Data Sharing & Cyberinfrastructure Working Group
The quantity of data available for research continues to grow exponentially. Investments are being made in academia, industry, government and not-for-profits to efficiently connect computers, laboratories, data, and people for research and application. Too many of these efforts occur in isolation, creating missed opportunities for collaboration and potential gaps in tools and capabilities to accelerate innovation.
The Data Sharing and Cyberinfrastructure Working Group is a collaboration across all four of the Big Data Innovation Hubs, created to share research, provide linkages between research silos, and welcome new entrants in the national cyberinfrastructure (CI) space.
Activities
Each month, the working group brings together data scientists and cyberinfrastructure professionals to learn about topics of common interest.
Areas covered include data management and analytics tools and frameworks, and the use of data science to solve real-world problems in areas such as transportation, water quality, public health, and disaster response.
Specific Goals
The specific goals for the Working Group are:
- Increasing awareness and availability of CI and (big) data innovations for the national community, by catalyzing the people and initiatives that the working group represents.
- Helping to identify gaps in CI, capabilities, and data sources to foster further improvement in the national data research infrastructure, content, and capabilities.
- Recruiting and educating new communities, service providers, and data resources to expand the impact of the national data research infrastructure through pairing with other researchers or funding opportunities.
Chairs
Chair: Niall Gaffney, ngaffney@tacc.utexas.edu, South Big Data Hub
Co-chair: Christine Kirkpatrick, christine@sdsc.edu, West Hub
Co-chair: John Goodhue, jtgoodhue@mghpcc.org, Northeast Big Data Hub
Co-chair: James Wilgenbusch, jwilgenb@umn.edu, Midwest Big Data Hub
Watch the Demos
Our Initiatives
Launched by the National Science Foundation (NSF) in 2015 we engage communities, share resources, and build partnerships that harness the data revolution to address societal and scientific challenges.
Advanced Materials and Manufacturing
Digital Agriculture
Smart, Connected, and Resilient Communities
Water Quality
Big Data in Health
Health and Disparities
Smart Cities and Communities
Advanced Materials and Manufacturing
Environment and Coastal Hazards
Social Cybersecurity
Health
Education + Data Literacy
Urban to Rural Communities
Responsible Data Science: Security + Privacy Ethics