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Un municipio es una organización fundamental para el desarrollo de la comunidad. Su finalidad es brindar servicios que aseguren la participación en el progreso económico, social y cultural de los ciudadanos. Para favorecer estas tareas y apoyar su gestión, en los últimos años, los municipios han incorporado tecnologías de la información y comunicación como una estrategia eficaz. Sin embargo, el nivel de adopción de estas herramientas no es homogéneo entre municipios, lo que puede implicar grandes diferencias en la forma en que éstos entregan sus servicios a la ciudadanía. Por otro lado, las Arquitecturas Empresariales son instrumentos de dirección e integración de las tecnologías de la información y comunicación para toda la empresa y favorecen la estandarización, convergencia e interoperabilidad en los gobiernos locales, puesto que es posible lograr una visión holística del gobierno local que incluye información, personas y tecnología. En consecuencia con lo anterior, en este documento se propone la creación de una arquitectura empresarial de referencia para municipios que soporte un conjunto de servicios mínimos que permitan lograr un nivel de equidad básico en cuanto a la atención de la ciudadanía.

Los Sistemas de Información se pueden comparar con los sistemas de fabricación de productos en el sentido que estos últimos generan productos físicos a partir de materia prima, y los primeros generan productos de información a partir de datos puros. Esta analogía enfatiza la idea de que los productos, ya sean físicos de o información, tienen un valor que es transferible al consumidor. Si se considera que un Sistema de Información tiene como propósito entregar Productos de Información de alta calidad, entonces la Calidad de Datos o Calidad de Información es un factor importante de considerar en su producción. Efectivamente, la calidad de los datos suele definirse como "datos apropiados para el uso", es decir, datos que sean de utilidad para los consumidores/usuarios en un contexto de uso específico. Considerando todo lo anterior, esta propuesta de investigación se centra en la idea de que la calidad de los datos debe ser abordada desde que comienza el desarrollo de un Producto de Información, es decir desde cuando se crea el Sistema de Información que lo generará. Así, en este artículo se presenta un método que guía a un equipo de desarrollo a construir Sistemas de Información centrándose en la Calidad de Datos. Concretamente se describe la primera versión de este método, orientada a la etapa de especificación de requisitos de un Sistema de Información con Calidad de Datos. Junto con esto, se presenta un caso de estudio en el que se muestra cómo se ha aplicado el método en el desarrollo de un Sistema de Información.

Web portals have emerged as an important means by which to access data on the worldwide. The people that use these applications need to ensure that the data recovered is suitable for the task at hand. That is, they need to know the level of quality of the data obtained. This paper introduces the PoDQA (Portal Data Quality Assessment) tool which implements PDQM, a Portal Data Quality Model, which is centered upon the data consumer perspective. Thus, the measurement of data quality is carried out by using the point of view of data consumers. Our work aims to fill the lack of specific proposals for the DQ evaluation in Web portals and tools that put these proposals into practice. The paper illustrate how PoDQA tool works and how it can be used by data consumers in order to, for example, discover the data quality of a specific web portal. PoDQA also suggests several corrective maintenance activities for users who are interested in the improvement of the data quality of their Web portals.

Data Quality is a critical issue in today's interconnected society. Advances in technology are making the use of the Internet an ever-growing phenomenon and we are witnessing the creation of a great variety of applications such as Web Portals. These applications are important data sources and/or means of accessing information which many people use to make decisions or to carry out tasks. Quality is a very important factor in any software product and also in data. As quality is a wide concept, quality models are usually used to assess the quality of a software product. From the software point of view there is a widely accepted standard proposed by ISO/IEC (the ISO/IEC 9126) which proposes a quality model for software products. However, until now a similar proposal for data quality has not existed. Although we have found some proposals of data quality models, some of them working as "de facto" standards, none of them focus specifically on web portal data quality and the user's perspective. In this paper, we propose a set of 33 attributes which are relevant for portal data quality. These have been obtained from a revision of literature and a validation process carried out by means of a survey. Although these attributes do not conform to a usable model, we think that it might be considered as a good starting point for constructing one.

Companies lost a lot of money owing to data quality problems. This because bad decisions based on incorrect information, breach of rules or the failure to deal with customer problems in a timely manner. Currently data have become one of the most important assets for the organizations. Thus, data quality is a concern that involves both information technology people and business people. In the context of the business process management, the early specification of data quality requirements can be a crucial factor. This article present the results of a research aimed at identifying the terminology used by the business people to express data quality issues. This is a first step to aim improve the communication between business experts and information technology experts. As a result we identified a list of 20 problems and 45 data quality characteristics.

BPMN is a notation for business process modeling through which it is possible to represent multiple characteristics of the analyzed business processes. However, although in a business process data play a fundamental role, it is still not possible to model data quality issues using BPMN due mainly to the lack of a specific notation. Since data quality is one of the main elements for achieving the business process goals, we aim to develop a comprehensive framework that supports the design of data quality-aware business processes. In this paper, we mainly focus on the part related to the elicitation and definition of data quality requirements and we present an extension of BPMN suitable to include them at a business process modeling level.

The Internet is a perfect environment for the daily exchange and publication of data, and Web portals serve as an important means to access information worldwide. Those who use these applications may find a considerable amount of data which might equally be correct or incorrect. However, it is important to attain useful data and suitable information since consumers use it in their everyday tasks. We therefore identify the need to evaluate data quality in Web portals and define a data quality model, denominated as SPDQM (SQuaRE Portal Data Quality Model), which is based on a previous model, PDQM (Portal Data Quality Model) and the ISO/IEC 25012, the Data Quality standard, part of the SQuaRE (Software product Quality Requirements and Evaluation) family.

