Developing a standardized but extendable framework to increase the findability of infectious disease datasets

Abstract excerpt

Biomedical datasets are increasing in size, stored in many repositories, and face challenges in FAIRness (findability, accessibility, interoperability, reusability). As a Consortium of infectious disease researchers from 15 Centers, we aim to adopt open science practices to promote transparency, encourage reproducibility, and accelerate research advances through data reuse. To improve FAIRness of our datasets and...

Topics

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• Algorithms
• Data Mining
• Electronic Health Records
• Genetics, Bioinformatics, and Biomedical Research
• Genomics
• International Classification of Diseases
• Knowledge Bases
• Phenotype

Identifiers and source

Literature Corpus work

5b18035a-a0ce-55ab-8f81-124f1f0b25f4

DOI

10.1101/2022.10.10.511492