Swedish National Infrastructure for Computing joins iRODS Consortium

Organization is now implementing new iRODS-based infrastructure

CHAPEL HILL, NC – The Swedish National Infrastructure for Computing (SNIC), a national research infrastructure hosted at universities across Sweden, is the newest member of the iRODS Consortium, the membership-based foundation that leads development and support of the integrated Rule-Oriented Data System (iRODS).  Read more

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RENCI to lead one of 12 projects to create an NIH Data Commons

The National Institutes of Health (NIH) has tapped the University of North Carolina at Chapel Hill and RENCI, a UNC technology research institute, to lead a project that is part of a nationwide effort to develop an NIH Data Commons, a shared virtual space where biomedical researchers can easily and securely work with data, analytical tools, and applications.  Read more

New project aims to bring semantics to evolutionary trees

Project team from left to right: Todd Vision, UNC-Chapel Hill; Jim Balhoff, RENCI; Wasila Dahdul, University of South Dakota; Josef Uyeda, Virginia Tech; and Hilmar Lapp, Duke University.

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.

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Chameleon Cloud Computing Project enters new phase with $10M award

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. 

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SILS student awarded Thomas M. Carsey Scholarship in Data Science

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

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Data Fellows project aims to make storm surge predictions faster and more accurate

By Nelson Tull

Note: Nelson Tull is a graduate student in the Department of Civil, Construction, and Environmental Engineering at North Carolina State University. His faculty advisor, Casey Dietrich, is an NCDS Data Fellow conducting research to improve hurricane and storm surge guidance to emergency managers in North Carolina’s coastal counties. Dietrich’s Data Fellows research builds on previous work supported by the North Carolina Sea Grant program. Other collaborators are Rick Luettich, head of the Institute of Marine Sciences at UNC-Chapel Hill, Brian Blanton, a senior research scientist and oceanographer at RENCI, and Jason Fleming of Seahorse Coastal Consulting. To learn more about this research, tune into the September 2017 NCDS DataBytes webinar.

When lives are on the line, minutes count but so does accuracy
Storm surge model forecasts are a critical tool used by coastal emergency managers to plan and make decisions. These models must be both accurate and fast to give reliable information in a timely manner as a storm moves toward the coast. The forecast guidance must also be visualized in a way that is meaningful to those who need this vital information. Read more

BRAIN-I project uses RENCI cyberinfrastructure called xDCI to manage brain microscopy images

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

iRODS Consortium welcomes OCF as newest member

UK-based technical support provider will now have a role in future iRODS development

CHAPEL HILL, NC – OCF, an organization that specializes in supporting the data challenges of private and public organizations in the UK, is the latest organization to join the iRODS Consortium, the membership-based foundation that leads development and support of the integrated Rule-Oriented Data System (iRODS).

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RENCI to lead $3 million project aimed at enabling safe and secure data sharing

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

Presentations at upcoming meeting highlight worldwide uses of iRODS

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

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