Hernández-Leo D, Rodriguez Triana MJ, Inventado PS, Mor Y. Connecting Learning Design and Learning Analytics. Interaction Design and Architecture(s) Journal
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, Rodriguez Triana MJ, Inventado PS, Mor Y. Connecting Learning Design and Learning Analytics. Interaction Design and Architecture(s) Journal
Hernández-Leo D, Rodriguez Triana MJ, Inventado PS, Mor Y. Connecting Learning Design and Learning Analytics. Interaction Design and Architecture(s) Journal
Learning Design (LD) and Learning Analytics (LA) are both domains of research and action that aim to improve learning effectiveness. The fact of sharing a common aim raises the potential of the synergies that may emerge between them. Indeed, there has been a growing interest and some initial effort in bringing them together. For example, learning design offers a representation of the learning activity, providing a contextualization framework for LA. Learning Analytics, in turn, supports the study of designs by gathering evidence during the learning process, and may inform future design decisions based on previous data. Despite their common goal, the collaboration between LD and LA is limited. Making these links operational and coherent is still an open challenge. This special issue brings together eight papers proposing approaches and discussing concerns that illustrate the benefits and challenges of the alignment between learning design and analytics.