It looks like the need for metadata is quite clear, given the benefits from semantic activities such as categorization, indexation, sortation, etc. However, as it occurs with cars and roads where the same tire isn't suitable for any kind of road, the quality of metadata depends on how useful it is for the architecture and the characteristics of the systems that are going to process it. For example, while uncontrolled vocabularies seem to work fine for collaborative tagging, they aren't suitable for formal categorization. Therefore, achieving quality metadata could be a reasonably effort demanding task if it is adjusted to the consumer goals and requirements. Best regards, Leonardo Lezcano

Besides the quality of the content itself, I think that the quality of a learning resource heavily relies on its reusability. In one hand, the use of widely accepted formats and standards must guarantee the compatibility across different systems, OS, LMS, etc. In the other hand, the resource must be developed as context independent as possible. In many cases, learning resources are tightly bound or associated to a particular grading procedure, which makes them less reusable. Also the addressed content must comprise a well defined field of knowledge. I also think that reusability of learning resources could be enhanced by inheriting some interoperability principles from other domains, like for example the one of healthcare systems and EHRs. Best regards, Leonardo Lezcano