Data provenance tracking and reporting in a high-security digital research environment.
Objective To protect privacy, routinely-collected data are processed and anonymised by third parties before being used for research. However, the methods used to do this are rarely shared, leaving the resulting research difficult to evaluate and liable to undetected errors. Here, we present a proven...
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| Автори: | , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Swansea University
2022-08-01
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| Серія: | International Journal of Population Data Science |
| Предмети: | |
| Онлайн доступ: | https://ijpds.org/article/view/1909 |
| Теги: |
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