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Data Sharing: Tool sharing (Milestone 3.E)

In Progress

Timeline Start - End

2018 - 2024

Research Implementation Area

Data Sharing and Reproducibility

Accelerate independent evaluation of research findings by mandating the open distribution of publicly and privately/philanthropically funded computational and experimental research tools for their use/reuse across the research community. Establish mechanisms to harmonize methods and outcomes across all research domains including SOPs and best practices for all stages of analysis so that they can be reused, evaluated, and expanded.


Success Criteria

  • Align funding requirements and policies across federal and non-profit funding agencies supporting AD research to ensure open distribution of computational and experimental research tools and to support harmonization of methods and outcomes across all research domains including SOPs and best practices for all stages of analysis.

Summary of Key Accomplishments

An NIA-supported open-source platform provides access to over 550 candidate targets for AD (discovered by the researchers from the AMP AD and affiliated consortia) along with the supporting evidence and data that were the basis for the target nominations. This allows researchers to independently evaluate these discoveries and advance them. The TREAT-AD and MODEL-AD Centers are developing research tools for target validation and new animal models, respectively, for late-onset AD and making them available without any restrictions to the scientific community.

NIA's Harmonization of AD/ADRD Genetic, Epidemiologic, and Clinical Data to Enhance Therapeutic Target Discovery aims to develop infrastructure that will support the harmonization of key clinical data on participants with available genetic data to create a sustainable dataset that can be reused for precision medicine research.

The key accomplishments summary is current as of July 2022. 

Accomplishments/Implementation Activities

Funding Initiatives

Research Programs and Resources

Research Highlights

Relevant Recommendations

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