Focus on Responsible Data Science: Security + Privacy + Ethics

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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 on Responsible Data Science

Trustworthy Data Working Group

Cybersecurity as Big Data Science Interactive Workshop

Cybersecurity Risk Initiative (2019)

Framework for Integrative Data Equity Systems

Data Sharing and Cyberinfrastructure Working Group

Global Connected Healthcare Cybersecurity Workshop Series (IEEE)

Standard for Clinical Internet of Things (IoT) Data and Device Interoperability with TIPPSS – Trust, Identity, Privacy, Protection, Safety, Security (IEEE Working Group and Standard)

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Upcoming Responsible Data Science Events

Responsible Data Science Professional Opportunities

Responsible Data Science Career Opportunities

Responsible Data Science Resources

The Business Case for Security, Cybersecurity & Infrastructure Security Agency

IEEE DataPort Open-Source Datasets – Security, IEEE

State of Open Data 2021, Springer Nature

Trusted CI Guide to Securing Scientific Software, TrustedCI

White Paper – Pre-Standards Workstream Report: Clinical IoT Data Validation and Interoperability with Blockchain, IEEE

Responsible Data Science Success Stories