GEHRMANN, Julia, DECKER, Stefan und BEYAN, Oya Deniz, 2022. Designing a data access and integration workflow for medical data science: a use case of compiling a reusable data set for primary tumor discovery at Me DIC Cologne. Aachen: Universitätsbibliothek der RWTH Aachen.
Elsevier - Harvard (with titles)Gehrmann, J., Decker, S., Beyan, O.D., 2022. Designing a data access and integration workflow for medical data science: a use case of compiling a reusable data set for primary tumor discovery at Me DIC Cologne, Aachen. RWTH Aachen University, 2022. Universitätsbibliothek der RWTH Aachen, Aachen. https://doi.org/10.18154/RWTH-2023-03583
American Psychological Association 7th editionGehrmann, J., Decker, S., & Beyan, O. D. (ca. 2022). Designing a data access and integration workflow for medical data science: a use case of compiling a reusable data set for primary tumor discovery at Me DIC Cologne [Cd]. In Aachen. RWTH Aachen University, 2022. Universitätsbibliothek der RWTH Aachen. https://doi.org/10.18154/RWTH-2023-03583
Springer - Basic (author-date)Gehrmann J, Decker S, Beyan OD (2022) Designing a data access and integration workflow for medical data science: a use case of compiling a reusable data set for primary tumor discovery at Me DIC Cologne. Universitätsbibliothek der RWTH Aachen, Aachen
Juristische Zitierweise (Stüber) (Deutsch)Gehrmann, Julia/ Decker, Stefan/ Beyan, Oya Deniz, Designing a data access and integration workflow for medical data science: a use case of compiling a reusable data set for primary tumor discovery at Me DIC Cologne, Aachen 2022.