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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.

Midwest Big Data Hackathon, University of Iowa

October 8–9, 2016
Iowa City, Iowa

The Midwest Big Data Hackathon is a 2-day, non-stop hackathon with 150 participants, and it will be held at University of Iowa—in the heart of downtown Iowa City, USA. The event is open to all university students that have a passion for creating things with technology!

Students will form teams to work on their project (or ‘hack’) up to 4 members. Projects are open format, which means that you can hack on web, mobile, desktop, or hardware applications. Company mentors will be available throughout the event for questions to make sure beginners and experts alike will have the help they need to successfully develop their project. All teams will demo their hacks at the end of the event and winners will be chosen by company mentors.

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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Data Quality in a Big Data Era

September 28-29, 2016
Cyberinfrastructure Building, Wrubel Lobby, Indiana University
Bloomington, Indiana

What is data quality and what does it mean in the age of big data? Throughout the history of modern scholarship, the exchange of scholarly data was undertaken through personal interactions among scholars or through highly curated data archives, such as ICPSR (Inter-University Consortium for Political and Social Research). In both cases, implicit or explicit provenance mechanisms gave a relatively high degree of insurance of the quality of the data. However, the ubiquity of the web and mobile digital culture has produced disruptive new forms of data such as those based on citizen science, social network transactions, or massively deployed automatic sensors. Integrity and trustworthiness of these data are uncertain due to issues such as sampling characteristics, expertise of the data producers, or quality of the instruments. As these data are shared, fused, homogenized, and mixed, we need to ask ourselves what we know about the data and what we can trust. Failure to answer these questions endangers the integrity of the science produced from these data.

For more information, go to


There is no cost to attend but space is limited to 50 attendees. Registration will be available from August 5, 2016 until September 19, 2016. Early career scientists and researchers will be selected to predominantly fill available seats.

Travel Support

Travel support—automobile and lodging—for non-IU participants who are working in industry, government, or non-profit sectors is available. Qualified individuals are expected to present their work in a poster session Sept. 28, 2016 to showcase the breadth of developments occurring in Big Data. To be considered, please register by September 9, 2016 and apply for travel support. Application details are available at

Questions about the data quality workshop should be sent to Jill Minor,

Food and Data Workshop: Interoperability through the Food Pipeline

September 12-13, 2016
University of Illinois at Urbana-Champaign

The increasing ability to capture data at the level of individual agricultural fields, individual culinary recipes, and individual food waste digesters is allowing analytics-based optimization within the distinct industries responsible for producing, transporting, trading, storing, processing, packaging, wholesaling, retailing, consuming, and disposing of food. Yet addressing the pressing national/global challenges in food security due to climate change, as well as public health challenges such as obesity and malnutrition, requires optimization across the food pipeline. The Food and Data Workshop: Interoperability through the Food Pipeline, September 12-13 in the CSL Auditorium (B02), is concerned with understanding the relationship between data and food writ large, with a particular focus on questions of interoperable data ontologies, privacy, and analytic insights.

For more information and to register go to

Midwest Workshop on Neuroscience Big Data

September 20-21, 2016
Ann Arbor, Michigan

Students, trainees, fellows, junior investigators, and outside researchers in Midwest academic institutions and industry partners are invited to attend and actively participate in the Midwest Workshop on Neuroscience Big Data. Expected workshop outcomes include (1) building an active Midwest Neuroscience Network Community, (2) open-sharing of data-intense challenges, datasets, research projects, expertise, software, services, protocols, resources, learning modules, and (3) productive discussions of joint (multi-institutional) grants, training opportunities, publications, research projects. The workshop success will be measured by assessing the community involvement (early registration, active workshop participation, post-workshop activities and interactions), website analytics (geographic locations of income traffic, counts, frequencies, and intensity of web-site utilization, and evidence of collaborations on development of software tools, services, learning materials, end-to-end pipeline workflows.

Registration is free, but space is limited. Sixty scholarships are being offered to students, post doctoral scholars and early career investigators in form of travel and lodging support to attend the workshop.

