lessons
Plazi: QC Tutorial
The presentation integrates Plazi's learning courses. The lesson is a tutorial to proceed a Quality control of data extracted from publications using the program GoldenGATE Imagine, Plazi’s tool for data extraction from publications, as well as a checklist to avoid and/or correct errors before data liberation to online open repositories.
DOI: 10.5281/zenodo.14728075
Licence: Creative Commons Attribution 4.0 International
Contact: giora@plazi.org
Keywords: Data processing, Data curation, GoldenGATE Imagine, Data extraction, FAIR Data, Workflows, and Research
Target audience: Scientific community
Resource type: lessons
Status: Active
Learning objectives:
Develop an awareness of the functionalities of the computer program used to extract data for scholarly publications: the GoldenGate Imagine - GGI, as well as the step-by-step for data extraction, annotation enhancement, and quality control of data.
Date created: 2025-02-26
Date published: 2025-02-26
Scientific topics: FAIR data, Bioinformatics, Biodiversity, Data curation and archival
Activity log
