Data Management and Cleaning for Research

Descripción

This course provides practical guidance on managing, cleaning, and validating research data to support high-quality, reliable research. Learners will explore key data management principles, including organizing and storing research data, sharing data responsibly, and applying FAIR data practices. The course also introduces techniques for identifying and cleaning messy datasets, using a range of approaches and tools to improve data quality. In addition, learners will develop strategies for avoiding common research mistakes during data collection, analysis, and reporting, helping to ensure findings are accurate, robust, and trustworthy. Suitable for students, researchers, and professionals, this course builds essential skills for working confidently with research data.