Nature has introduced a new blog called Data Matters. Data Matters will present interview with scientists, funders, and librarians on data sharing and standards topics. They’ve already interviewed two UT Austin researchers, Timothy Rowe and Russell Poldrack.
First Hands-On Workshop on Leveraging High Performance Computing Resources for Managing Large Datasets
Workshop Theme: Towards Breaking the Big Data Iceberg
A one-day hands-on workshop on leveraging High Performance Computing (HPC) resources for Big Data management will be held between October 27 to October 30, 2014 in Washington D.C. This workshop is collocated with the 2014 IEEE Big Data conference. The target audience includes, but is not limited to, archivists, librarians, data curators, researchers, educators and students.
No prior HPC experience is required. During this hands-on workshop, the participants will:
- Get acquainted with the Big Data management challenges and learn about some of the solution strategies to mitigate those challenges using HPC
- Get an introduction to the national CyberInfrastructure called XSEDE, and the high-end storage and computing environment at the Texas Advanced Computing Center (TACC)
- Get access to the TACC computing and storage resources for participating in the hands-on sessions
- Develop practical skills for defining Big Data management workflows on HPC resources
For detailed information about the workshop and the agenda, click here.
Location of the Workshop: Hyatt Regency Bethesda, Bethesda, Maryland 20814, USA
Dates for the 2014 IEEE Big Data Conference: October 27 to October 30, 2014
Schedule of the Workshop: The precise date is not known yet, but it will take place 8:30 AM to 6 PM between October 27 to the 30, 2014
Total Conference Registration Fees for non-IEEE members: $780, if registered by October 5, $996 after October 5
One-day conference registration fees (if only attending the workshop): $300
To register for the conference, click here.
Syracuse University has launched A Capability Maturity Model for Research Data Management (CMM for RDM). This wiki, and associated blog, are designed to highlight best practices for data management and to allow administrators and researchers to evaluate RDM processes for sustainability and effectiveness.
CMM for RDM main wiki page: http://rdm.ischool.syr.edu/xwiki/bin/view/CMM+for+RDM/WebHome
About page with links to both blog and wiki: http://rdm.ischool.syr.edu/xwiki/bin/view/Main/