This document discusses the challenges of handling social science data and potential responses. It describes the types of social science data, including large surveys, longitudinal studies, administrative data, and qualitative data. Three main challenges are identified: researchers lack skills for complex analysis, data processing lacks coordination, and incentives are needed for documentation. Potential responses include training programs, collaborative online services, and tools to facilitate data organization, standardization, linking, and modeling.