FAQs
Frequently Asked Questions
- What is the FHS-BAP Data Core?
The FHS-BAP Data Core is a central hub for managing and sharing data collected as part of the Framingham Heart Study Brain Aging Program (FHS-BAP). It ensures the integrity and accessibility of valuable research data related to Alzheimer's Disease (AD) and cognitive decline.
- What kind of data does the FHS-BAP Data Core manage?
The FHS-BAP Data Core manages comprehensive data on demographics, health, genetics, neuroimaging, and more, collected over decades as part of the Framingham Heart Study. This data provides insights into cardiovascular disease (CVD), stroke, and AD.
- How does the FHS-BAP Data Core support Alzheimer's Disease research?
The Data Core facilitates collaborative investigations into the complex links between modifiable risk factors, cognitive decline, and AD. It ensures that curated data is ready for analysis and sharing, accelerating research efforts aimed at understanding and addressing AD.
- Who leads the FHS-BAP Data Core?
The FHS-BAP Data Core is led by Dr. Ting Fang Alvin Ang and Dr. Qiushan Tao, alongside Cody Karjadi's digital data team. Their expertise ensures the quality and accessibility of research data and supports ongoing AD-related research projects.
- How can researchers access data from the FHS-BAP Data Core?
Researchers interested in accessing data from the FHS-BAP Data Core can reach out to the team through the provided contact information on the webpage. The Data Core facilitates data sharing efforts and supports collaborative research initiatives.
- What are the goals of the FHS-BAP Data Core?
The goals of the FHS-BAP Data Core include establishing a secure database of AD-related phenotypic data, ensuring data quality and readiness for analysis, facilitating data sharing efforts, and supporting ongoing research projects to enhance AD-related research.
- How does the FHS-BAP Data Core uphold data integrity and accessibility?
The Data Core adheres to FAIR principles (Findable, Accessible, Interoperable, and Reusable) in data management, ensuring that research data is curated, harmonized, and readily available for analysis and sharing.