Description: In this module you will get to finish the process of data liberation after an individual or automatic extraction of data from scholarly publications according to Plazi's workflow. This is an important and mandatory step of data liberation. The quality control process detect and correct the extraction errors preventing wrong information to reach the repositories
Prerequisites: module “Individual Extraction” (hyperlinks to the modules) certification.
Learning objective:
- Enhancing annotation Quality control of data extracted from publications.
Join module with Google Classroom (https://classroom.google.com/), using the class code vj6tqd5.