
doi: 10.3205/20gmds181
Background: One major goal of decentral research networks is to be able to query and retrieve the data after it has been harmonized across multiple sites. This data is highly structured: In medical research, the data of a case or patient usually resides in multiple interlinked entities, each containing[for full text, please go to the a.m. URL]
65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS)
ddc: 610, research network, FHIR, 610 Medical sciences; Medicine
ddc: 610, research network, FHIR, 610 Medical sciences; Medicine
| 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 | |
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| 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 |
