[PT2021] Training Invitation on Data Protection in Research and Development
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Course on Data Protection in Research and
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5
Days Course Fee= 1100 USD
10
Days Course Fee=2200 USD
Online
Training Fee=600USD
Training
Course on Data Protection in Research and
Development
Introduction
In
today’s fast-paced digital world, data protection in research and development
(R&D) has become a critical concern for organizations, institutions, and
innovators. With increased scrutiny from regulatory bodies and growing threats
from cybercriminals, it is essential for professionals in R&D to understand
and implement robust data privacy, compliance strategies, and secure data
governance frameworks. Training Course on Data Protection in Research and
Development is designed to equip participants with comprehensive knowledge of
data protection laws, compliance obligations, and industry best practices
tailored specifically to the R&D environment.
This
course combines theoretical foundations with real-world case studies to
demonstrate how data protection regulations such as GDPR, HIPAA, and ISO/IEC
27001 apply to R&D settings. Participants will learn how to assess data
privacy risks, design ethical data handling strategies, and manage cross-border
data flows while protecting intellectual property and ensuring regulatory
compliance.
Duration
5
Days
Course
Fee:
1100 USD
Register
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HERE
Course
Objectives
Understand
the fundamentals of data protection in R&D
environments.
Explain
the legal and ethical principles of GDPR, HIPAA, and data privacy
laws.
Assess
risks associated with data breaches in scientific
research.
Apply
privacy-by-design principles in R&D projects.
Develop
frameworks for secure data storage and transmission.
Identify
and mitigate compliance risks in clinical trials and innovation
labs.
Learn
data anonymization and pseudonymization techniques.
Analyze
cross-border data transfer challenges and solutions.
Establish
data governance strategies for R&D teams.
Create
effective incident response plans for R&D data
breaches.
Explore
AI ethics, data ethics, and their role in R&D.
Evaluate
real-world case studies on data privacy failures in
R&D.
Design
customized data protection policies for your organization’s R&D
division.
Target
Audience
Research
Scientists
Data
Privacy Officers
IT
Security Professionals
Clinical
Research Coordinators
Academic
Researchers
Innovation
and R&D Managers
Compliance
and Risk Analysts
Legal
Advisors in R&D Fields
Course
Duration: 5
days
Course
Modules
Module
1: Foundations of Data Protection in R&D
Introduction
to data protection principles
Importance
of data privacy in research environments
Key
R&D-specific data vulnerabilities
Overview
of data types in research (PII, PHI, IP)
Regulatory
landscape (GDPR, HIPAA, local laws)
Case
Study: GDPR
breach in a European biotechnology firm
Module
2: Legal and Ethical Frameworks
Core
legal obligations under GDPR, HIPAA, and CCPA
Informed
consent and data subject rights
Ethical
considerations in biomedical and AI research
Intellectual
property vs data privacy conflicts
International
standards (ISO/IEC 27001, 27701)
Case
Study: Ethics
violations in genetic data research
Module
3: Risk Assessment and Data Breach Management
Identifying
and classifying R&D data risks
Conducting
Data Protection Impact Assessments (DPIAs)
Common
breach scenarios and mitigation strategies
Role
of Data Protection Officers (DPOs)
Breach
notification requirements and timelines
Case
Study: University
data breach from unsecured servers
Module
4: Privacy by Design and Secure Architecture
Principles
of privacy-by-design and by-default
Embedding
security in R&D project lifecycles
Designing
privacy-first data collection methods
Secure
research platforms and cloud environments
Tools
and technologies for privacy compliance
Case
Study: Secure
design implementation in a clinical trial system
Module
5: Data Governance and Lifecycle Management
Establishing
data governance frameworks
Data
classification, storage, and access controls
Retention,
archival, and destruction policies
Collaboration
and data-sharing policies
Building
a culture of data responsibility
Case
Study: Data
lifecycle mismanagement in a pharma company
Module
6: Cross-Border Data Transfers and Global Compliance
Challenges
of international data flow in R&D
Data
transfer mechanisms (SCCs, BCRs, adequacy decisions)
Compliance
with regional laws (EU, US, APAC)
Legal
responsibilities for multinational R&D teams
Role
of cloud providers and third-party vendors
Case
Study: Cross-border
data transfer failure in multinational research
Module
7: Data Anonymization and Pseudonymization
Importance
of de-identification in research datasets
Techniques
for anonymizing sensitive data
Pseudonymization
tools and frameworks
Balancing
research utility and privacy
Regulatory
guidance on anonymization standards
Case
Study: Improper
anonymization in social science research
Module
8: Incident Response and Policy Development
Building
a comprehensive incident response plan
Steps
to handle R&D data leaks and hacks
Internal
reporting and documentation practices
Training
staff on data protection protocols
Creating
tailored data protection policies
Case
Study: Delayed
breach response in a tech startup’s R&D lab
Training
Methodology
Interactive
lectures with expert trainers
Hands-on
workshops using real R&D scenarios
Group
discussions and role-play exercises
Case
study analysis and problem-solving
Knowledge
checks and policy development activities
Register
as a group from 3 participants for a Discount
Send
us an email: info at datastatresearch.org
or call ++254724527104
Certification
Upon
successful completion of this training, participants will be issued with a
globally- recognized certificate.
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