Researchers are increasingly required by funders and publishers to share their data. Health sciences researchers whose work involves human participants must negotiate a particularly complicated process to ensure that their data is shared ethically. Health sciences librarians are uniquely positioned to guide these researchers through the data sharing process.
Jennifer Darragh, a Senior Research Data Management Consultant in the Center for Data and Visualization Sciences at the Duke University Libraries, knows intimately the challenges researchers face in sharing human subjects data. Using case studies, critical thinking exercises, and lecture, she will guide you in advising researchers on how to:
- Address ethical aspects of data collection, preparation, storage, and dissemination of human participants research.
- Write consent forms that address data sharing beyond the initial purposes of a project
- Determine if they have a secure environment to process and analyze human subjects data
- Evaluate data repositories for “best fit” based on the type of human participants data and required security levels.
She will also speak to data colonialism and ways to put participants first when determining the benefits of data sharing. You’ll receive a list of resources that will help you deepen and extend your understanding of how to share human subjects data.
This course is an approved elective for the Level II Data Services Specialization.
Learning Outcomes
By the end of this webinar, you will be able to:
- Guide researchers on developing consent forms
- Identify and suggest improvement to consent form language that could prohibit data sharing
- Describe basic computing security requirements for storing sensitive data
- Identify sources of policies and support with sensitive data computing at your institution.
- Advise researchers on best options for data sharing
Audience
Health sciences librarians and other information professionals who support researchers with data management and data sharing.
Presenter
Jennifer Darragh is a Senior Research Data Management Consultant in the Center for Data and Visualization Sciences at the Duke University Libraries. Jennifer has over 20 years of experience supporting data-driven academic research, including data collections acquisition, IRB applications, restricted-data management, data management planning and workflows, and data curation and data repository management. On her own and with colleagues, she regularly teaches a variety of workshops for the Duke Responsible Conduct of Research through the Graduate School and Duke Office of Scientific Integrity.
Registration Information
- Length: 1.5 hour recorded webinar
- Technical information: After you have registered, go to My Learning in MEDLIB-ED to access the live webinar, resources, evaluation, and certificate.
- Register, participate, and earn 1.5 MLA continuing education (CE) contact hours.
Course Includes
- 4 Lessons
- Course Certificate