National Academy BRDI Open Challenge on Research Data and Information

National Academy BRDI Open Challenge on Research Data and Information

As a way of raising awareness and stimulating thinking about the potential for new uses of research data and information, the US National Academy of Sciences Board on Research Data and Information, has issued an open challenge for exemplary projects. The announcement is below:

The National Academy of Sciences Board on Research Data and Information (BRDI; www.nas.edu/brdi) announces an open challenge to increase awareness of current issues and opportunities in research data and information. These issues include, but are not limited to, accessibility, integration, searchability, reuse, sustainability, perceived versus real value and reproducibility. A Letter of Intent is requested by December 1, 2013 and the deadline for final entries is May 15, 2014.
Awardees will be invited to present their projects at the National Academy of Sciences in Washington DC as part of a symposium of the regularly scheduled Board of Research Data and Information meeting in the latter half of 2014.
More information is available at http://sites.nationalacademies.org/PGA/brdi/PGA_085255. Please contact Cheryl Levey (clevey@nas.edu) with any questions.

Advanced Research Computing, ARC News | University of Michigan Office of the Vice President for Research

ARC News by the University of Michigan Office of the Vice President for Research

Check out these events and opportunities from the advanced research computing community at U-M and beyond:

“ICOS Boot Camp” participants tackle Big Data
Finding “true and interesting things” in the teeming complexity of Big Data was the goal for the 35 participants in the first annual “ICOS Boot Camp” held this summer by the Interdisciplinary Committee on Organizational Studies (ICOS) and Advanced Research … Continue reading →

Intel offers video on Math Kernel Library
As part of its “5 Minute Guide to Parallel and Vector Software Programming,” Intel is offering a video titled “Faster math performance with Intel Math Kernel Library.” According to the video description, the library provides optimized math routines including BLAS … Continue reading →

Digital Humanities Data Curation Workshop deadline coming Aug. 7
Applications to attend the Digital Humanities Data Curation workshop at the University of Maryland in College Park, MD, October 16-18 are being accepted through August 7. The workshop will provide a strong introductory grounding in data curation concepts and practices, … Continue reading →

UM-Flint to open GIS center
Besides providing valuable information to student and faculty researchers, a new center under construction in the UM-Flint Earth and Resource Science Department (ERS) could aid local and regional government and private businesses in making important decisions. Faculty committees and Provost Gerard Voland …Continue reading →

UM Press accepting entries for digital humanities prize
The University of Michigan Press, the UM Series in Digital Humanities and the Humanities, Arts, Science, and Technology Alliance and Collaboratory (HASTAC) are accepting submissions for the 2014 UM Press/HASTAC Digital Humanities Publication Prize. The award, an advance contract, will … Continue reading →

Social Good Data: Grant Opportunity

The Grand Challenges in Global Health is providing a grant opportunity for researchers who are interested in increasing the interoperability of social good data.
According to the website:
Through this challenge, we’re looking for game-changing ideas we might never imagine on our own and that could revolutionize the field. We are looking for ideas that might provide new and innovative ways to address the following:
  • Improving the availability and use of program impact data by bringing together data from multiple organizations;

  • Enabling combinations of data through application programming interface (APIs), taxonomy crosswalks, classification systems, middleware, natural language processing, and/or data sharing agreements;

  • Reducing inefficiency for users entering similar information into multiple systems through common web forms, profiles, apps, interfaces, etc.;

  • Creating new value for users trying to pull data from multiple sources;

  • Providing new ways to access and understand more than one data set, for example, through new data visualizations, including mashing up government and other data;

  • Identifying needs and barriers by experimenting with increased interoperability of multiple data sets;

  • Providing ways for people to access information that isn’t normally accessible and combing that information with open data sets.