This document discusses the dataTEL theme team, which aims to improve technology-enhanced learning (TEL) recommender systems through dataset-driven research. The dataTEL team addresses challenges related to connecting learners and contextualization. Its objectives are to develop policies and methods for sharing, preprocessing, evaluating, and monitoring the performance of TEL recommender systems using different datasets. The goal is to standardize research on TEL recommender systems.