Bringing FAIRness to FDA data through visualization

Juan Espinoza Salomon

doi:10.1016/j.patter.2023.100755

Bringing FAIRness to FDA data through visualization

Juan Espinoza Salomon^*

^*Corresponding author for this work

Pediatrics

Research output: Contribution to journal › Comment/debate › peer-review

Abstract

Improving representation and inclusion in clinical trials for new medicinal products has been a high priority for federal agencies for over 2 decades, but data to evaluate progress have been difficult to access. In this issue of Patterns, Carmeli et al. provide a novel approach to aggregating and visualizing existing data to improve transparency and research.

Original language	English (US)
Article number	100755
Journal	Patterns
Volume	4
Issue number	5
DOIs	https://doi.org/10.1016/j.patter.2023.100755
State	Published - May 12 2023

ASJC Scopus subject areas

General Decision Sciences

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10.1016/j.patter.2023.100755

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title = "Bringing FAIRness to FDA data through visualization",

abstract = "Improving representation and inclusion in clinical trials for new medicinal products has been a high priority for federal agencies for over 2 decades, but data to evaluate progress have been difficult to access. In this issue of Patterns, Carmeli et al. provide a novel approach to aggregating and visualizing existing data to improve transparency and research.",

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Bringing FAIRness to FDA data through visualization

Abstract

ASJC Scopus subject areas

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