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Published on: October 6, 2023
International data-sharing for radiotherapy research: an open-source based infrastructure for multicentric clinical
Erik Roelofs1, André Dekker1, Elisa Meldolesi2
1Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center (MUMC+), The Netherlands.
Sharing extensive radiotherapy data is vital but challenging. An open-source infrastructure enables seamless, de-identified data exchange between departments, overcoming cost and effort barriers for research.
Area of Science:
- Medical Physics and Engineering
- Oncology Research
- Health Informatics
Background:
- Extensive data sharing is essential for advancing radiotherapy research.
- Current data sharing methods face significant cost, time, and effort challenges.
- Lack of standardized, accessible data hinders collaborative research efforts.
Purpose of the Study:
- To present an open-source data-sharing infrastructure for radiotherapy research.
- To facilitate seamless exchange of de-identified clinical and biomedical treatment data.
- To overcome existing barriers in multifactorial data sharing for research.
Main Methods:
- Development and implementation of an open-source data-sharing infrastructure.
- Establishment of inter-departmental data exchange protocols between two radiotherapy facilities.
- Automated translation and de-identification of clinical and biomedical treatment data.
Main Results:
- Successful implementation of a functional data-sharing infrastructure.
- Demonstrated seamless and automated exchange of de-identified radiotherapy data.
- Reduced barriers related to cost, time, and effort for data sharing.
Conclusions:
- Open-source solutions can effectively address data-sharing challenges in radiotherapy.
- The presented infrastructure enables efficient and secure data exchange for research.
- This approach supports future advancements in multifactorial radiotherapy research.
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