Module 5: Data Quality Assurance & Control

Learning Objectives

Students will be able to:

• distinguish between quality assurance and quality control

• articulate the reasons for de-identifying data

Video Link:

https://boisestate.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=1ff3b6ba-8cb8-46f8-8854-aef300ea8f50

Video Embed Code:

<iframe src="https://boisestate.hosted.panopto.com/Panopto/Pages/Embed.aspx?id=1ff3b6ba-8cb8-46f8-8854-aef300ea8f50&autoplay=false&offerviewer=true&showtitle=true&showbrand=true&captions=false&interactivity=all" height="405" width="720" style="border: 1px solid #464646;" allowfullscreen allow="autoplay"></iframe>

Videos will have optional English captions and there is a transcript file available below if needed.

Additional Resources: (Please include these alongside the linked or embedded video.)

"Manage Quality" - USGS Data Management: https://www.usgs.gov/data-management/manage-quality

Guidance Regarding Methods for De-identification of Private Health Information in Accordance with the Health Insurance Portability and Accountability Act (HIPAA) Privacy Rule (HHS): http://www.hhs.gov/hipaa/for-professionals/privacy/special-topics/de-identification/index.html

Appropiately De-identify Participant Data (Johns Hopkins): https://browse.welch.jhmi.edu/nih-data-management/protections-for-human-subjects [Scroll down to the bottom of the page]

Assessments (Optional)

5-point automatically graded Canvas quiz: Download the Module5Quiz_ScormVersion_2016Summer.txt file attached below. Follow the instructions provided on the Curriculum Overview page if you need help uploading the quiz into Canvas. Contact Megan Davis (megandavis3@boisestate.edu) for in-person assistance or if you need help with another course management system. Use the Module5Quiz_2016Summer.docx file if you'd like to create a printed version of the quiz for your students instead.

OR

QA/QC Procedures Description (5 points): Have students write a paragraph about a current or recent lab/research project. They should describe the project and associated data types in a few sentences, then describe three or more QA/QC procedures that they did or could/should have used to assure the quality of their data based on the best practices listed on the USGS "Manage Quality" page linked in the Additional Resources section (https://www.usgs.gov/data-management/manage-quality). [Optional rubric can be found below: QA_QCProceduresAssignmentRubric.pdf]