TY  - JOUR
AU  - Kern, Jori
AU  - Brechtel, Markus
AU  - Kaluza, Philipp
AU  - Kussel, Tobias
AU  - Vehreschild, Jörg Janne
AU  - Lablans, Martin
TI  - Data Science Orchestrator: A Containerized Trusted Research Environment for Flexible and Secure Analytical Pipelines.
JO  - Studies in health technology and informatics
VL  - 15
SN  - 0926-9630
CY  - Amsterdam
PB  - IOS Press
M1  - DKFZ-2025-01005
SP  - 698-702
PY  - 2025
N1  - #EA:E260#LA:E260#
AB  - Without dedicated research and processing environments, researchers sometimes tend to use software downloaded from the internet on non-versioned data sets, making reproduction of the results very difficult while risking leaks of the sensitive data, by running it on their regular laptops. This also makes the process of analysis rather tedious and slow. The Data Science Orchestrator (DSO) aims to provide a easy solution to deploy different analysis tools in a turnkey solution making research safe and reproducible. By analyzing the requirements of researchers across our community we also identified a number of research infrastructure needs beyond this initial data analysis stage; therefore the scope of the DSO has expanded to provide federated analysis of data and repeated reporting using automated analysis pipelines that can be run at different intervals, hence extending its assistive impact beyond initial analysis.
KW  - Software
KW  - Computer Security
KW  - Data Science: methods
KW  - Humans
KW  - Data Processing (Other)
KW  - Software Development (Other)
KW  - Trusted Research Environment (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:40380547
DO  - DOI:DOI:10.3233/SHTI250438
UR  - https://inrepo02.dkfz.de/record/301367
ER  -