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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您将获得的技能
- Data Ethics
- Institutional Review Board (IRB)
- Data Security
- Health Insurance Portability And Accountability Act (HIPAA) Compliance
- Information Privacy
- Informed Consent
- Clinical Research Ethics
- Data Sharing
- Data Governance
- Clinical Research
- Data Management
- Healthcare Ethics
- Medical Privacy
- Personally Identifiable Information
- Health Information Management
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10 项作业
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该课程共有3个模块
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.
涵盖的内容
2个视频3篇阅读材料2个作业1个讨论话题
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.
涵盖的内容
2个视频2篇阅读材料4个作业2个讨论话题
In this module we will provide a summary of the history biomedical ethics and how this impacts current modern considerations for research.
涵盖的内容
3个视频3篇阅读材料4个作业2个讨论话题
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