Do you deal with library data or metadata? Perhaps in your library catalog records, digital repository metadata, or even spreadsheets? As the amount of data we deal with grows, so do the errors and inconsistencies in that data, resulting in the manual correction of these issues becoming even more time consuming. To help you with your data clean-up needs, this course will review OpenRefine, the software which allows users to quickly view, identify inconsistencies in, and enhance a variety of data. This course is part of a three-part series entitled Metadata Management Tools: Micro-Credentialing.
* This course is eligible for micro-credentialing (optional) - What is micro-credentialing?
- Complete the following courses:
- Metadata Management Tools: Introduction to MarcEdit
- Metadata Management Tools: Introduction to OpenRefine
- Metadata Management Tools: Programming with Python and PyMARC
- Complete extra requirements for micro-credentialing participants:
- Extra homework per course
- Extra capstone project (extra $70 fee) - information on the capstone project here
Learning objectives for this session may include:
- Analyze purpose and uses of metadata
- Outline components and needs of a successful metadata standard
- XML
- Identify three types of markup
- List rules for well-formed XML
Topic Area
Contact
learning@amigos.org
Session Duration
This course consists of one 2-hour session.
Contact Hours
2
Instructor
Emily Nimsakont is the Digital Librarian at Posit PBC, a data science software company. She previously worked as the Cataloging and Metadata Trainer for Amigos Library Services. She holds a master’s degree in library science from the University of Missouri-Columbia.