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.
PRODUCTS, PARTNERSHIPS, & EVENTS
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
Summer Research Program in Biomedical Big Data Science
The LINCS DCC Summer Research Training Program in Biomedical Big Data Science is a research intensive ten-week training program for undergraduates interested in bioinformatics. Summer fellows training in the Ma’ayan Lab at the Icahn School of Medicine at Mount Sinai conduct faculty-mentored research in the areas: data harmonization, machine learning, cloud computing, and dynamic data visualization.
Application deadline: February 1, 2025
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.
Social Media
Working to improve findability, accessibility, and interoperability of NIH Common Fund data sets and to encourage data reuse.