Title of Presentation
Presentation Type
Presentation
Conference Track
User Experience/Understanding Users
Description
As librarians, we work with an ever-increasing amount of data and metadata. However, these data are often messy, disorganized, and seemingly disparate from other caches of data. Free tools such as OpenRefine allow us to clean, organize, and connect data sets to one another – all without knowing how to write complicated code. In this presentation, I will demonstrate the refining I have undertaken to create better and more usable data sets.
Learning Outcomes
Learn how to install OpenRefine
Learn how to use the tools in OpenRefine to standardize data:
- Facets
- Transformations
- Clusters
- Filters
Learn how to augment your data with data from web services
Learn how to use the Google Refine Expression Language
Start Date
31-3-2017 11:15 AM
End Date
31-3-2017 12:00 PM
Persistent Identifier
http://archives.pdx.edu/ds/psu/19101
Subjects
Big data -- Management, Big data -- Data processing, OpenRefine -- Applications to library science
Using OpenRefine to Standardize and Augment Your Data
As librarians, we work with an ever-increasing amount of data and metadata. However, these data are often messy, disorganized, and seemingly disparate from other caches of data. Free tools such as OpenRefine allow us to clean, organize, and connect data sets to one another – all without knowing how to write complicated code. In this presentation, I will demonstrate the refining I have undertaken to create better and more usable data sets.
Comments/Notes
Room: ML 170