Legora@IESS1.0
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Legora (Legal and e-government practitioners’ agora) presented during the Societal IESS Forum 1.0 , 17 February 2010, Geneva, Switzerland.
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The development of a data driven economy has been a major orientation of economic policies over the past few years based on (i) the wider availability of data promoted in particular by the Open Data movement and (ii) the development of dedicated tools to support heterogeneous data and data in large quantities (Big data). Reports anticipate the creation of enormous amounts of economic activity and growth opportunities. However the promise of the data-driven economy lies to a large extent in the development of new services. The return on investment of open data policies for instance should be evaluated from the services created based on open data sets. Open data promoters couple more and more open data initiatives with actions dedicated to the promotion of the datasets for the creation of new services. Nevertheless the results in terms of services created remain below the expectations of open data promoters. Indeed most services created are not sustainable and / or do not use the variety of datasets. They are to a wide extent relying on a limited number of very popular datasets. In order to make the promise of the data-driven economy a reality, it is therefore necessary to increase reuse and value extracted by services from data. Our hypothesis is that service innovation approaches can help understand the mechanisms that drive the creation of services. We therefore propose to analyse the roles that the data can have in the design of services based on a theoretical framework of service innovation.
From open data to data-driven services
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1 Public Research Centre Henri Tudor, Luxembourg-Kirchberg, Kirchberg
2 Université Paris 8, Vincennes-Saint-Denis, France
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Authors:
Muriel Foulonneau, Sébastien Martin, Slim Turki
Public Research Centre Henri Tudor, Luxembourg
{name.surname}@tudor.lu
IESS 2014 – 5th Int. Conf. on Exploring Services Science
5-7 February 2014
Geneva, Switzerland
The full paper is available here: http://link.springer.com/chapter/10.1007%2F978-3-319-04810-9_3
1-5 stars: Metadata on the Openness Level of Open Data Sets in Europe
Authors: Sébastien Martin, Muriel Foulonneau, Slim Turki
Paris VIII University, France
Public Research Centre Henri Tudor, Luxembourg
http://link.springer.com/chapter/10.1007%2F978-3-319-03437-9_24
Presented during MTSR 2013 / 7th Metadata and Semantics Research Conference
http://mtsr2013.teithe.gr/
Abstract. The development of open data requires a better reusability of data. Indeed, the catalogs listing data dispersed in different countries have a crucial role. However, the degree of openness is also a key success factor for open data. In this paper, we study the PublicData.eu catalogue, which allows accessing open datasets from European countries and analyse the metadata recorded for each dataset. The objectives are to (i) identify the quality of a sample of metadata properties, which are critical to enable data reuse and to (ii) study the stated level of data openness. The study uses the Tim Berners-Lee’s five star evaluation scale.
SPOCS: A semantic interoperability layer to support the implementation of the...
The main purpose of the paper is to present a case study of the use of semantic technologies within e‐
Government context. We aim to describe the semantic layer that was designed in the scope of the SPOCS project to enable the validation of documents in the scope of cross border procedures. The SPOCS project (Simple Procedures Online for Cross‐ Border Services) focuses in particular on the transfer of documents to European administrations in the scope of procedures to deliver services across borders. One of the problems that arise is the heterogeneity of documents between countries even they have the same role. With the increase of cross border activities encouraged by the service directive in particular, electronic procedures are more important than ever. The project has therefore set up an infrastructure
including the transfer of documents in a metadata container and the validation of documents. Cross‐border service pilots
have been implemented to show the added value of the SPOCS infrastructure. To overcome the problem of semantic equivalence of documents, the European Commission has encouraged the implementation of a semantic layer to support the interoperability between administrative systems and the reuse of resources across government bodies. In the scope of the SPOCS project, we have implemented a set of pilots to illustrate the added value of implementing a semantic
interoperability layer and developing common models and vocabularies. Common ontologies have been designed to describe documents, equivalences, and procedures. Specific access mechanisms have been implemented to automatically verify the status of European companies. Finally, semantic rules have been created to determine the procedure that needs to be used in order to provide a cross border service. SPOCS resources are posted to the JoinUp portal.
Open Data: Barriers, Risks, and Opportunities
Despite the development of Open Data platforms, the wider deployment of Open Data still faces significant barriers. It requires identifying the obstacles that have prevented e-government bodies either from implementing an Open Data strategy or from ensuring its sustainability.
This paper presents the results of a study carried out between June and November 2012, in which we analyzed three cases of Open Data development through their platforms, in a medium size city (Rennes, France), a large city (Berlin, Germany), and at national level (UK). It aims to draw a clear typology of challenges, risks, limitations and barriers related to Open Data. Indeed the issues and constraints faced by re-users of public data differ from the ones encountered by the public data providers. Through the analysis of the experiences in opening data, we attempt to identify how barriers were overcome and how risks were managed. Beyond passionate debates in favor or against Open Data, we propose to consider the development of an Open Data initiative in terms of risks, contingency actions, and expected opportunities. We therefore present in this paper the risks to Open Data organized in 7 categories: (1) governance, (2) economic issues, (3) licenses and legal frameworks, (4) data characteristics, (5) metadata, (6) access, and (7) skills.
Sébastien Martin 1, Muriel Foulonneau 2, Slim Turki 2, Madjid Ihadjadene 1
1 Université Paris 8, Vincennes-Saint-Denis, France
2 PRC Henri Tudor, Luxembourg, Luxembourg
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