CHAPEL HILL, NC – Researchers at the University of North Carolina at Chapel Hill will play key roles in a new project that applies semantic technologies developed by computer and information scientists to the field of evolutionary biology.
Cloud computing lies behind many of today’s most popular technologies, from streaming video and music to email and chat services to storing and sharing family photos. Since 2015, the Chameleon testbed has helped researchers push the potential of cloud computing even further, finding novel scientific applications and improving security and privacy.
A new grant from the National Science Foundation will extend Chameleon’s mission for another three years, allowing the project led by University of Chicago with partners at the Texas Advanced Computing Center (TACC), Renaissance Computing Institute (RENCI), and Northwestern University to enter its next phase of cloud computing innovation. Upgrades to hardware and services as well as new features will help scientists rigorously test new cloud computing platforms and networking protocols.
Xueli Fan, a graduate student in the School of Information and Library Science (SILS) at UNC-Chapel Hill, was recently named 2017-2018 recipient of the Thomas M. Carsey Scholarship in Data Science.
The scholarship program gives talented UNC-Chapel Hill students the chance to work on real data science problems and domain science problems that use data and data science techniques in the discovery process. Launched by RENCI, Carsey scholars are paid for up to 20 hours per week to work with RENCI research teams and collaborators. Read more
Sharing massive image files just became easier
Today’s advanced microscopes have revolutionized biology by giving scientists the ability to view 3D biological structures at the cellular and molecular level. However, that ability has created another problem: How to share and manage massive image files that can each be as large as 1 terabyte (TB), with possibly more than 50 TBs of data for the entire research project. (A terabyte equals 1 trillion bytes of data, or about 150 hours of HD quality recording). Read more
CHAPEL HILL, NC – RENCI and partners at UNC-Chapel Hill, Duke University, Indiana University and the city of Durham, NC, will work together on a project that aims to allow scientists to share and analyze data across institutional boundaries while keeping that data safe and in compliance with regulations that control data location, availability, movement and access. Read more
Go to irods.org to register for the 2017 User Group Meeting at Utrecht University
UTRECHT, The Netherlands – Users will take the spotlight during the annual iRODS User Group Meeting, which will feature at least 20 user presentations highlighting the many industries, government agencies, and research institutes who depend on iRODS to manage their data.
iRODS—the integrated Rule Oriented Data System—is free open source software for data management and discovery, workflow automation, secure collaboration, and data virtualization. iRODS software is developed and maintained through the support of the iRODS Consortium, a membership organization with industry and academic members worldwide. Read more
New plugins to be highlighted; register now at irods.org
The worldwide iRODS community will gather June 13 – 15 for the first User Group Meeting to be held at Utrecht University in The Netherlands.
Along with use cases and presentations by iRODS users from at least seven countries, the meeting will offer a glimpse at new technologies that will soon be available alongside iRODS 4.2. Read more
RENCI teams with Clemson and WSU on $2.95 million project to improve and simplify large-scale data analysis
CHAPEL HILL, NC – RENCI researchers will work with scientists from Clemson University and Washington State University on a project funded by the National Science Foundation to develop cyberinfrastructure aimed at providing researchers around the nation and world with a more fluid and flexible system of analyzing large-scale data.
The NSF awarded $2.95 million for a collaborative project that will unite biologists, hydrologists, computer engineers and computer scientists to design a system called Scientific Data Analysis at Scale (SciDAS). Read more