| Autor: |
RINGWALD, Friedemann G., DUDCHENKO, Aleksei, KNAUP, Petra, Czernilofsky, Felix, Dietrich, Sascha, GANZINGER, Matthias |
| Zdroj: |
Studies in Health Technology & Informatics; 2023, Vol. 310, p1016-1020, 5p |
| Abstrakt: |
In the SMART-CARE project- a systems medicine approach to stratification of cancer recurrence in Heidelberg, Germany - a streamlined mass-spectrometry (MS) workflow for identification of cancer relapse was developed. This project has multiple partners from clinics, laboratories and computational teams. For optimal collaboration, consistent documentation and centralized storage, the linked data repository was designed. Clinical, laboratory and computational group members interact with this platform and store meta- and raw-data. The specific architectural choices, such as pseudonymization service, uploading process and other technical specifications as well as lessons learned are presented in this work. Altogether, relevant information in order to provide other research groups with a head-start for tackling MS data management in the context of systems medicine research projects is described. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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