Open Data

Free access to certain public information is an opportunity for citizens and companies to be able to understand the key point s that define the rhythm and evolution of a country, as well as ensuring greater transparency, collaboration and participation between the institutions. In effect, we are talking about Open Data or how to make complete, quality and potentially reusable data from official sources available to the general public.

Public entities possess a formidable richness of data that may be very useful to a variety of recipients: individuals, companies, re-users and/or infomediaries make use of these data (social, economic, geographic, statistical, etc.) in order to create digital products and services. In this manner, the Reuse of Public Sector Information (RPSI) is a highly important raw material in generating economic and social value. By way of example, and according to statistics from the European Data Portal, reusing open data could save 7,000 lives a year or 629 million hours on the roads. In addition, it should not be forgotten that in Spain 60% of companies have Public Administration contracts, therefore the impact of the open data, especially in the economic sphere, is very significant.

Spain, at the forefront in open data

According to the initiative for Open Data by the Spanish Government, Aporta, there are currently 153 different active initiatives for Open Data in Spain. Such an extensive and varied ecosystem of open data favours, among other things, that Spain leads the ranking in maturity and initiatives for Open Data, as published by the European Data Portal, for both the number of sources of open data as well as their quality.

However, and in spite of this growing dissemination, the re-users (citizens, developers, sociologists, journalists, etc.) are coming across significant barriers that impede the re-use and combination of these data. On the one hand, the ‘still’ scarce harmonisation between the administrations, inevitable to ensure the efficient use of the synergies, and on the other, the necessary adhesion of a greater number of bodies. Similarly, it should not be forgotten how beneficial it would be to have a standardised data format, which would facilitate the comparison and interoperability between the different sets of data, and the overriding requirement to ensure that the information published is reliable, consistent and up-to-date.

The quality of the data

Open data is essential to create transparent, responsible and efficient institutions, as well as to guarantee the public access to the information. In fact, the number of things that could go wrong if the information gathered at the source were to be incorrect or not updated are endless.

Using this as a basis we also understand that the better structured and enriched these data are at source, the easier it will be to use them and build applications that can process them automatically. Likewise, the greater the amount of quality data, the greater the amount of information and services that may come about, therefore the benefits obtained from this will be greater, demand will grow and consequently, a greater reuse thereof.

By guaranteeing the optimum quality of these data at source we will also achieve that the tool subsequently using these standardised and corrected data, which could be Master Dater Management (MDM), Business Intelligence (BIA), Geographic Information Systems (GIS) systems, etc., provide better results.

In addition to these benefits, companies prefer a wide range of connected possibilities, such as, the development of services for smart cities and the analysis of social networks (Social Data), projects related to Big Data and the availability of data in real time as being some of the significant opportunities.

Public entities possess an enormous richness of data that may be very useful for private companies when developing quality products in order to meet the demands of the current market. DEYDE, as a company that reuses public data has always shown great interest in supporting any type of initiative aimed at promoting the dissemination of such data.

Through the use of the Data Quality tool MyDataQ it is possible to unify and optimise all the databases, thus facilitating the work of not only the people who are responsible for managing such data, but also for the companies that reuse it. MyDataQ is, in short, the basic layer upon which to implement business systems such as those previously mentioned (ERP, CRM, BI or GIS) because if the foundation is not of good quality, then neither will the results.

 

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