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MBDH Spoke Awardee Guides Open Source Computational Research Infrastructure for Science

The newly released open source Computational Research Infrastructure for Science (CRIS) was developed with contributions from a Midwest Big Data Hub (MBDH) Planning Grant, “Cyberinfrastructure to Enhance Data Quality and Support Reproducible Results in Sensors.” CRIS provides an easy to use, scalable, and collaborative scientific data management and workflow cyberinfrastructure.

CRIS was developed at Purdue University under the technical leadership of Peter Baker and the scientific supervision of Professor Elisa Bertino. Dr. Bertino is the PI of the MBDH Planning grant, which contributed by assessing the quality tools and versioning techniques provided by CRIS. Within the grant, the developers are currently working on provenance models and techniques, and provenance interoperability for the CRIS provenance model.

More information can be found here.

NSF awards connect Midwest Big Data Hub and scientists to solve regional challenges

Today, the National Science Foundation (NSF) announced $10 million in “Big Data Spokes” awards to initiate research in specific areas identified, supported, and organized by the Big Data Regional Innovation Hubs (BD Hubs). $2.4 million in Big Data Spoke, Early­ Concept Grants for Exploratory Research (EAGER) and planning awards will connect the Midwest Big Data Hub (MBDH) and midwestern data scientists, to support digital agriculture; community-driven and sustainable neuroscience data infrastructure; improved sensor technologies; citizen scientists and real-time air quality monitoring; and new data-to-decision systems in hazards management by partnering data scientists with emergency personnel.

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Digital Agriculture Spoke All-Hands Meeting – May 16-17, 2016

Videos of the presentations are now available!

The 2016 Digital Agriculture Spoke All-Hands Meeting to be held on May 16-17 at the Scheman Building, Iowa State Center, Ames, Iowa. The Digital Agriculture Spoke of the Midwest Big Data Hub is devoted to building partnerships and resources that will address emerging Big Data issues in the agricultural ecosystem.

Stakeholders from academia, industry, government, and other organizations will engage in interactive discussions about the partnerships and resources that will be needed to address the challenges in collecting, managing, serving, mining, and analyzing rapidly growing and increasingly complex data and information collections to create actionable knowledge and guide decision-making in agriculture.

Events will include presentations by Midwest Big Data Hub and national leadership; industry panel presentations and Q&A; participant lightning talks; and breakout sessions to discuss existing projects and to develop ideas and partnerships for new projects; and a poster session and reception.

Early career researchers, post-docs, graduate students, and undergraduate students are encouraged to attend. There is no registration fee for this meeting.