a privacy-preserving approach to accelerate rare disease research

Funding Information: The author(s) declare that financial support was received for the research and/or publication of this article. The present publication was funded by Funda\u00E7\u00E3o Ci\u00EAncia e Tecnologia, IP national support through UID/04923 - Comprehensive Health Research Centre. Funding Information: Voss et al. () research proves that the workflow used by EHDEN effectively supports the successful standardisation of observational data across Europe. Their study involved 25 data partners from 11 countries who received funding from the EHDEN to standardise their data. The results were measured by days required to convert health observations to Observational Medical Outcomes Partnership, OMOP CDM. Publisher Copyright: 2025 Mendes, Barbar and Refaie.

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Publication Details

Journal
Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)
Published
2025-03-01
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
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article

a privacy-preserving approach to accelerate rare disease research

Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)
Magnetic confinement fusion research
article

a privacy-preserving approach to accelerate rare disease research

article en

Abstract

Funding Information: The author(s) declare that financial support was received for the research and/or publication of this article. The present publication was funded by Funda\u00E7\u00E3o Ci\u00EAncia e Tecnologia, IP national support through UID/04923 - Comprehensive Health Research Centre. Funding Information: Voss et al. () research proves that the workflow used by EHDEN effectively supports the successful standardisation of observational data across Europe. Their study involved 25 data partners from 11 countries who received funding from the EHDEN to standardise their data. The results were measured by days required to convert health observations to Observational Medical Outcomes Partnership, OMOP CDM. Publisher Copyright: 2025 Mendes, Barbar and Refaie.

Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)
American University of Science and Technology (LB), Coventry University (GB), Universidade Nova de Lisboa (PT)
Partnerships for the goals
Openalex Percentile: Top 60%
Magnetic confinement fusion research
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a privacy-preserving approach to accelerate rare disease research · Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa) (2025) | TGRS Research Map | TGRS