What question did this study set out to answer?

The aim is to showcase practical examples of data matching, especially in the context of COVID-19 vaccinations.

March 21, 2026Open Access

Linked Data: Preprocessing & Indexing Slide deck

Key Points

The aim is to showcase practical examples of data matching, especially in the context of COVID-19 vaccinations.
Presented case study on vaccination data effectiveness
Discussed technical and privacy considerations
Analyzed changes in traditional data matching with large unstructured data
Examined applications of language models in data matching
Illustrated challenges in matching diverse data sources
Highlighted the importance of data matching in public health initiatives
Showcased new techniques improving data processing efficiency

Abstract

This presentation presents examples of data matching in practice. As a first example, it presents a case study on the effectiveness of COVID-19 vaccinations. It covers technical and privacy considerations for matching spatial data with surveys, challenges and potential applications. It also discusses how traditional data matching is changing with larger volumes of (unstructured) data (Big Data Perspective), and Language Models for data matching. This presentation is the fourth part of a set of presentations on the topic of "Tools and Workflows (Linked Data)". Presentation available after free registration: https://elearning.gesis.org/course/section.php?id=1274

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Cite This Study

Fiona Draxler (Wed,) studied this question.

synapsesocial.com/papers/69be3be16e48c4981c679be6 https://doi.org/https://doi.org/10.5281/zenodo.19050709

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