The document discusses sharing data sets to personalize learning. It describes the dataTEL theme team, which aims to standardize research on recommender systems in technology-enhanced learning (TEL). The team seeks to address questions around sharing data sets while protecting privacy, developing policies for data sharing, pre-processing data for other researchers, defining evaluation criteria for TEL recommender systems, and monitoring system performance on data sets. The presentation covers topics like open innovation, mashups, recommender systems, and protection rights as they relate to sharing educational data.