Translational research combining orthologous genes and human diseases with the OGOLOD dataset

OGOLOD is a Linked Open Data dataset derived from different biomedical resources by an automated pipeline, using a tailored ontology as a scaffold. The key contribution of OGOLOD is that it links, in new RDF triples, genetic human diseases and orthologous genes, paving the way for a more efficient translational biomedical research exploiting the Linked Open Data cloud

Publishing Orthology and Diseases Information in the Linked Open Data Cloud

The Linked Data initiative offers a straight method to publish structured data in the World Wide Web and link it to other data, resulting in a world wide network of semantically codified data known as the Linked Open Data cloud. The size of the Linked Open Data cloud, i.e. the amount of data published using Linked Data principles, is growing exponentially, including life sciences data. However, key information for biological research is still missing in the Linked Open Data cloud. For example, the relation between orthologs genes and genetic diseases is absent, even though such information can be used for hypothesis generation regarding human diseases. The OGOLOD system, an extension of the OGO Knowledge Base, publishes orthologs/diseases information using Linked Data. This gives the scientists the ability to query the structured information in connection with other Linked Data and to discover new information related to orthologs and human diseases in the cloud

Using the ResearchEHR platform to facilitate the practical application of the EHR standards

Possibly the most important requirement to support co-operative work among health professionals and institutions is the ability of sharing EHRs in a meaningful way, and it is widely acknowledged that standardization of data and concepts is a prerequisite to achieve semantic interoperability in any domain. Different international organizations are working on the definition of EHR architectures but the lack of tools that implement them hinders their broad adoption. In this paper we present ResearchEHR, a software platform whose objective is to facilitate the practical application of EHR standards as a way of reaching the desired semantic interoperability. This platform is not only suitable for developing new systems but also for increasing the standardization of existing ones. The work reported here describes how the platform allows for the edition, validation, and search of archetypes, converts legacy data into normalized, archetypes extracts, is able to generate applications from archetypes and finally, transforms archetypes and data extracts into other EHR standards. We also include in this paper how ResearchEHR has made possible the application of the CEN/ISO 13606 standard in a real environment and the lessons learnt with this experience. © 2011 Elsevier Inc..This work has been partially supported by the Spanish Ministry of Science and Innovation under Grants TIN2010-21388-C02-01 and TIN2010-21388-C02-02, and by the Health Institute Carlos in through the RETICS Combiomed, RD07/0067/2001. Our most sincere thanks to the Hospital of Fuenlabrada in Madrid, including its Medical Director Pablo Serrano together with Marta Terron and Luis Lechuga for their support and work during the development of the medications reconciliation project.Maldonado Segura, JA.; Martínez Costa, C.; Moner Cano, D.; Menárguez-Tortosa, M.; Boscá Tomás, D.; Miñarro Giménez, JA.; Fernández-Breis, JT.... (2012). Using the ResearchEHR platform to facilitate the practical application of the EHR standards. Journal of Biomedical Informatics. 45(4):746-762. doi:10.1016/j.jbi.2011.11.004S74676245

Entorno para la gestión semántica de información biomédica en investigación traslacional

El trabajo de esta tesis ha estado enfocado principalmente a la investigación de soluciones al problema de relacionar repositorios de información biomédica en la investigación traslacional. La investigación traslacional se define como la aplicación de resultados de investigaciones biomédicas básicas a nivel clínico. Así, se ha definido una metodología de integración de repositorios de información biomédica a través del uso de las tecnologías de la Web semántica para generar un repositorio semántico integrado. Este repositorio generado contiene el conocimiento y la información asociados a los repositorios fuente integrados. Por otro lado, se ha definido un entorno de gestión y explotación semántico del repositorio semántico integrado. Este sistema se ha diseñado tanto para facilitar a médicos y biólogos consultar dicho repositorio integrado, como a aplicaciones autónomas, en la investigación traslacional. Así, se pueden desarrollar sistemas más avanzados que asistan a investigadores en tareas de análisis, búsqueda y comparación de información. This thesis is focused on the research of solutions to the problem of linking biomedical information repositories in translational research. Translational research is defined as the application of basic biomedical research results at clinical level. Thus, a methodology was defined for integrating biomedical information repositories using semantic Web technologies. As a result of such methodology an integrated semantic repository is created. This repository contains the knowledge and the information related to the integrated source repositories. Moreover, a system was designed and developed to exploit and manage the integrated semantic repository. This system is designed both to allow physicians and biologists consult the integrated repository, as an autonomous applications in translational research. Thus, third-party systems can exploit the integrated semantic repository to develop more advanced tools to assist researchers in analyzing, searching and comparing biomedical information

Ontology-Driven Method for Integrating Biomedical Repositories

Abstract. Handling the increasing number of biological repositories and the growing amount of information they contain is a significant challenge for researchers. Thus, Semantic Web Technologies are the basis of the new approaches that are dealing with such challenges. In this paper, we describe a methodology to manage the integration of biomedical repositories into a knowledge base. This method is based on the explicit definition of the mappings between relational resources and the domain ontology and the conditions that determine the identity of a particular instance. We will describe both the method and its application to the OGO system which integrates orthologous genes and genetic diseases repositories into an ontological knowledge base

Investigación educativa en las aulas de primaria

Reúne trabajos derivados de la experiencias de diversos docentes en educación primaria en los siguientes temas: Tecnología de Información y Comunicación, educación inclusiva, enseñanza de la música, educación física, enseñanza de la historia, acoso escolar, auto-evaluación, métodos de enseñanza, inteligencia emocional, percepción del alumno, marco cognitivo en comprensión lectora y comunicación escuela-familia