NIGMS Feedback Loop Blog – National Institute of General Medical Sciences
A catalyst for interaction with the scientific community
Ravi managed research, resource, and training grants related to his areas of expertise: bioinformatics and computational biology. In addition, he’s focused on facilitating and coordinating trans-NIH activities related to big data.
UPDATE: The slides [PDF, 3.28MB] from the IMSD Webinar have been posted.
Are you preparing an institutional Initiative for Maximizing Student Development (IMSD) (T32) grant application? If so, please join us for a webinar about the program and the opportunity to ask questions:
Monday, November 4, 1:00-3:00 p.m. ET
Continue reading “Webinar for Initiative for Maximizing Student Development (IMSD) (T32) Program Applicants”Modern biomedical research is becoming increasingly quantitative and reliant on computational methods, with growing use of large and complex datasets to address biomedical research questions and advance human health. To help address the need for biomedical researchers with cutting-edge computational and quantitative skills, we have updated the focus areas of our Predoctoral T32 Training Program in Computational Biology, Bioinformatics, and Biomedical Data Science (formerly called Bioinformatics and Computational Biology). In doing this, we aim to better integrate training in data-science approaches throughout the curriculum and during the mentored research period. We are now placing a strong emphasis on programs that:
A current research challenge is harmonizing vast amounts of heterogeneous biological data so that it can be stored, extracted, analyzed, presented and shared in a broad, uniform manner. An important step to overcoming this obstacle is creating data-related standards.
Toward this goal, NIH has issued a request for information (RFI) seeking comments on information resources for data-related standards widely used in biomedical science. Feedback on standards considered most critical, as well as existing relevant resources, could inform plans to develop a publicly available, Web-based information resource on data-related standards.
The deadline for responding to the RFI is September 30, 2014.