In micromobility studies, data plays an important role, enabling the assessment of many aspects of mobility. Various data types are used to explore areas such as safety, policy evaluation, urban planning, and environmental sustainability. This chapter reviews the primary data types, sources, and collection methods in micromobility studies, including sensor data, surveys, field observations, built environment data, and archival data sources. Sensor data, such as mobile phone GPS and vehicle sensors, provide detailed insights into mobility patterns and environmental conditions but lack socio-demographic information. Surveys and observations are the primary data sources for user behavior and use of infrastructure. Built environment data examines factors like density, diversity, and design influencing micromobility. Archival data, including media reports and public records, are crucial for policy analysis and safety evaluations. The chapter also includes common practices in data preprocessing to enhance data accuracy, supporting researchers in advancing micromobility studies.