1 citations · 2 across the 3 of their papers we have counts for
3 papers
A General-Purpose Data Harmonization Framework: Supporting Reproducible and Scalable Data Integration in the RADx Data Hub
Jimmy K. Yu, Marcos Martínez-Romero, Matthew Horridge +2
In the age of big data, it is important for primary research data to follow the FAIR principles of findability, accessibility, interoperability, and reusability. Data harmonization…
RADx Data Hub: A Cloud Platform for FAIR, Harmonized COVID-19 Data
Marcos Martinez-Romero, Matthew Horridge, Nilesh Mistry +15
The COVID-19 pandemic highlighted the urgent need for robust systems to enable rapid data collection, integration, and analysis for public health responses. Existing approaches oft…
Modeling community standards for metadata as templates makes data FAIR
Mark A. Musen, Martin J. O'Connor, Erik Schultes +3
It is challenging to determine whether datasets are findable, accessible, interoperable, and reusable (FAIR) because the FAIR Guiding Principles refer to highly idiosyncratic crite…