ReCARDO: Using Real-World Data to Derive Common Data Elements for Alzheimer’s Disease and AD-Related Dementias Research Through Ontological Innovation

NIA-U24AG098157

ReCARDO Investigators

Alex Cheng Jing Su David Wolk Xubing Hao Yejin Kim

About Development of CDEs for AD/ADRD (AD-CDEs) cover seven designated domains Development, refinement, adoption of AD-CDEs through collaboration and validation Resource sharing and dissemination Administrative support key functions

ReCARDO is a ten-institution research network, funded by NIA under award U24AG098157 for developing an AD/ADRD-focused, collaborative data ecosystem incorporating CDEs to leverage RWD for empowering NIA-funded studies, and for enhancing the transparency, rigor and reproducibility of AD/ADRD research.

The aims of ReCARDO cover the development, application, and dissemination of AD/ADRD CDEs and AI/ML/NLP tools through this collaborative ReCARDO Research Network (RRN). These aims will be achieved through the organization of the RRN in seven Work Streams:

1. CDE development and CDE knowledge graph;
2. CDE extraction from RWD;
3. Data, metadata, and resource ecosystems;
4. AI/ML/NLP and computational phenotyping;
5. Research questions, use cases, and CDE application, including a pilot study program;
6. Genetics, imaging, biomarkers and big data;
7. Reproducibility and evaluation.

Administrative support will be provided through five Key Functions: Steering Committee (SC) and External Advisory Panel (EAP); Management and support for Work Streams, annual meeting, and the pilot study program; Innovation capacity development; Governance framework adopting best practices; and Dissemination and outreach activities.