Topic: Ethics, Data Quality and Reproducible Work

Preserving Raw Data Before Cleaning

Organizing Files and Versions for Reproducibility

Manual Spreadsheet Steps Versus Recorded Workflows

Making Cleaning Decisions Auditable

Informed Consent for Statistical Data Collection

Importing Data Without Changing Its Meaning

Finding Duplicate Records

Ethical Responsibilities Across the Data Lifecycle

Documenting Data-Cleaning Decisions

De-Identification and Re-Identification Risk