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    Publicado el 18.3.2013 por Pablo Hermoso de Mendoza González

    The project | Linked2Safety

    The central piece for healthcare and public health is information. Electronic Health Records (EHRs) contain an increasing wealth of medical information has the potential to significantly advance medical research, personalized healthcare, as well as health policies formulation, providing society with additional benefits within a global health perspective, with applications ranging from disease prevention and genetics to surveillance and epidemiologic studies. Healthcare Organizations and the pharmaceutical industry in Europe both share a common goal, to deliver the best possible personalized treatments and innovative medicines to improve patient outcomes. The industry believes that technological advances and broad implementation of EHRs in Europe can achieve this goal and accelerate clinical research.

    The above highlights the need for the development of an advanced environment for clinical research that enables seamless, secure and consistent integration of clinical care information in EHR with information in clinical trial systems, which will facilitate a) the early detection of patients’ safety issues, b) the identification of adverse events and c) the identification of a suitable critical mass of patients to participate in small (Phases II and III) or larger scale (Phase IV) clinical trials.

    Within this requirement formulation, we argue that recent innovations in the Semantic Web research, e.g. semantic interoperability efforts and Linked Data technologies, can support the development of an extensible, scalable architecture that will facilitate the semantic interlinking between spatially distributed clinical care information sources, electronic patients’ health
    records and clinical trials systems for gathering and sharing adequate knowledge to support decision making in medical and clinical research
    . These technologies will be empowered by a common shared infrastructure (including ontologies and common medical vocabularies, as well as health care record structures, and medical logic representations), mapping and alignment tools, patients’ data privacy, anonymity, security and authorized access techniques, for exposing, sharing, and connecting pieces of healthcare, medical and clinical data, information, and knowledge. The utilization and deployment of the aforementioned technologies for addressing semantic and technical interoperability of EHR/PHR and EDC repositories will result in an interoperability framework, which will allow homogenized, standardizedaccess to distributed patients data and clinical information resources.

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    Publicado el 29.6.2012 por Pablo Hermoso de Mendoza González

    Use Case Collecting material related to courses at The Open University - Library Linked Data

    Collecting material related to courses at The Open University (Original Case Details)

    Currently a student wishing to discover all of the material — books, DVDs, CDs, TV programmes, Podcasts, Open Educational Resources, etc. — related to a specific Open University course would have to consult a variety of data sources, each with a different system and interface, for each type of resource required. They would then need to analyze their results and integrate them manually. In a similar scenario, the same resources are needed by lecturers in creating new courses or tutorials, as well as by researchers in connecting the result of their research to existing resources. The LUCERO (Linking University Content for Education and Research Online) Project at the Open University is investigating and prototyping the use of Linked Data technologies and approaches to linking and exposing data for students and researchers.

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    Compartido el 7.1.2011 por Equipo GNOSS

     

    The KiWi EU project (http://www.kiwi-proje...) is performing a roadshow for companies and developers to inform about the results of the project and to attract people to join an open source community around KiWi. Berlin is the next part of this track from Vienna to London.

    Thus, our Meetup will focus on corporate (semantic) wiki systems.

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    Publicado el 11.11.2010 por Equipo GNOSS

    DataLift - an elevator for your data

    Datalift es un proyecto de investigación francés, que se define como "A catalyser for the Web of data".

    Datalift "eleva" datos estructurados, desde formatos diversos (bases de datos relacionales, CSV, XML, ...), a datos semánticos enlazados en la Web de los Datos (Web of Data). 

    Es un proyecto experimental financiado por la agencia INRIA, que tiene como objetivo el desarrollo de una plataforma para publicar y enlazar conjuntos de datos en la Web de los Datos. Se publicarán datos públicos provenientes de los partners del proyecto y otros proveedores de datos, y se propondrá un conjunto de herramientas que faciliten el proceso de publicación de datos.

    Los partners tecnológicos del proyecto son Mondeca Atos Origin Integration.

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    Compartido el 15.7.2009 por Ricardo Alonso Maturana

    Desde DAD aportamos no solo el capital inicial clave, sino también el conocimiento de cómo crear equipos sólidos para solucionar retos y dar el salto a un proyecto global.

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