This entry examines the need for basic corpus literacy among language teachers and learners to expand the benefits of data-driven learning (DDL) to a wider audience beyond corpus linguists and researchers. It explores the nature and typical contexts of DDL, defines corpus literacy, and reviews existing measures of corpus literacy. The entry synthesizes previous research on DDL in language education and examines the limitations in the emphasis on advanced corpus knowledge and skills for corpus educators at the university settings, neglecting basic corpus literacy needed for language teachers and learners without corpus expertise. The entry highlights the need to prioritize basic corpus literacy for language teachers and learners. In addition, it offers practical recommendations for effective corpus literacy training, including prioritizing essential corpus skills, scaffolding corpus website introduction, designing user-friendly corpus tools, emphasizing hands-on corpus analysis practice, and addressing corpus limitations to foster users’ metacognitive awareness. By advocating a basic and attainable corpus literacy for the vast number of language teachers and learners, this entry aims to democratize access to DDL resources, empowering language educators to make informed pedagogical decisions and enhance learners’ language learning experiences.