NIH/NIEH:Children's Health Exposure Analysis Resource (CHEAR): Data Repository, Analysis and Science Center (U2C) RFA-ES-15-010
NIEHS is establishing an infrastructure, the Children’s Health Exposure Analysis Resource (CHEAR), to provide the extramural research community access to laboratory and statistical analyses to add or expand the inclusion of environmental exposures in their research. CHEAR is a multi-unit infrastructure to provide access to comprehensive exposure assessment for NIH funded studies of Children’s Health. CHEAR is being solicited through three FOAs, this FOA solicits a Data Repository, Analysis, and Science Center (Data Center) for CHEAR. The network has two units in addition to this Data Center, a National Exposure Assessment Laboratory Network and an overall CHEAR Coordinating Center.
The Data Center will provide intellectual and logistical support for the maintenance, analysis, interpretation, curation, and reuse of data generated by CHEAR in support of extramural research projects. The Data Center will provide two distinct services to the extramural community. The Center will support statistical consultation and perform statistical analyses for studies using the CHEAR infrastructure including the development and dissemination of new statistical methods and informatics tools. In addition, the Data Center will develop and manage an exposure data repository and associated data science resources. The ultimate goal is maximizing potential use and impact of exposure data both within and outside of CHEAR.
USC may only submit one application in response to this program announcement. Your application submission MUST be coordinated with the Office of the Vice President for Research. Please send a two page abstract via email to Richard White (email@example.com) by March 30,2015.. In addition to the 2-page abstract, you should also submit a biosketch for the PI.
NIH/NIEH indicates that a letter of intent is due on March 30,2015 and a full proposal is due by April 30, 2015. For more information: http://grants.nih.gov/grants/guide/rfa-files/RFA-ES-15-010.html