DataSHIELD: an ethically robust solution to multiple-site individual-level data analysis.
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| Abstract |    :  
                  DataSHIELD (Data Aggregation Through Anonymous Summary-statistics from Harmonised Individual levEL Databases) has been proposed to facilitate the co-analysis of individual-level data from multiple studies without physically sharing the data. In a previous paper, we investigated whether DataSHIELD could protect participant confidentiality in accordance with UK law. In this follow-up paper, we investigate whether DataSHIELD addresses a broader range of ethics-related data-sharing concerns.  | 
        
| Year of Publication |    :  
                  0 
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| Journal |    :  
                  Public health genomics 
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| Volume |    :  
                  18 
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| Issue |    :  
                  2 
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| Number of Pages |    :  
                  87-96 
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| Date Published |    :  
                  2015 
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| ISSN Number |    :  
                  1662-4246 
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| URL |    :  
                  http://www.karger.com?DOI=10.1159/000368959 
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| DOI |    :  
                  10.1159/000368959 
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| Short Title |    :  
                  Public Health Genomics 
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