dsSynthetic: synthetic data generation for the DataSHIELD federated analysis system
Abstract Objective Platforms such as DataSHIELD allow users to analyse sensitive data remotely, without having full access to the detailed data items (federated analysis). While this feature helps to overcome difficulties with data sharing, it can make it challenging to write code without full visib...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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BMC
2022-06-01
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| Series: | BMC Research Notes |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13104-022-06111-2 |
| _version_ | 1818470818953297920 |
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| author | Soumya Banerjee Tom R. P. Bishop |
| author_facet | Soumya Banerjee Tom R. P. Bishop |
| author_sort | Soumya Banerjee |
| collection | DOAJ |
| description | Abstract Objective Platforms such as DataSHIELD allow users to analyse sensitive data remotely, without having full access to the detailed data items (federated analysis). While this feature helps to overcome difficulties with data sharing, it can make it challenging to write code without full visibility of the data. One solution is to generate realistic, non-disclosive synthetic data that can be transferred to the analyst so they can perfect their code without the access limitation. When this process is complete, they can run the code on the real data. Results We have created a package in DataSHIELD (dsSynthetic) which allows generation of realistic synthetic data, building on existing packages. In our paper and accompanying tutorial we demonstrate how the use of synthetic data generated with our package can help DataSHIELD users with tasks such as writing analysis scripts and harmonising data to common scales and measures. |
| first_indexed | 2024-04-13T21:42:40Z |
| format | Article |
| id | doaj.art-783da531054f45cc80c8659c5d91e715 |
| institution | Directory Open Access Journal |
| issn | 1756-0500 |
| language | English |
| last_indexed | 2024-04-13T21:42:40Z |
| publishDate | 2022-06-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Research Notes |
| spelling | doaj.art-783da531054f45cc80c8659c5d91e7152022-12-22T02:28:41ZengBMCBMC Research Notes1756-05002022-06-011511610.1186/s13104-022-06111-2dsSynthetic: synthetic data generation for the DataSHIELD federated analysis systemSoumya Banerjee0Tom R. P. Bishop1Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical MedicineMedical Research Council Epidemiology Unit, University of Cambridge School of Clinical MedicineAbstract Objective Platforms such as DataSHIELD allow users to analyse sensitive data remotely, without having full access to the detailed data items (federated analysis). While this feature helps to overcome difficulties with data sharing, it can make it challenging to write code without full visibility of the data. One solution is to generate realistic, non-disclosive synthetic data that can be transferred to the analyst so they can perfect their code without the access limitation. When this process is complete, they can run the code on the real data. Results We have created a package in DataSHIELD (dsSynthetic) which allows generation of realistic synthetic data, building on existing packages. In our paper and accompanying tutorial we demonstrate how the use of synthetic data generated with our package can help DataSHIELD users with tasks such as writing analysis scripts and harmonising data to common scales and measures.https://doi.org/10.1186/s13104-022-06111-2Synthetic dataData harmonisationFederated analysis |
| spellingShingle | Soumya Banerjee Tom R. P. Bishop dsSynthetic: synthetic data generation for the DataSHIELD federated analysis system BMC Research Notes Synthetic data Data harmonisation Federated analysis |
| title | dsSynthetic: synthetic data generation for the DataSHIELD federated analysis system |
| title_full | dsSynthetic: synthetic data generation for the DataSHIELD federated analysis system |
| title_fullStr | dsSynthetic: synthetic data generation for the DataSHIELD federated analysis system |
| title_full_unstemmed | dsSynthetic: synthetic data generation for the DataSHIELD federated analysis system |
| title_short | dsSynthetic: synthetic data generation for the DataSHIELD federated analysis system |
| title_sort | dssynthetic synthetic data generation for the datashield federated analysis system |
| topic | Synthetic data Data harmonisation Federated analysis |
| url | https://doi.org/10.1186/s13104-022-06111-2 |
| work_keys_str_mv | AT soumyabanerjee dssyntheticsyntheticdatagenerationforthedatashieldfederatedanalysissystem AT tomrpbishop dssyntheticsyntheticdatagenerationforthedatashieldfederatedanalysissystem |