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Professional Development

Data Services Specialization Level II Course List



  • Courses approved for the DSS Level II are listed below, with the credit amount and the DSS skill area each addresses.



Use the DSS Level II Tracking Grid to ensure that you take courses in the required skill areas. 

Cr
CORE REQUIRED
Register for Course in MEDLIB-ED 
But Where is My Data?? Teaching a Two-Stage Data Search Process 1.5
Clean & Tidy Data: Making Data Usable
CURATED Data for Long-term Preservation and Public Sharing 1.5
Digging Deep into Data: Critically Appraising Data and Data Collection Methods 1.5
Uninformed Participants and Informed Choices: Social Media Data in Health Sciences Research 1.5
Working with Research Partners to Coordinate Domain-Specific Data Services 1.5
Choose 1 of the following 2 courses
Answering the Hard Questions: Prepare to Succeed in Developing Data Services (if not chosen as a core 1.5
Getting by With a Little Help from Your (Institutional Research) Friends: Building Relationships to Advance Data Support 1.5
ELECTIVES (choose 7.5 credits in any skill areas)
S1 S2 S3 S4 S5 Cr
On-Demand: 
Answering the Hard Questions: Prepare to Succeed in Developing Data Services (if not chosen as a core required course) x 1.5
Clean & Tidy Data: Getting Started with Spreadsheet Data x x 1.5
Getting by With a Little Help from Your (Institutional Research) Friends: Building Relationships to Advance Data Support (if not chosen as a core required course) x 1.5
Grow Your Library's Data Services: A Novice’s Guide to Data Competitions x x 1.5
Keeping It Private: Supporting Research Privacy and De-Identification of Shared Data x x x 1.5
Preparing Your Workshops on the New NIH Data Management and Sharing Plans (DMSPs) x x 1.5
Sharing it Ethically: Research Lifecycle Support for Sharing Human Participants Data x 1.5
Uninformed Participants and Informed Choices: Social Media Data in Health Sciences Research x x 1.5
Using Common Data Elements to Enhance Research Data x x x 1.5
Face-to-Face, Instructor-Led, & Webinars (previously offered and may be scheduled; if the link is bad, the course is no longer available but does count as an elective): 
Ethical Considerations of Data (4-Part Series) x 8
Fundamentals of Health Data Science x x x 32
Inclusion and accessibility in the digital age x 6
Master Data Cleaning and Wrangling with OpenRefine and Python x x 4
R Community of Practice Pilot x 4
Treasures of the All of Us Research Data x 2
Wrapping Your Arms Around Python: Python Basics and Data Visualization x 4
REGISTER ON COURSE WEBSITE
Carpentries Instructor Training x ?
Data Management for Clinical Research x x x 17
Healthcare Data Models x x 13
Healthcare Data Quality and Governance x 12

1.51.51/5