What question did this study set out to answer?

To explore the principles of data annotation and its impact on data quality.

March 21, 2026Open Access

Digital Behaviour Data: Collecting Annotations – Introduction and "In-House" Solutions II Slide deck

Key Points

To explore the principles of data annotation and its impact on data quality.
Introduced fundamentals of text data annotation
Outlined the design of a data annotation pipeline
Analyzed the relationship between annotation process design and data quality
Highlighted best practices for data annotation
Identified key factors influencing data quality
Provided insights on workflow improvements for annotation processes

Abstract

This presentation covers the fundamentals of (text) data annotation, how to design and structure a data annotation pipeline for a project, and how to analyze the impact of annotation process design on data quality. This presentation is the eighth part of a set of presentations on the topic of "Tools and Workflows (Digital Behaviour Data)". Presentation available after free registration: https://elearning.gesis.org/course/section.php?id=1266

Digital Behaviour Data: Collecting Annotations – Introduction and "In-House" Solutions II Slide deck

Key Points

Abstract

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