Missouri S&T Research and Technology Development Conference

September 12-13, 2016
Havener Center
Rolla, Missouri

Midwest Big Data Hub is hosting an Early Career lightning talk session on the topic of data in a research project setting at the Missouri S&T Research and Technology Development Conference. Travel reimbursement for presenters is available for up to $250/presenter. Pre-tenured faculty, post-docs, graduate students, and undergraduates are encouraged to give a quick 5-minute presentation on any data issue of relevance to a research project in which you participated. Eight to ten lightning talks will be scheduled. Apply today!

Symposium on Frontiers in Big Data

Friday, September 23, 2016 and Saturday, September 24, 2016
University of Illinois at Urbana-Champaign

You are cordially invited to attend the Grainger Foundation-sponsored “Symposium on Frontiers in Big Data” on September 23-24 at the University of Illinois at Urbana-Champaign campus. It is a great opportunity to:

  • Listen to invited talks, interview dialogs, panels, and debates regarding new challenges of Big Data;
  • Explore Big Data Frontiers in Bioinformatics, Agriculture, Systems, Optimization, and Machine Learning, with nationally renowned speakers, including:
    • Michael Franklin (University of Chicago),
    • Al Hero (University of Michigan),
    • Michael Jordan (University of California, Berkeley),
    • James Krogmeier (Purdue University),
    • George Lan (Georgia Institute of Technology),
    • Mihai Pop (University of Maryland),
    • Dana Randall (Georgia institute of Technology),
    • Robert Tempelman (Michigan State University),
    • John Wilkes (Google Inc.);
  • Meet nationally renowned UIUC Big Data researchers and engage in discussions with speakers during the symposium and the reception.

Registration is free but required due to meal planning. Please register by September 8, 2016.

If you have any questions about the Symposium on Frontiers in Big Data, please contact Doris Bonnett ( For more information and the tentative agenda, please visit the Symposium website.

Big Data for Health and Medicine Workshop — August 11, 2016

Join us on August 11, 2016 for a workshop to discuss challenges in using big data for driving health and medicine at the University of Nebraska at Omaha College of Information Science & Technology! Our goal is to encourage discussion on challenges currently facing health-related industries with regards to data collection, gathering, storage, and analysis. We hope to bring together representatives from industry, government, non- profits, and academia to discuss the following current topics of interest for health and medicine:

  • Wearables (FitBit, Jawbone UP, Polar)
  • Quantified Self and IoT
  • Predictive medicine
  • Precision medicine
  • Analytics for health
  • Data collection & storage
  • Data analysis
  • Security concerns
  • Collaboration
  • Smart cities
  • Food for health
  • Reproducibility and robustness
  • Data science
  • …and related topics

In the afternoon we will hold concurrent sessions. The Technical Track will consist of an Introduction to R workshop, designed for participants in industry, government, and non-profit with limited programming background, or with experience in other languages (SAS, SPSS) looking to investigate the open-source R language. This workshop will be free for the first 45 participants. The concurrent Breakout Track will provide opportunities for discussion, collaboration, and sharing their own personal challenges in dealing with data in health-related fields.

Registration is free for the first 45 participants!

Tentative Agenda

9:00A — Welcome and introduction
9:30A — Keynote – Tentative Topic: Big Data Challenges in Health-related Fields
10:30A — Coffee break
10:45A — Keynote – Tentative Topic: Team Science Approaches to Collaboration in Big Data
11:45A — Panel and lunch (*lunch is included with registration)

Technical Track
Workshop: Intro to Data Analysis with R*
Audience: Beginner/Intermediate
*Limited to first 30 participants to sign up.

Breakout Track
A number of speakers will be joining us for discussions on high performance computing, green computing, analytics needs, and related topics.

4:00P-5:00P — Reception and Poster Session

Big Data for Health and Medicine Workshop

Thursday, August 11, 2016
Peter Kiewit Institute — Omaha, NE