Cargando…
Privacy-preserving data sharing infrastructures for medical research: systematization and comparison
BACKGROUND: Data sharing is considered a crucial part of modern medical research. Unfortunately, despite its advantages, it often faces obstacles, especially data privacy challenges. As a result, various approaches and infrastructures have been developed that aim to ensure that patients and research...
Autores principales: | Wirth, Felix Nikolaus, Meurers, Thierry, Johns, Marco, Prasser, Fabian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8359765/ https://www.ncbi.nlm.nih.gov/pubmed/34384406 http://dx.doi.org/10.1186/s12911-021-01602-x |
Ejemplares similares
-
Citizen-Centered Mobile Health Apps Collecting Individual-Level Spatial Data for Infectious Disease Management: Scoping Review
por: Wirth, Felix Nikolaus, et al.
Publicado: (2020) -
Data Provenance in Biomedical Research: Scoping Review
por: Johns, Marco, et al.
Publicado: (2023) -
A scalable software solution for anonymizing high-dimensional biomedical data
por: Meurers, Thierry, et al.
Publicado: (2021) -
A comprehensive tool for creating and evaluating privacy-preserving biomedical prediction models
por: Eicher, Johanna, et al.
Publicado: (2020) -
Privacy-preserving data sharing via probabilistic modeling
por: Jälkö, Joonas, et al.
Publicado: (2021)