In the last few months we have spent so much time at home, and we have realized the importance of culture. Music, movies, reading or painting have made those hours spent at home much more bearable. 

Cultural institutions have a lot of valuable information. This information includes the collections managed by cultural institutions, i.e. works that have been digitally shared free of charge by museums or libraries. But it also includes the knowledge available about those collections. All this material, if shared in open format, can be reused to develop, for example, educational and learning content, documentaries or animations.

What types of cultural data can I find in datos.gob.es?

At datos.gob.es we have an extensive catalogue of cultural data. There are currently 2,300 datasets that have been grouped under a category called "culture and leisure". Among these datasets we find state, regional and local information. The publishers that share the most data of this type are the Autonomous Community of the Basque Country, the Centre for Sociological Research, the National Institute of Statistics and the National Library of Spain.

Of these datasets, some of the most popular are:

You can access these datasets through the following links:

• Spanish authors in the public domain
• Archive of the Spanish website: thematic collection: feminism
• Cultural Parks of Aragon
• Agenda of the museums in the province of Barcelona
• Free activities in Madrid's Municipal Libraries

As we can see, most of these datasets are related to the literary field, one of the most prolific and advanced when it comes to opening its data. However, in the catalogue we can also find data related to the pictorial, cinematographic or musical field.

One advantage of cultural datasets is their cross-sectional nature. For example, datasets such as the thematic collection on feminism or those on immigration provide us with information on our society, something important for understanding how we were and are.

From datos.gob.es we invite you to visit our data catalogue and dive into all the datasets.