Welcome to Love Data Week! If you haven’t participated before, Love Data Week is the international celebration of all things data. This year’s events and discussions are focused on the people side of data. What does data look like in different disciplines? How are biases manifested in data? Who has a say in how data is used and who benefits?
Below we’ve highlighted some online events we’re excited about. You can browse the complete list. It’s also a great time to introduce the OHSU Library’s new guide on working with data. It contains guidance and information about tools and resources to help OHSU faculty, students and staff manage data effectively.
Featured #LoveData22 events:
Just what we needed(!?): Lessons from working together with a user-driven, open-source, geospatial tool to archive and share data across contexts
February 16, 2022, 1:15 – 2:00 PST
Registration Required
“Data governance and sharing become especially challenging when issues traverse sectors and disciplines. This presentation will share lessons and insights from the development and use of a geospatial portal tool that has been developed by First Nations and other groups to address complex environment, community and health concerns.”
Pattern Matching and Data Cleaning Using Regular Expressions
February 17, 2022, 7:00 – 8:00 PST
Registration Required
“Okay, you know how to do search and replace in Word. But what if you need to look for word variants? Or numbers of unknown length and format? What if you need to do a search-and-replace to clean up some data that involves something a more complicated than just replace X with Y? Regular expressions are a concise way of doing this kind of complex pattern matching, and they are wonderfully useful for cleaning data (numeric and textual), text mining, and such. A super-useful tool to keep in your (digital) back pocket!”
Discriminating Data: A Conversation with Wendy Chun
February 18, 2022, 9:00 – 10:00 PST
Wendy Hui Kyong Chun, author of Discriminating Data, will discuss the role and goal of polarization within big data and machine learning.
Note: Discriminating Data is on order and will be available through the OHSU Library soon.
Happy #LoveData22! We’ll be sharing more information and resources in the next few days. This week and always, please contact the OHSU Library if you have questions about working with data.
