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DataSHIELD – An open source solution for analysing sensitive data

Darr; Skip to Main Content. How does DataSHIELD work? For secure bioscience collaboration. DataSHIELD is an infrastructure and series of R packages that enables the remote and non-disclosive analysis of sensitive research data. Users are not required to have prior knowledge of R. The free DataSHIELD analysis tool overcomes access restrictions to biomedical data as a result of concerns surrounding the use of the data and risk of disclosing participants. DataSHIELD for Data Providers.

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DataSHIELD – An open source solution for analysing sensitive data | datashield.ac.uk Reviews
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Darr; Skip to Main Content. How does DataSHIELD work? For secure bioscience collaboration. DataSHIELD is an infrastructure and series of R packages that enables the remote and non-disclosive analysis of sensitive research data. Users are not required to have prior knowledge of R. The free DataSHIELD analysis tool overcomes access restrictions to biomedical data as a result of concerns surrounding the use of the data and risk of disclosing participants. DataSHIELD for Data Providers.
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2 infrastructure examples
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DataSHIELD – An open source solution for analysing sensitive data | datashield.ac.uk Reviews

https://datashield.ac.uk

Darr; Skip to Main Content. How does DataSHIELD work? For secure bioscience collaboration. DataSHIELD is an infrastructure and series of R packages that enables the remote and non-disclosive analysis of sensitive research data. Users are not required to have prior knowledge of R. The free DataSHIELD analysis tool overcomes access restrictions to biomedical data as a result of concerns surrounding the use of the data and risk of disclosing participants. DataSHIELD for Data Providers.

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glm_answers – DataSHIELD

http://www.datashield.ac.uk/glm_answers

Darr; Skip to Main Content. How does DataSHIELD work? 8249; Return to glm answers. Full Size: 695×655.

2

Publications – DataSHIELD

http://www.datashield.ac.uk/publications

Darr; Skip to Main Content. How does DataSHIELD work? Biostatistics and informatics: proof of principle and formal implementation. International Journal of Epidemiology. Jones EM, Sheehan NA, Gaye A, Laflamme P, Burton PR. (2013). Combined analysis of correlated data when data cannot be pooled. Jones, EM, Sheehan, N, Masca, N, Wallace, S, Murtagh, MJ, Burton, PR.(2012). DataSHIELD – shared individual-level analysis without sharing data: a biostatistical perspective. Norwegian Journal of Epidemiology.

3

datashield_function_code – DataSHIELD

http://www.datashield.ac.uk/datashield_function_code

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How does DataSHIELD work? – DataSHIELD

http://www.datashield.ac.uk/about/how-does-datashield-work

Darr; Skip to Main Content. How does DataSHIELD work? How does DataSHIELD work? How does DataSHIELD work? Analysis requests are sent from a central analysis machine to several data-holding machine storing the harmonised data to be co-analysed. The data sets are analysed simultaneously but in parallel, linked by non-disclosive summary statistics. Analysis is taken to the data – not the data to the analysis. Examples of DataSHIELD infrastructure.

5

About – DataSHIELD

http://www.datashield.ac.uk/about

Darr; Skip to Main Content. How does DataSHIELD work? DataSHIELD provides a novel technological solution that can circumvent some of the most basic challenges in facilitating the access of researchers and other health care professionals to individual level data. Although initially developed for work in the biomedical and social sciences, DataSHIELD can be used in any setting where microdata (data on individual subjects) must be analysed but cannot physically be shared with the research users.

