Digital Scholarship Method Series: Introduction to Data Cleaning
A solid foundation is important for any project. Join Natalia Lopez, digital scholarship librarian, for this series of three hands-on workshops to learn more about how your data—when properly collected, cleaned and visualized—can set you on the path for success.
During this workshop, the second in the series, you will deepen your understanding of the importance of “clean” data to research, and implement common solutions to “messy” data using Excel.
The workshop is part of a series focused on data collection. The sessions will take place on three consecutive Thursdays—March 8, March 15 and March 22, 2018—from 1-3 p.m. You will need to register for each workshop individually.
While workshops are free of charge, registration is required as seating is limited. This workshop is open to UD students, faculty and staff.
If you have questions regarding workshops, please call 302-831-2432 or email email@example.com.
Note: All Morris Library visitors need photo identification to enter. Visitors with UD ONEcards can use those at the turnstiles for easy access to the Library. If you do not have a UD ONEcard, you will need a state-issued ID (a driver’s license, a government-issued or school-issued photo ID, etc.) to enter.
You may be interested in these additional data workshops:
Digital Scholarship Method Series: Introduction to Data Collection
Researching and Exporting Data with PolicyMap on Wednesday, February 28, 2018, 9 a.m. to noon
Getting Started with ArcGIS Online on Wednesday, March 7, 2018, 9 a.m. to noon
Creating and Sharing Your Data with ArcGIS Online Story Maps on Wednesday, March 14, 2018, 9 a.m. to noon
Getting Started with ArcGIS for Desktop I on Wednesday, April 4, 2018, 9 a.m. to noon
Getting Started with ArcGIS for Desktop II on Wednesday, April 11, 2018, 9 a.m. to noon
Data Management for Medical Researchers on Thursday, April 19, 2018, 10 a.m. to noon
- Thursday, March 15, 2018
- 1:00pm - 3:00pm
- Student Multimedia Design Center Room A
- Presented by:
- Natalia Lopez
- Data sharing and management