One of the key challenges of biomedical research and public health research is dealing with and managing the explosion of data from multiple sources. This course is designed to help researchers and investigators to understand the key ethical principles of data management from a privacy, security, usability and discoverability perspective. The course provides a historical perspective with an emphasis on current data ethics challenges in the age of date sharing and informatics.
Best Practices for Ethical Data Handling
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Beginner level
Recommended experience
10 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
Details to know
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Recently updated!
November 2024
Assessments
10 assignments
Taught in English
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There are 3 modules in this course
In this module, we will introduce the course and the topics covered, as well as provide foundational background infromation about data privacy, including how to identify when data needs to be protected, the risks associated with data that requires protection, tips to maintain compliance with data protection policies, and strategies to protect sensitive data.
What's included
2 videos3 readings2 assignments1 discussion prompt
In this modual, we will start to describe more of the methods one can use to protect data, including de-identification, considerations for access and cached data, encryption, and safe email practices. We will also introduce topics related to data sharing, including why data sharing is helpful to the research community and the people we serve, data repositories for sharing data, and special considerations and tips for sharing data of different types.
What's included
2 videos2 readings4 assignments2 discussion prompts
In this module we will provide a summary of the history biomedical ethics and how this impacts current modern considerations for research.
What's included
3 videos3 readings4 assignments2 discussion prompts
Offered by
Recommended if you're interested in Data Management
University of Michigan
University of Colorado Boulder
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