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.
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.
In its simplest form we can deploy our platform entirely in one week. We have implemented the system on a Provincial Deputation in less than a month managing from the first technical contact to the public presentation of the portal. Its most complete version, including collection and presentation of open data in real time (RTOD), can be deployed in two weeks and comfortably presented to the public in three months.
It is true that an orthodox praxis of the Open Data world claim that raw data should be expose and re-users have to treat and processed them. Why don’t we respect this but allowing citizens to do basic but powerful operations such as sort, filter or grouped by various criteria to convenience and from there develop colorful graphics that allow you to analyze and understand what they mean? Or allow the organization which exposes their data to select the best graphics that enhance and promote the reuse? This is what our solution clearly added to a site based only on CKAN: a powerful library to process tables and views and the ability of WordPress to present an attractive and flexible site.
In other words, for the most economical and quick installation, all become cloud services. One of the main fears of the administration to place their systems in the cloud revolves around privacy, but here we talk about open data, so that barrier disappears. The entire platform can be deployed in the cloud, without having to invest and prepare environments or ensure their safety and support, etc. The administration simply focuses on its basic function, make available to citizens and business environment data for which they have already paid. Of course, for more complex installations, especially those where real time data is recovered from institutional back-ends , it is perfectly possible an installation in your own data center.
On the first level, the authorities display an open data portal fed by files uploaded to CKAN or accessible via an URL, in a few days and with an economical budget. From there you can easily evolve into a more complex environment where real-time data collection middleware (RTOD) is added that solves the problem of keeping data sets up-to-date automatically and a semantic server (Apache Marmotta) that allows storage capacity and management of semantic data and the publication of an SPARQL endpoint. It is also easy to scale the solution to an Open Government Portal adding sections on Transparency and Citizen participation.
Virtually all institutional levels have or will have in the near future open data portals that can enrich portal federating data from lower levels portals. Our platform is now ready to generate what is required for your Open Data Portal to be federated by any regional, national or supranational agencies. In particular we generate an RDF/XML -based DCAT–NTI to federate with the Spanish open data portal (https://datos.gob.es) and through the same federate in the European Open Data portal (https://www.europeandataportal.eu/), and in the same way we generate a DCAT-AP which follows the European interoperability standard.
Only a 1-day training is required to manage our portals. We provide this formation for both project management open data team and the editors of each of the agencies and units that would feed the data catalog. This formation can be online or in-person. For more complex environments with open real-time data (RTOD), you can extend the training to three days to add semantic enrichment capabilities and configuration data of dynamic data collections.
All development has been conditioned by the goal to offer this solution with very competitive prices, both in their initial levels that satisfies the needs of small local governments and other public institutions, such as universities, with most complex, powerful solutions that point to large urban centers, regional or national governments.