Data Carpentry OpenRefine for Ecology

Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working more effectively with data. The lessons below were designed for those interested in working with Ecology data in OpenRefine.

Content Contributors: Deb Paul, Tracy Teal

Lesson Maintainers: Deb Paul, Tracy Teal

Lesson status: Teaching

Lessons:

1. Getting Started with OpenRefine
2. Working with OpenRefine - faceting, clustering & splitting
3. Filtering, Excluding and Sorting
4. Examining Numeric Data
5. Scripts
6. Saving and Exporting Projects and Files

Optional

• Using Services with OpenRefine
• Other Resources

Data

Data files for the lesson are available here: https://www.dropbox.com/s/kbb4k00eanm19lg/Portal_rodents_19772002_scinameUUIDs.csv?dl=0

Requirements

Data Carpentry’s teaching is hands-on, so participants are encouraged to use their own computers to insure the proper setup of tools for an efficient workflow. These lessons assume no prior knowledge of the skills or tools, but working through this lesson requires working copies of the software described below. To most effectively use these materials, please make sure to install everything before working through this lesson.

Twitter: @datacarpentry