
 
This strategy must offer information in open and 
free formats and with the security and trust needed. 
The benefits and responsibilities of OGD 
strategy can be seen from three role viewpoints: 
citizens, administrations and infomediaries. Citizens 
can obtain free and open access to information 
collected and generated by the public sector, no 
proprietary formats. Citizens can see institutions 
more transparent, and therefore some control of 
them. For the application developers (infomediaries) 
they can develop new products and services, 
promote new innovative solutions, and improve their 
business. Public administrations can obtain citizens 
feedback on the information they published, and 
reduce time, costs and efforts to provide information 
to the citizens. 
Not only benefits but also responsibilities are 
achieved for all the participants. Citizens primarily 
must collaborate and offer feedback to 
administrations. Infomediaries must use new 
technologies that improve the way administration 
workers and citizens’ access to data. The public 
administration must provide transparency, must 
provide a broad spectrum of data and must offer a 
stable and robust platform for present and future. 
Currently, one of the most important aspects in 
OGD is the format of public data. There are two 
main trends at least. On one side, public 
administrations web sites offer great unlinked data 
files in proprietary formats or open (Excel or 
CSV). The principal problem is that integration with 
other data and systems is no easy. On the other hand, 
some institutions seek to use data linked through to 
linked data-based formats such as RDF (RDF, 2010) 
or ontologies (OWL, 2010). 
There are several works that provide a set of 
steps to develop OGD strategy (O’Reilly, 2010): 
1.  Develop the policy directive ((www.sfmayor.org/ 
wp-content/uploads/2009/10/ED-09-06-Open-Data. 
pdf)). 
2.  Create a simple infrastructure, reliable and offer 
publicly accessible public data. 
3.  Try to use open standards that allow 
interoperability with other systems. 
4.  Create web sites that present the catalogue of 
data and develop some applications. 
5.  Share API developed with citizens to gain access 
to data without the direct intervention of the 
institution. 
6.  Share work developed with institutions in other 
countries, regions and Municipalities. 
7.  Create a list of applications that can be reused by 
employees of the institution. 
8.  Create an app-store to accommodate all public or 
private applications. 
9.  Encourage citizens and businesses to develop 
applications. 
10. Create communication channels that allow 
citizens to make proposals for new applications from 
the data shown publicly.  
11. Instruct both employees of the institution and 
citizens. 
There are different technical specifications related to 
the Semantic Web that are used in OGD. The 
Resource Description Framework specification, 
RDF (www.w3.org/RDF/) is a standard for 
exchanging data on the Web. RDF allows the unique 
resource description in the web space and establishes 
relationships with other objects. You can execute 
queries on these data through the SPARQL language 
(www.w3.org/TR/rdf-sparql-query/). We can find 
different tools to convert from various formats to 
RDF in (esw.w3.org/ConverterToRdf). 
3 A CASE STUDY 
3.1  Municipality Population Census 
San Cristóbal de La Laguna is the third most 
populated municipality in Canary Islands, Spain 
(http://www.aytolalaguna.com). The Gerencia de 
Urbanismo is an autonomous institution that 
depends from the town hall and takes care of many 
different services related to urbanistic issues. The 
Population Census is one of the most important 
sources of citizen’s information. 
3.2 Requirements 
The release of public information of interest for the 
citizens is becoming a major concern for the IT 
responsible at La Laguna local government. The 
purpose of this experience is to prove the feasibility 
of OGD implantation in this administration. Later 
on, and based on the experience acquired while 
developing this example, we would develop a well-
defined protocol to follow in order to extend the 
release to other datasets. Besides this, there were 
other ideas to take into account: 
-  Data to work with: use existing real data to face 
real issues, and work with a small but representative 
dataset. 
-  Integration with existing systems: keep current 
data stores isolated from the publication system for 
safety and integraty, allow to publish from 
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