Discover, Analyze, and Integrate NIH Common Fund Data
The NIH Common Fund programs generate diverse datasets from a variety of projects ranging from genomics to phenotypes. The Common Fund Data Ecosystem (CFDE) aims to facilitate improved discovery, reuse, integration, and analyses of these datasets to form novel hypothesis for accelerating discoveries in biomedical research.
The Common Fund Data Ecosystem (CFDE) aims to enable broad use of data generated by Common Fund Programs to accelerate hypothesis generation and discovery.
TRAINING & OUTREACH
LINCS Summer Traniees Virtual Symposium 2024
A virtual symposium hosted by the Ma’ayan Lab and the Mount Sinai Center for Bioinformatics will feature the accomplishments made by 10 summer trainees during a 10-week research-intensive full-time training program. The projects cover topics such as data integration, data visualization, LLM integration, and Knowledge Graphs in the field of biomedical data science and bioinformatics, leveraging the power of AI and other computational tools and methods.
Starts: August 8, 2024
Making data more FAIR
The Data Resource and Knowledge Centers are dedicated to enhancing the accessibility and utility of Common Fund-generated data and resources, striving to uphold the FAIR principles. This commitment serves as a catalyst for groundbreaking biomedical discoveries, fostering synergies across the diverse datasets within the Common Fund ecosystem, thereby unlocking novel avenues of research and innovation.
Findable
Accessible
Interoperable
Reusable
Social Media
Working to improve findability, accessibility, and interoperability of NIH Common Fund data sets and to encourage data reuse.
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Working to improve findability, accessibility, and interoperability of NIH Common Fund data sets and to encourage data reuse.
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