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Research collaboration data platform ensuring general data protection

delete2024-05-24
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OA
AI
M
Monica Toma *
C
Caroline Bönisch *
B
Benjamin Löhnhardt
M
Michael Kelm
H
Hanibal Bohnenberger
S
Sven Winkelmann
P
Philipp Ströbel
T
Tibor Kesztyüs
DOI:10.1038/s41598-024-61912-8delete
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Abstract

Abstract

En 中文
Translational data is of paramount importance for medical research and clinical innovation. It has the potential to benefit individuals and organizations, however, the protection of personal data must be guaranteed. Collecting diverse omics data and electronic health records (EHR), re-using the minimized data, as well as providing a reliable data transfer between different institutions are mandatory steps for the development of the promising field of big data and artificial intelligence in medical research. This is made possible within the proposed data platform in this research project. The established data platform enables the collaboration between public and commercial organizations by data transfer from various clinical systems into a cloud for supporting multi-site research while ensuring compliant data governance.
Keywords:
ARTIFICIAL-INTELLIGENCE
BIG-DATA
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Scientific Reports cover
Scientific Reports
IF:
3.9
Papers:
27.4W
Citations:
83.5W

Organization

U
university gottingen hospital
Scholars:
4.8K
Papers: 3.5K
Citations: 4
U
University of Gottingen
Scholars:
2.5W
Papers: 2.1W
Citations: 36