University of Colorado Boulder Research Computing joins iRODS Consortium

Published: June 19, 2019

The iRODS Consortium, the foundation that leads development and support of the integrated Rule-Oriented Data System (iRODS) data management software, welcomes University of Colorado Boulder (CU Boulder) Research Computing as its newest Consortium member.

CU Boulder Research Computing provides computing and data beyond the desktop to CU Boulder researchers and students. This includes large-scale computing resources, storage of research data, high-speed data transfer, data sharing support, and consultations in computational science and data management. 

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Training, talks, and a hackathon bring users together for iRODS 2019 User Group Meeting

Published: June 11, 2019

Seats are filling fast for international gathering of data management experts

Users of the integrated Rule Oriented Data System (iRODS) will gather at Utrecht University in the Netherlands June 26-27 for an annual opportunity to discuss iRODS-enabled applications and discoveries.

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iRODS Consortium welcomes Maastricht University as newest member

Published: December 6, 2018

Maastricht University, led by the efforts of DataHub Maastricht, which provides data management services to researchers from the university and academic hospital, has joined the iRODS Consortium, the foundation that leads development and support of the integrated Rule-Oriented Data System (iRODS). Maastricht is the fourth organization from the Netherlands to join the consortium, after Utrecht University, the SURF cooperative and the University of Groningen.

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The Biomedical Data Translator Consortium announces publication of companion pieces

Published: November 15, 2018

Prototype ‘Translator’ system shows promise and has garnered much enthusiasm roughly one year into feasibility assessment

The newly formed Biomedical Data Translator Consortium today announced the release of two inaugural publications in Clinical and Translational Science. The first paper, “Toward a Universal Biomedical Data Translator,” describes the efforts of the Consortium to develop a ‘Translator’ system designed to integrate a variety of data sources and translate the data into insights that can drive innovation and accelerate translational research. The second paper, “The Biomedical Data Translator Program: Conception, Culture, and Community,” focuses on the scientific community that has coalesced to support the program and drive research and development of the prototype Translator system.

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New Project Will Advance Virtual Laboratory Infrastructure

Published: October 4, 2018

A new grant from the National Science Foundation (NSF) will fund operation of the Global Environment for Network Innovations (GENI) virtual laboratory for the next two years and support researchers in planning a new infrastructure to replace GENI. The NSF allocated $1.7 million to the effort, called Enabling NeTwork Research and the Evolution of a Next Generation Midscale Research Infrastructure (ENTeR). The project will be jointly led by researchers from the Renaissance Computing Institute (RENCI) of the University of North Carolina at Chapel Hill and their collaborators from the University of Kentucky (UK).

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RENCI Named as Collaborating Institution for $3 Million Cyberinfrastructure Center of Excellence Pilot

Published: October 3, 2018

Project will create a model for advising NSF’s largest scientific facilities

The National Science Foundation today named the Renaissance Computing Institute (RENCI) of the University of North Carolina at Chapel Hill as a collaborating institution on a $3 million pilot project to create a model and strategic plan for a Cyberinfrastructure Center of Excellence (CI CoE). The goal of the effort is to establish a reservoir of expertise on best cyberinfrastructure practices for the nation’s largest research facilities.

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Cloudian Joins the iRODS Consortium

Published: September 18, 2018

HyperStore Enterprise Object Storage Validated with iRODS Platform

Cloudian has joined the iRODS Consortium, the foundation that leads development and support of the integrated Rule-Oriented Data System (iRODS). Testing for HyperStore enterprise object storage with iRODS is complete, and users may now deploy the combined solution where local workflows require cost-effective, exabyte-scalable storage and ease of integration.

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Texas Advanced Computing Center Joins the iRODS Consortium

Published: September 5, 2018

The Texas Advanced Computing Center (TACC), a supercomputing center that provides scientists with some of the world’s most powerful computing resources to enable discoveries, is the latest organization to join the iRODS Consortium.

TACC, based at The University of Texas at Austin, designs, deploys, and operates a wide range of high performance computing systems used by thousands of scientists each year to study problems in biology, medicine, environmental sciences, nanomaterials, astrophysics, and much more.  

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RENCI to Lead Two $1 Million Grants to Support Data-Intensive Scientific Research

Published: August 27, 2018

Projects aim to improve scientific productivity and protect data from inadvertent errors

Two new $1 million awards from the National Science Foundation aim to help researchers take advantage of the latest advances in data science, networking and computation while protecting the integrity of their scientific work. The Renaissance Computing Institute (RENCI) of the University of North Carolina at Chapel Hill will serve as lead institution on both projects.  Read more

South Big Data Hub partners on development of new nationwide data storage network under NSF grant

Published: June 22, 2018

The Open Storage Network will enable researchers to manage data more efficiently than ever before.

The South Big Data Hub is one of four regional big data hub partners awarded a $1.8 million grant from the National Science Foundation (NSF) for the initial development of a data storage network over the next two years. A collaborative team will combine their expertise, facilities, and research challenges to develop the Open Storage Network (OSN). The OSN will enable academic researchers across the nation to work with and share their data more efficiently than ever before, according to the NSF announcement.  Read more