Data Governance and Ethics
Mastering the Art of Ethical Data Management
Why This Training?
In today's data-centric world, proper data governance is crucial not only for compliance but for organizational success. Beyond just governance, ethical considerations play an essential role in ensuring trust and respect with stakeholders and customers. This training unravels the complexities of data governance and the importance of ethics, offering a clear roadmap for implementing effective strategies and practices.
Duration: 15 Hours (online / virtual live session)
Who Should Attend?
Data professionals and analysts looking to deepen their understanding of data governance.
Compliance and regulatory officers tasked with ensuring data privacy and ethics.
Managers and decision-makers aiming to foster a culture of data governance in their organizations.
Anyone interested in the world of data management and its ethical implications.
Compliance and regulatory officers tasked with ensuring data privacy and ethics.
Managers and decision-makers aiming to foster a culture of data governance in their organizations.
Anyone interested in the world of data management and its ethical implications.
Course Highlights
Holistic Approach: Dive deep into both the practical aspects of data governance and the critical ethical considerations in data management.
Expert Insights: Learn from industry professionals with hands-on experience in establishing data governance frameworks.
Expert Insights: Learn from industry professionals with hands-on experience in establishing data governance frameworks.
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Interactive Learning: Engage in group discussions, case studies, and real-world scenarios to consolidate your understanding.
Future-Ready: Explore the challenges and opportunities in data governance as the digital landscape continues to evolve.
Future-Ready: Explore the challenges and opportunities in data governance as the digital landscape continues to evolve.
Pre-requisites
Basic understanding of data management concepts.
Familiarity with data privacy regulations would be beneficial but not mandatory.
Familiarity with data privacy regulations would be beneficial but not mandatory.
Training Materials Needed by Participants
Laptop or desktop computer with internet connectivity.
Recommended reading: "Data Governance: The Definitive Guide" (participants will be provided with select chapters).
Notebook and pen for taking notes.
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Training Content
Data Governance and Ethics
Session 1: Introduction to Data Governance
Understanding Data Governance:
- Definition and significance
- The evolution of data governance in the digital age
The Pillars of Data Governance:
- Data stewardship
- Data quality
- Data lineage
- Data security
Data Governance Frameworks and Best Practices:
- Different governance frameworks
- Adopting a framework suitable for your organization
Session 2: Data Quality and Metadata Management
The Importance of Data Quality:
- Defining data quality dimensions: accuracy, completeness, reliability, and timeliness
- Impacts of poor data quality
Metadata Management:
- Understanding metadata
- Tools and strategies for metadata management
- Metadata and data lineage
Data Cataloging and Data Dictionaries:
- The importance of a centralized data inventory
- Building and maintaining a data dictionary
Session 3: Data Privacy, Protection, and Compliance
Data Privacy Principles:
- Understanding data privacy
- GDPR, CCPA, and other data protection regulations
Implementing Data Privacy in Governance:
- Data anonymization and pseudonymization
- Privacy by design and by default
Compliance and Auditing:
- Compliance in data governance
- Strategies for regular auditing and compliance checks
Session 4: Data Ethics in the Age of AI and Big Data
Introduction to Data Ethics:
- Why ethics matter in data management
- Real-world incidents highlighting ethical considerations
Ethical Concerns in Data Collection and Usage:
- Consent and data collection
- Bias, fairness, and transparency in data usage
AI, Machine Learning, and Ethics:
- The challenges of black-box algorithms
- Ensuring fairness and avoiding bias in machine learning models
Session 5: Implementing and Sustaining Data Governance and Ethics
Building a Data Governance Team:
- Roles and responsibilities: data stewards, data owners, and governance boards
- Setting up a data governance office
Data Governance and Organizational Culture:
- Promoting a data-driven culture
- Overcoming resistance and challenges in implementation
Case Studies and Future Trends:
- Reviewing real-world implementations of data governance and ethics
- Looking ahead: The future of data governance in an ever-evolving digital landscape
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Ali Hessami is currently the Director of R&D and Innovation at Vega Systems, London, UK. He has an extensive track record in systems assurance and safety, security, sustainability, knowledge assessment/management methodologies. He has a background in the design and development of advanced control systems for business and safety-critical industrial applications.
Hessami represents the UK on the European Committee for Electrotechnical Standardization (CENELEC) & International Electrotechnical Commission (IEC) – safety systems, hardware & software standards committees. He was appointed by CENELEC as convener of several Working Groups for review of EN50128 Safety-Critical Software Standard and update and restructuring of the software, hardware, and system safety standards in CENELEC.
Ali is also a member of Cyber Security Standardisation SGA16, SG24, and WG26 Groups and started and chairs the IEEE Special Interest Group in Humanitarian Technologies and the Systems Council Chapters in the UK and Ireland Section. In 2017 Ali joined the IEEE Standards Association (SA), initially as a committee member for the new landmark IEEE 7000 standard focused on “Addressing Ethical Concerns in System Design.” He was subsequently appointed as the Technical Editor and later the Chair of P7000 working group. In November 2018, he was appointed as the VC and Process Architect of the IEEE’s global Ethics Certification Programme for Autonomous & Intelligent Systems (ECPAIS).
Trish advises and trains organisations internationally on Responsible AI (AI/data ethics, policy, governance), and Corporate Digital Responsibility.
Patricia has 20 years’ experience as a lawyer in data, technology and regulatory/government affairs and is a registered Solicitor in England and Wales, and the Republic of Ireland. She has authored and edited several works on law and regulation, policy, ethics, and AI.
She is an expert advisor on the Ethics Committee to the UK’s Digital Catapult Machine Intelligence Garage working with AI startups, is a Maestro (a title only given to 3 people in the world) and expert advisor “Maestro” on the IEEE’s CertifAIEd (previously known as ECPAIS) ethical certification panel, sits on IEEE’s P7003 (algorithmic bias)/P2247.4 (adaptive instructional systems)/P7010.1 (AI and ESG/UN SDGS) standards programmes, is a ForHumanity Fellow working on Independent Audit of AI Systems, is Chair of the Society for Computers and Law, and is a non-exec director on the Board of iTechlaw and on the Board of Women Leading in AI. Until 2021, Patricia was on the RSA’s online harms advisory panel, whose work contributed to the UK’s Online Safety Bill.
Trish is also a linguist and speaks fluently English, French, and German.
In 2021, Patricia was listed on the 100 Brilliant Women in AI Ethics™ and named on Computer Weekly’s longlist as one of the Most Influential Women in UK Technology in 2021.
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