The Trusted Data Working Group

Open science relies on data integrity, collaboration, high-performance computing, and scalable tools to achieve results, but currently lacks effective cybersecurity programs that address the trustworthiness of scientific data.

The Trusted Data Working Group (TDWG) is a collaboration between the four Big Data Hubs and Trusted CI, the NSF Cybersecurity Center of Excellence, along with other partners. The goal of the working group is to understand scientific data security concerns and provide guidance on ensuring data trustworthiness.

Overview

The group formed in Fall 2019 and began its work in January 2020 with the design of a community survey to better understand scientific data security concerns and practices in the scientific research and cyberinfrastructure provider communities.

Participants

The working group received 111 detailed responses from a diverse collection of participants.

Outcomes

TDWG developed a best practices guidance document based on the survey responses and other research. View this and additional reports and presentations produced by the working group here: https://trustedci.org/2020-trustworthy-data

Engage

Subscribe to the Trusted Data Working Group mailing list: https://list.iu.edu/sympa/subscribe/trustedci-tw-data-l

Visit the working group website to learn more: https://www.trustedci.org/2020-trustworthy-data

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.

Metro/Urban Data Science

Precision Medicine

Natural Resources & Hazards 

Big Data Technology

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Advanced Materials and Manufacturing

Digital Agriculture

Smart, Connected, and Resilient Communities

Water Quality

Big Data in Health

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Health and Disparities

Smart Cities and Communities

Advanced Materials and Manufacturing

Environment and Coastal Hazards

Social Cybersecurity

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Health

Education + Data Literacy

Urban to Rural Communities

Responsible Data Science: Security + Privacy Ethics

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