About Course
Welcome to this course on Introduction to Data Ethics, Governance and Protection.
in this course you will be able to study what data ethics is, how and why to protect data, existing guidelines for data sharing, general data protection regulation (GDPR), technical skills, and governance principles specific to the management of data. Participants will gain insights into the responsible handling, acquisition, and use of sensitive information within legal and ethical frameworks.
Course duration: 3 hrs lecture & 4 weeks of self-paced study
in this course you will be able to study what data ethics is, how and why to protect data, existing guidelines for data sharing, general data protection regulation (GDPR), technical skills, and governance principles specific to the management of data. Participants will gain insights into the responsible handling, acquisition, and use of sensitive information within legal and ethical frameworks.
Course duration: 3 hrs lecture & 4 weeks of self-paced study
Course contents
- Introduction to data ethics
- Introduction to data governance
- Data protection
- Protocol for Data access, sharing and use and Governance
Course objective(s)
By the end of this course, participants will able to learn the following course objectives
· Understanding ethical considerations in handling data, especially sensitive information related to mental health.
· Understand how to implement data protection measures to ensure the confidentiality and security of data.
· Be able to examine legal and regulatory frameworks relevant to data governance
· Participants will be able to understand considerations for obtaining informed consent and ensuring participant privacy in data acquisition
· Participants will be able to develop protocols for identifying and verifying mental health data and establishing criteria for selecting appropriate mental health data sources
· Understanding ethical considerations in handling data, especially sensitive information related to mental health.
· Understand how to implement data protection measures to ensure the confidentiality and security of data.
· Be able to examine legal and regulatory frameworks relevant to data governance
· Participants will be able to understand considerations for obtaining informed consent and ensuring participant privacy in data acquisition
· Participants will be able to develop protocols for identifying and verifying mental health data and establishing criteria for selecting appropriate mental health data sources
Course Instructor(s)
Sarah Lilian (PhD) & Daniel Mtai Mwanga (PhD fellow)
Course contents
- Introduction to data ethics
- Introduction to data governance
- Data protection
- Protocol for Data access, sharing and use and Governance
Course objective(s)
By the end of this course, participants will able to learn the following course objectives
· Understanding ethical considerations in handling data, especially sensitive information related to mental health.
· Understand how to implement data protection measures to ensure the confidentiality and security of data.
· Be able to examine legal and regulatory frameworks relevant to data governance
· Participants will be able to understand considerations for obtaining informed consent and ensuring participant privacy in data acquisition
· Participants will be able to develop protocols for identifying and verifying mental health data and establishing criteria for selecting appropriate mental health data sources
· Understanding ethical considerations in handling data, especially sensitive information related to mental health.
· Understand how to implement data protection measures to ensure the confidentiality and security of data.
· Be able to examine legal and regulatory frameworks relevant to data governance
· Participants will be able to understand considerations for obtaining informed consent and ensuring participant privacy in data acquisition
· Participants will be able to develop protocols for identifying and verifying mental health data and establishing criteria for selecting appropriate mental health data sources
Course Instructor(s)
Sarah Lilian (PhD) & Daniel Mtai Mwanga (PhD fellow)