The objective of this focus area is to develop recommendations and best practices for Responsible Data Science (RDS) by design, with security, privacy and ethical use of data and data science methods. This includes:
1. Enabling the development and dissemination of responsible data science best practices, such as building and deploying of integrative data equity systems, incorporating ethical and legal norms in all stages of the data science life cycle, with security, privacy and ethics
2. Engaging IEEE standards development activities for the TIPPSS framework – Trust, Identity, Privacy, Protection, Safety and Security – and its use in clinical Internet of Things, connected healthcare, and smart and connected communities
3. Collaborating with cybersecurity researchers and domain scientists to determine their needs and challenges regarding trustworthy data, and data driven cybersecurity, privacy, and ethics
Current Projects:
Trustworthy Data Working Group
Connected Healthcare Cybersecurity Initiative
Framework for Integrative Data Equity Systems
Responsible Data Science in Government – coming soon!
Responsible Data Science Tools and Techniques
Data Sharing and Cyberinfrastructure Working Group
Success Stories
Announcement of Student Paper Challenge and shared insights amongst COVID-19 researchers at the December COVID Information Commons webinar
Over 80 people convened for this month’s COVID webinar, as six NSF Rapid Response Research investigators from across the United…
Executive Director Florence Hudson discusses data science for good and data literacy at Iona College
On October 13, 2020, Executive Director Florence Hudson spoke at the Careers in Science program at Iona College. She discussed…
COVID-19 researchers share insights at the November COVID Information Commons webinar.
This month’s Covid Information Commons (CIC) webinar brought together researchers, students and leaders in nonprofits. The CIC serves as a…
Researchers from NYU Tandon release 3-D data tracking human interactions outside of coronavirus hotspots
Study to set groundwork to build machine learning models that rapidly analyze how a virus spreads In April when New…
Researchers studying COVID-19 share insights at first COVID Information Commons Community webinar
“Your site and the ability to come together is marvelous. I thank you especially for thinking about this and bringing us together. People will be able to use your site as a proper, safe, true information source.”
CUAHSI has been selected to be the Coordinating Hub for the Critical Zone (CZ) Collaborative Network
Guest post by Jerad Bales, Executive Director, CUAHSI The Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI)…
Water Data and Software Services to Support Discovery, Reproducibility, and Collaboration in the Water-Resources Domain and Beyond
CUAHSI’s Compute Services enable education and research in the cloud. In addition to tools that enable data discovery and publication,…
Announcing the Northeast Big Data Hub Seed Fund Program
The Northeast Big Data Hub is delighted to announce our Seed Fund program this month. Designed to promote collaboration in…
Big Data Hubs Partnering on Nation-Wide Data Storage Network
We live in the age of the data deluge, with research group IDC forecasting that humankind will create and replicate…
“Enabling Seamless Data Sharing in Industry and Academia” Workshop Report Released
Click here to access the report Data sharing challenges are extensive in cases involving industry and academia, and highlight the need…
NEBDIH Data Sharing Workshop a Success: “I wish I could have gone to this workshop two years ago!”
On September 29th and 30th, stakeholders from across the Northeast and beyond joined the Hub at Drexel University in Philadelphia for…
Northeast Big Data Innovation Hub Awarded $3.3 million to Create Solutions to Pressing Challenges in Health, Education and Data Sharing
Click here for a PDF version of this release. Click here for the press release from the National Science Foundation…