The Jump Applied Research for Community Health through Engineering and Simulation [Jump ARCHES] Endowment is a competitive grant is to improve healthcare quality and patient safety through the combined efforts of engineers and clinicians. The goal of this competitive grant is to improve healthcare quality and patient safety through the combined efforts of engineers and clinicians.
The request for Proposals Opens: September 18, 2017
Submission Deadline: October 25, 2017 at 5pm CST
Sandia National Labs PhD Fellowships
Fellowship applications for Sandia National Labs are open and are due on Nov. 1, 2017
Truman Fellowship applications are due Wednesday, Nov. 1. Candidates must have a PhD demonstrating strong academic achievement within the past three years or by October 2018. They must have solved a major scientific or engineering problem resulting in a recognized impact in their field, be seeking their first national lab appointment, and be able to obtain a DOE clearance.
Hruby Fellowship applications are due Wednesday, Nov. 1. Candidates must have a PhD demonstrating strong academic achievement within the past three years or by October 2018. They must have exceptional technical accomplishment, interest in technical leadership, be seeking their first national lab appointment, and be able to obtain a DOE clearance.
FY2018 MURI Call for Proposals
White papers inquiries and questions deadline: June 30, 2017
White papers due July 17, 2017; 11:59PM (Eastern daylight time)
Proposals inquiries and questions deadline: Wednesday, October 11, 2017
Proposals due: Wednesday, November 1, 2017 at 11:59 PM (Eastern daylight time)
There are many topics that could be of high interest. If you have not done so already, please consider reviewing them. Full RFP Here
NIH announces that the NIH BD2K Program will be launching a Data Commons Pilot Phase.
For more information please visit https://commonfund.nih.gov/bd2k/commons
NIH Data Commons Pilot Phase Explores Using the Cloud to Access and Share *FAIR Biomedical Big Data
*Findable, Accessible, Interoperable and Reusable
The NIH, under the BD2K program, will be launching a Data Commons Pilot Phase to test ways to store, access and share FAIR biomedical data and associated tools in the cloud.
A data commons is a way to share and provide access to digital objects, like the data generated during biomedical research, or the software and other tools needed to use the data. A commons would help NIH extract more value from the digital products of biomedical research by making them available to more researchers. Using a cloud-based data commons model will empower researchers to find and interact with data directly in the cloud without spending time and resources downloading large datasets to their own servers.
The Data Commons Pilot Phase will include the following activities
- Establishing community-endorsed unifying principles and guidelines to govern how the Data Commons operates and what it means for digital objects in the Commons to be FAIR
- Developing and testing cloud-based platforms to store, manage and interact with biomedical data and tools
- Setting up the ability to access controlled-access data through appropriate authorization and authentication protocols
- Harnessing and further developing community-based tools and services that support interoperability between existing biomedical data and tool repositories and portability between cloud service providers
- Creating portals where users with all levels of expertise can access and interact with data and tools
- Learning by doing, which involves developing agile, iterative pilots of the Data Commons architecture/platform, testing its utility, troubleshooting, and retesting
- Analyzing and evaluating the products and processes of the Data Commons Pilot Phase for cost, utility, efficiency, usability, and adherence to FAIR data principles
The NIH Data Commons Pilot Phase is expected to span fiscal years 2017-2020, with an estimated total budget of approximately $55.5 Million, pending available funds.
Learn more about FAIR data principles.
For questions about the NIH Data Commons Pilot Phase, please contact Dr. Vivien Bonazzi at: email@example.com.