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Who do we work with? | Software Sustainability Institute

https://www.software.ac.uk/who-do-we-work

Skip to main content. Best of the Blog. Sign up for news. Research Data Viz Workshop. Open Call for Projects. Who Do We Work With? Get up to speed! Where to publish code. Who do we work with? The Software Sustainability Institute works with a range of projects - tackling everything from library searches to nuclear fusion. If you would like assistance from the Institute, why not consider submitting an application into our Open Call. Or get in touch. We are conducting a sustainability assessment of the Cli...

drrebeccawilson.co.uk drrebeccawilson.co.uk

Dr Rebecca Wilson | Employment

http://drrebeccawilson.co.uk/employment

Grants, Awards and Responsibilities. Grants, Awards and Responsibilities. Becca Wilson is a research associate in the School of Social and Community Medicine at the University of Bristol working on DataSHIELD. Research interests include software development, astrobiology, atmospheric science, space technology transfer, space education and peer review data publication. Current Position – University of Bristol. March 2016-present Research Fellow, School of Social and Community Medicine. I assisted in the d...

wiki.research.data.ac.uk wiki.research.data.ac.uk

DataSHIELD - Research Data

https://wiki.research.data.ac.uk/DataSHIELD

Http:/ www.datashield.ac.uk. DataSHIELD is an R library that enables the remote and non-disclosive analysis of sensitive research data. DataSHIELD circumvents key obstacles preventing or limiting the open analysis of digital datasets. Irrespective of discipline, data access and analysis barriers result from a range of considerations:. Ethical-legal restrictions surrounding confidentiality and the sharing of, or access to, disclosive data;. The physical size of the data is a limiting factor.

wiki.research.data.ac.uk wiki.research.data.ac.uk

AMASED - Research Data

https://wiki.research.data.ac.uk/AMASED

Http:/ www.datashield.ac.uk. DataSHIELD Team (international consortium). Jisc sandpit 1 pitch: http:/ dx.doi.org/10.6084/m9.figshare.1480941. Jisc sandpit 2: Phase 1 progress and pitch http:/ dx.doi.org/10.6084/m9.figshare.1480941. Ethical-legal restrictions surrounding confidentiality and the sharing of, or access to, disclosive data;. Intellectual property or licensing issues surrounding research access to raw data;. The physical size of the data is a limiting factor. Login through your UK University.

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Dr Oliver Butters - Curriculum vitae.

http://faji.uk/cv

The University of Bristol. PhD MSci. (Hons) ARCS. October 2013 to present. The University of Bristol. I am the senior data manager of the Avon Longitudinal Study of Parents and Children (ALSPAC - www.bristol.ac.uk/alspac. In this role I lead a team looking after the data and the infrastructure needed to maintain the ALSPAC cohort. This involves curating over twenty years of data, while all the time facilitating the addition of new questionnaire data, clinical data, and biological data to the resource.

brisskit.le.ac.uk brisskit.le.ac.uk

Use Cases | BRISSKit

https://www.brisskit.le.ac.uk/case-studies

Skip to main content area. Biomedical Research Infrastructure Software Service kit. Use cases include the 100k Genomes Project. With University Hospitals Leicester NHS Trust. NIHR funded Leicester Cardiovascular. Leicester Cancer Research Biobank. Environmental health research involving aerosols. With the Leicester Earth Observation Science. Group; National Centre for Sports and Exercise Medicine. At Loughborough and a key collaboration with the D2K Data to Knowledge research group. University Hospitals ...

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Blogs | BRISSKit

https://www.brisskit.le.ac.uk/blog

Skip to main content area. Biomedical Research Infrastructure Software Service kit. BRISSKit Technical Description paper published, Aug 2016. Submitted by Jonathan Tedds. On Fri, 05/08/2016 - 21:44. An important milestone for the project. The Biomedical Research Infrastructure Software as a Service Kit (BRISSKit): technical description. We hope this is useful in interpreting the software and reusing it - as ever, contact us via brisskit@le.ac.uk. Jonathan Tedds's blog. BRISSKit short animated explainer!

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DataSHIELD – An open source solution for analysing sensitive data

Darr; Skip to Main Content. How does DataSHIELD work? For secure bioscience collaboration. DataSHIELD is an infrastructure and series of R packages that enables the remote and non-disclosive analysis of sensitive research data. Users are not required to have prior knowledge of R. The free DataSHIELD analysis tool overcomes access restrictions to biomedical data as a result of concerns surrounding the use of the data and risk of disclosing participants. DataSHIELD for Data Providers.

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