This document discusses the creation of a linked data dataset for Madrid's public transport authority (CRTM) to make their transport data more accessible and reusable. It outlines the motivation and benefits of open transport data, reviews existing methods of publishing open data, and proposes publishing CRTM's data as linked open data using semantic web standards to enable new applications and value-added services by combining the transport data with other public datasets. The methodology describes transforming CRTM's static and real-time transport datasets into RDF and providing SPARQL and SPARQL-Stream endpoints to access the data. Examples demonstrate sample URIs, queries to retrieve stop points, and visualizations of the linked data.