Web portals are Internet-based applications that provide a big amount of data. The data consumer who uses the data given by these applications needs to assess data quality. Due to the relevance of data quality on the Web together with the fact that DQ needs to be assessed within the context in which data are generated, data quality models specific to this context are necessary. In this chapter, we will introduce a model for data quality in Web portals (PDQM). PDQM has been built upon the foundation of three key aspects: (1) a set of Web data quality attributes identified in the literature in this area, (2) data quality expectations of data consumers on the Internet, and (3) the functionalities that a Web portal may offer its users.

Advances in technology and the use of the Internet have favoured the emergence of a large number of Web applications, including Web Portals. Web portals provide the means to obtain a large amount of information therefore it is crucial that the information provided is of high quality. In recent years, several research projects have investigated Web Data Quality; however none has focused on data quality within the context of Web Portals. Therefore, the contribution of this research is to provide a framework centred on the point of view of data consumers, and that uses a probabilistic approach for Web portal's data quality evaluation. This paper shows the definition of operational model, based in our previous work.

Web portals are emerging Internet-based applications that enable access to different sources (providers). Through portals the organizations develop their businesses within what is a more and more competitive environment. A decisive factor for this competitiveness and for achieving the users’ loyalties is portal quality. In addition, we live in an information society, and the ability to rapidly define and assess data quality of Web portals for decision making provides a potential strategic advantage. With this in mind, our work was focused on quality of Web portals. In this article we present a part of it: a portal quality model and the first phases in the developing of a data quality model for Web portals.

Advances in technology and the use of the Internet have favoured the appearance of a great variety of Web applications, among them Web Portals. These applications are important information sources and/or means of accessing information. Many people need to obtain information by means of these applications and they need to ensure that this information is suitable for the use they want to give it. In recent years, several research projects were conducted on topic of Web Data Quality. However, there is still a lack of specific proposals for the data quality of portals. In this paper we introduce a model for the data quality in Web portals.

Web portals are currently being used on an ever-increasing basis as a source of data to assist in users’ daily tasks. However, not all web portals offer data with the same level of quality. It is therefore fundamental to identify which quality characteristics affect the data. Moreover, data quality needs depend on the type of user, and the importance that different users place on each data quality characteristic is therefore different. Bearing this in mind, we first present a data quality model for web portals which identifies four categories: intrinsic, contextual, representational and operational. In this paper, we focus on studying the intrinsic and contextual categories from the perspective of users with university studies. More specifically, we establish the preferences of users with regard to the data quality characteristics studied, and discover whether any differences exist according to their gender and age range.

Web portals provide data to many people where data consumers need to assess Data Quality (DQ). In our previous work a Portal Data Quality Model (PDQM) was developed. PDQM is focused on data consumers' perspective and is composed by 33 attributes appropriate for DQ evaluation. Now, we have organised these attributes into a generic and operational structure. Considering the uncertainty inherent in perception of quality, we decided to use a probabilistic approach, using Bayesian Networks (BNs). This paper, explains the definition of the BN structure that supports PDQM.

The Internet is now firmly established as an environment for the administration, exchange and publication of data. To support this, a great variety of Web applications have appeared, among these web portals. Numerous users worldwide make use of Web portals to obtain information for different purposes. These users, or data consumers, need to ensure that this information is suitable for the use to which they wish to put it. PDQM (portal data quality model) is a model for the assessment of portal data quality. It has been implemented in the PoDQA tool (portal data quality assessment tool), which can be accessed at http://podqa.webportalqualitv.com. In this paper we present the various refinements that it has been necessary to make in order to obtain a tool which is stable and able to make accurate and efficient calculations of the elements needed to assess the quality of the data of a Web portal.

Advances in technology and the use of the Internet have favoured the appearance of a great variety of Web applications, among them Web Portals. These applications are important information sources and/or means of accessing information. Many people need to obtain information by means of these applications and they need to ensure that this information is suitable for the use they want to give it. In other words, they need to assess the quality of the data. In recent years, several research projects were conducted on topic of Web Data Quality. However, there is still a lack of specific proposals for the data quality of portals. In this paper we introduce a model for the data quality in Web portals (PDQM). PDQM has been built upon the foundation of three key aspects: a set of Web data quality attributes identified in the literature in this area, data quality expectations of data consumers on the Internet, and the functionalities that a Web portal may offer to its users.

The technological advances and the use of the internet have favoured the appearance of a great diversity of web applications, among them Web Portals. Through them, organizations develop their businesses in a really competitive environment. A decisive factor for this competitiveness is the assurance of data quality. In the last years, several research works on Web Data Quality have been developed. However, there is a lack of specific proposals for web portals data quality. Our aim is to develop a data quality model for web portals focused on three aspects: data quality expectations of data consumer, the software functionality of web portals and the web data quality attributes recompiled from a literature review. In this paper, we will present the first version of our model.

The technological advances and the use of the internet have favoured the appearance of a great diversity of web applications, among them Web Portals. Through them, organizations develop their businesses in a really competitive environment. A decisive factor for this competitiveness is the assurance of data quality. In the last years, several research works on Web Data Quality have been developed. However, there is a lack of specific proposals for web portals data quality. Our aim is to develop a data quality model for web portals focused -oin three aspects: data quality expectations of data consumer, the software functionality of web portals and the web data quality attributes recompiled from a literature review. In this paper, we will present the first version of our model.

Websites that provide a high level of data quality should logically be more visible for search engines. However, search engines base their results on methods such as Web hyperlink structure analysis and ignore data quality. The authors evaluate data quality in a group of 88 Web portals in three different domains and compare the results with the sites' positions in a visibility ranking. Looking at the relationship between data-quality level and visibility, their results show that data quality isn't a key factor in visibility.