaining individual anonymity, while incre […]


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