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Author: Kunjan Shah

Kunjan Shah is a Research Assistant at GESIS - Leibniz-Institute for the Social Sciences. He is working on the KODAQS project since July 2024. In this role, he focuses on the quality of digital behavioral data. Kunjan is pursuing a master’s degree at Paderborn University. His expertise includes data analysis and wrangling, web scraping, and Natural Language Processing.

Tools – Indicators – Metrics: Data Quality in Computational Social Science

In the course of datafication, social scientists are confronted with the increasing availability of digital behavioral data (DBD). Social media platforms, mobile apps, and sensors offer rich insights into human behavior, but these new data sources come with significant challenges in terms of quality. To address these issues, the two-day …

26/03/2025 Dr. Yannik Peters

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Comparability (10) Corona (5) COVID-19 (19) Curated Data (7) Data Collection (10) Data Quality (7) Data Spotlight (9) Digital Behavioral Data (7) Election (5) EVS (7) Ex-Post Harmonization Adventures (9) Facebook (6) FAIR Data Principles (15) Germany (11) GLES (7) ISSP (6) Migration (8) Open Data (16) Research Data Management (6) Science Communication (7) Social Media (16) Survey Data (7) Survey Methodology (15) Twitter (6) Ukraine (5)

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