
DataSHIELD provides a technological solution that can address many of the disclosure challenges in facilitating analysis by researchers and other health care professionals of 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. This report documents a TRE-FX implementation, which explored and integrated new analysis techniques (including DataSHIELD, which traditionally hasn’t been deployed in TREs) and interaction protocols without using the common components of the other two implementations, and instead implemented alternative components. This demonstrates the use of RO-Crates with different implementation choices and that the framework implementation can be modified and reconfigured.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
