Validation of extracted data - introduction

In Laser AI, you can validate your extracted data  through an optional 4-step process.

• At the researcher level, once you finish your data extraction and click the 'Finalize' button, the tool will verify the extracted data for any missing elements, such as empty fields, missing connections, or uncoded values.

• At the researcher level, you can set up  the quality assurance stage, allowing a second researcher to validate the extracted data. This process is similar to the initial data extraction.

• The data cleaning module is dedicated to validating vocabulary fields (manager level)

• At the manager level, you can review and modify extracted data in the reference list

RELATED ARTICLES

1. Completeness check  
2. Quality assurance stage  
3. Modification of extracted data on Reference list  
4. Cleaning extracted data