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NIH/NCATS/GRDR® Common Data Elements: A leading force for standardized data collection.

Yaffa R Rubinstein¹, Pamela McInnes¹

¹National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, United States.

Contemporary Clinical Trials

|March 24, 2015

Summary

This summary is machine-generated.

The National Institutes of Health (NIH) developed the Global Rare Disease (GRD) Repository program and Common Data Elements (CDEs) to standardize rare disease data. This initiative advances research by enabling data sharing for rare disease studies and clinical trials.

Keywords:

Common Data Elements Data repository Data standardization GUID Patient registries Rare diseases

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Area of Science:

Biomedical Informatics
Rare Disease Research
Data Science

Background:

Rare disease research is hampered by fragmented and non-standardized clinical data.
A central repository is needed to aggregate and harmonize data from diverse rare disease registries.
Interoperability and data standardization are critical for advancing rare disease studies.

Purpose of the Study:

To establish the NIH/NCATS Global Rare Disease (GRD) Repository program.
To develop and implement a set of Common Data Elements (CDEs) for rare disease data standardization.
To facilitate biomedical research, including clinical trials, by providing integrated, de-identified patient data.

Main Methods:

Development of 75 Common Data Elements (CDEs) by a national committee.
Validation and implementation of CDEs over a 2-year proof-of-concept period.
Creation of a central, web-based global data repository for rare disease information.

Main Results:

The GRD Repository program and its CDEs have become foundational for multiple rare disease registries.
Freely accessible CDEs are available online, promoting widespread adoption.
The program has successfully raised international awareness and fostered dialogue on data standardization in rare diseases.

Conclusions:

The GRD Repository program and CDEs are crucial for advancing rare disease research through data standardization and interoperability.
The initiative has significantly influenced the mindset of stakeholders, promoting global collaboration.
Standardized data facilitates cross-disease analysis and supports the development of effective treatments.