Please anonymise your data before sharing ! At the @lmu-osc.bsky.social we promote responsible data sharing through data anonymisation, or the creation of synthetic data to share instead of sensitive data. Our self-paced tutorials: lmu-osc.github.io/data-anonymi... lmu-osc.github.io/synthetic-da...
Welcome to the Data Anonymization Course! – Data Anonymization Course
lmu-osc.github.io
1/ What is the prevalence of personally identifiable information (PII) in author-collected data publicly shared in the social sciences? We audited 327 replication packages from 11 leading journals in economics, political science, and psychology Answer: surprisingly high 🧵