Open Data

The open data concept is a philosophy and practice that seeks certain types of data freely available to everyone, without restrictions of copyright, patent or other control mechanisms. It is similar to other movements and open communities, such as free software, open source and free access.

OGoov features – Open Data

Easy to use

We use a friendly data catalog manager (CKAN) which is proven in multiple deployments such as national open data portals or small local sites. We enrich this information with a presentation layer developed in best known CMS (System Management Content) in the market, WordPress. It provides a simple interaction with the user and an important community support. As a result, our platform may be used by personnel with basic knowledge of office with great comfort.

Rapid deployment

In its simplest version we can deploy the platform fully in a week, we have implemented the system in a County Council in less than a month since the first technical contact was had until the public presentation was made. Its fullest version, including real-time open data collection and presentation (RTOD), can be deployed in two weeks and presented to the public comfortably in three months.

Visually attractive

It is true that an orthodox current in the world of Open Data insists on exposing them in the raw and that it is the reusers who treat and transform them, why not respect this but allowing the citizen to do basic but powerful operations on them such as sorting them, filtering them by various criteria or grouping them at convenience and from there produce eye-catching graphics that allow them to analyze and better understand what they mean? Or allow the entity that exposes them to select from their exposed data the best graphics that enhance them and invite them to reuse? This is what clearly adds our solution to a portal based solely on CKAN, the use of a powerful library of table processing and visualizations plus WordPress facilities to present an attractive and flexible site.


In other words, for the cheapest and fastest installations, all services in the cloud. One of the main misgivings of the administration to place their systems in the cloud revolves around privacy, but here we talk about open data, so that small barrier does not exist. The entire platform can be deployed in the cloud, without the need to invest and prepare environments, manage them, guarantee their security and backup, etc. The administration only has to devote itself to its basic function, making the data for which they have already paid available to citizens and their business environment. Of course, for more complex installations, especially those in which data is recovered in real time from institutional back-ends, an installation in your own data center is perfectly possible.

Scalable to more complex solutions

We start from a first level where administrations deploy an Open Data Portal from files uploaded to CKAN or accessible through a URL, in a few days and with a tight budget, but from there it can easily evolve to a more complex environment where a middleware of data collection in real time (RTOD) is added that solves the problem of keeping the data sets updated automatically and a semantic server (Apache Marmotta) that allows providing it with storage capacity and management of semantic data and the publication of a SPARQL point. It is also very easy to scale the solution towards an Open Government Portal by adding Transparency and Citizen Participation sections.


Practically all institutional levels have or will have in the near future open data portals that can be enriched by federating data from lower level portals. Our platform is currently prepared to generate the necessary file so that the Open Data catalogue can be federated by any regional, national or supranational portal. In particular we generate an RDF/XML based on DCAT-NTI to federate with the Spanish open data portal ( and through the same federate in the European open data portal (, in the same way we generate a DCAT-AP that follows the European interoperability standard.

Low learning curve

Both the data opening project management team and the editors of each of the bodies and units that will feed the data catalogue can be trained in one day from a face-to-face or distance training. For more complex environments with real-time open data, training can be extended to three days to add semantic data enrichment capabilities and parameterization of dynamic data collections.

Reduced selling price

All development has been conditioned by the goal of being able to offer this solution at very low prices, both in its initial levels that supply the needs of small local administrations and other public institutions, such as universities, and in the more complex solutions that target powerful administrations of large urban centers, regional or national governments.