Hernández‐Leo D, Martinez‐Maldonado R, Pardo A, Muñoz‐Cristóbal JA, Rodríguez‐Triana MJ. Analytics for learning design: A layered framework and tools. British Journal of Educational Technology
We have relevant datasets, repositories, frameworks and tools of relevance for research and technology transfer initiatives related to knowledge extraction. This section provides an overview on a selection of them and links to download or contact details.
The MdM Strategic Research Program has its own community in Zenodo for material available in this repository
as well as at the UPF e-repository 
. Below a non-exhaustive list of datasets representative of the research in the Department.
As part of the promotion of the availability of resources, the creation of specific communities in Zenodo has also been promoted, at level of research communities (for instance, MIR and Educational Data Analytics) or MSc programs (for instance, the Master in Sound and Music Computing)
Hernández‐Leo D, Martinez‐Maldonado R, Pardo A, Muñoz‐Cristóbal JA, Rodríguez‐Triana MJ. Analytics for learning design: A layered framework and tools. British Journal of Educational Technology
Hernández‐Leo D, Martinez‐Maldonado R, Pardo A, Muñoz‐Cristóbal JA, Rodríguez‐Triana MJ. Analytics for learning design: A layered framework and tools. British Journal of Educational Technology
The field of learning design studies how to support teachers in devising suitable activities for their students to learn. The field of learning analytics explores how data about students' interactions can be used to increase the understanding of learning experiences. Despite its clear synergy, there is only limited and fragmented work exploring the active role that data analytics can play in supporting design for learning. This paper builds on previous research to propose a framework (analytics layers for learning design) that articulates three layers of data analytics—learning analytics, design analytics and community analytics—to support informed decision‐making in learning design. Additionally, a set of tools and experiences are described to illustrate how the different data analytics perspectives proposed by the framework can support learning design processes.