Presentation Type

Presentation

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

Conference Track

User Experience/Understanding Users

Comments/Notes

Room: ML 170

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

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Mar 31st, 11:15 AM Mar 31st, 12:00 PM

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.