Journal Article

DKFZ-2026-01218

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png DataCastle: A Pragmatic Approach for Research and Real-World Data Management.

Kern, J. (First author)DKFZ* ; Brechtel, M. K. ; Schumacher, T.DKFZ* ; Lablans, M.DKFZ* ; Kussel, T. (Last author)DKFZ*

2026
IOS Press Amsterdam

Abstract: Effective research data management (RDM) is essential for ensuring transparency, reproducibility, and collaboration in biomedical research, yet heterogeneous clinical and experimental data challenges fragmented infrastructures. DataCastle is a modular open-source platform that bridges FAIR data acquisition and FAIR data use by integrating enrollment-time pseudonymization, metadata extraction and background versioning of data and a processing environment for data analysis. Structured data are captured via an EDC system, unstructured data are stored within a filesystem-based data lake and metadata are mapped to Health DCAT-AP to support findability and EHDS alignment. DataCastle connects managed data to analysis and visualization tools to enable reproducible and version-linked workflows.

Keyword(s): Biomedical Research: organization & administration (MeSH) ; Data Management: methods (MeSH) ; Data Management: organization & administration (MeSH) ; Humans (MeSH) ; Metadata (MeSH) ; Electronic Health Records: organization & administration (MeSH) ; FAIR Principles ; Interoperability ; Research Data Management (RDM)

Note: ISSN:0926-9630 / #EA:E260#LA:E260# / #DKTKZFB26#

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Contributing Institute(s):

1. Verbundinformationssysteme (E260)
2. DKTK HD zentral (HD01)

Research Program(s):

1. 315 - Bildgebung und Radioonkologie (POF4-315) (POF4-315)

Appears in the scientific report 2026

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Database coverage:
; NCBI Molecular Biology Database ; SCOPUS

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