CHEST (Cultural Heritage Educational Semantic Tool) is an application to support the creation and reuse of educational experiences related to cultural heritage around the world. The aim is to enable teachers to use the information to carry out activities with their students, in the classroom or in various locations of interest.

The application uses Linked Open Data (LOD) to automatically generate places of interest and educational tasks. It also stores teachers' annotations in the same format. This data is accessible to the whole community.

This realisation use case has been developed as part of the doctoral thesis of the GSIC/EMIC research group formed by engineers and educators from the School of Telecommunications Engineering, the School of Computer Engineering and the Faculty of Education and Social Work of the University of Valladolid. In addition, this app won first prize in the ‘Educational resource’ category of the 7th edition of the open data competition of the Junta de Castilla y León.

This is a Telegram bot that provides information about the nearest water source to the user's location. This application generated from the reuse of information from the catalog of the open data portal of the Madrid City Council shares the address of the nearest source. If the user prefers, he/she can also provide a map of the location where the fountain is located or even search for the next closest one.  

In this video you can see the practical application of the bot 

Designed with data from the Community of Madrid, this initiative has made it possible to monitor the recovery process after COVID-19 in sectors such as transport, tourism and public safety.

The tool has been developed with the aim of understanding not only the impact, but also the degree of recovery that some services and activities have experienced after the pandemic in Madrid.

Thus, through open data portals, the application offers interactive visualizations with the following variables:

• Municipal police
  
  •  Citizen safety information
  • Alcohol consumption on public roads
  • Inspections and actions in premises
• Tourism
  
  • Number of nights and average price at Airbnb
• Mobility and transportation
  
  • Occupancy rate of parking lots in the city of Madrid
  • Metro ridership
  • BiciMAD movements
  • Google mobility transportation stations
• COVID-19
  
  • Cumulative incidence rate

In each panel, conclusions can be known based on data on the state of recovery of each parameter, a situation that varies depending on the sector. While on-street drinking and AirbnB tourism see higher activity, metro ridership is still lower than pre-pandemic data. 

Open data sources are: 

• Community of Madrid open data catalog for the cumulative rate of contagion in the community of Madrid: https://datos.comunidad.madrid/catalogo/dataset
• EMT Madrid open dataset for BICIMAD data: https://opendata.emtmadrid.es/Datos-estaticos/
• Madrid metro website data for Madrid metro ridership data: https://www.metromadrid.es/es/transparencia/proyectos-y-datos#panel1
• Google mobility local mobility reports for citizen mobility data: https://www.google.com/covid19/mobility/

Música y Sonidos del Mar es una aplicación móvil que registra música y sonidos del agua y la naturaleza para que el usuario escuche dichos sonidos y le ayuden a  relajarse, meditar o dormir.  Ofrece una combinación de sonidos del mar, de truenos y lluvia, gaviotas, aves, etcétera.

La aplicación ofrece una interfaz de fácil uso, disponible de modo gratuito para Android bajo licencia Creative Commons Public Domain.