978 resultados para Open Access Data
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Primera conferencia. Bibliotecas y Repositorios Digitales: Gestión del Conocimiento, Acceso Abierto y Visibilidad Latinoamericana. (BIREDIAL) Mayo 9 al 11 de 2011. Bogotá, Colombia.
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A current movement for organising and disseminating the world’s research through Web technology
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How the argument for Open Access hasd been made to government and the research industry over the last ten years.
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Linked Open data – a platform for modern science, engineering, education and business. In the more recent talk, Sir Nigel Shadbolt speaks about "The Value of Openess - The Open Data Institute and Publically Funded Open Data" during the Natural History Museum of London Informatics Horizons event.
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Short set of slides explaining the workflow from a university website to equipment.data.ac.uk
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Looking at the Wider Picture of Open Access and other Open Agendas affecting Universities
Predicting sense of community and participation by applying machine learning to open government data
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Community capacity is used to monitor socio-economic development. It is composed of a number of dimensions, which can be measured to understand the possible issues in the implementation of a policy or the outcome of a project targeting a community. Measuring community capacity dimensions is usually expensive and time consuming, requiring locally organised surveys. Therefore, we investigate a technique to estimate them by applying the Random Forests algorithm on secondary open government data. This research focuses on the prediction of measures for two dimensions: sense of community and participation. The most important variables for this prediction were determined. The variables included in the datasets used to train the predictive models complied with two criteria: nationwide availability; sufficiently fine-grained geographic breakdown, i.e. neighbourhood level. The models explained 77% of the sense of community measures and 63% of participation. Due to the low geographic detail of the outcome measures available, further research is required to apply the predictive models to a neighbourhood level. The variables that were found to be more determinant for prediction were only partially in agreement with the factors that, according to the social science literature consulted, are the most influential for sense of community and participation. This finding should be further investigated from a social science perspective, in order to be understood in depth.
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El Seminario Permanente de Inform??tica del CEP de Zamora presenta un manual de inform??tica para formaci??n del profesorado y para que lo utilicen como material de apoyo en el aula. Consta de tres partes: sistema operativo de MS-DOS, procesador de textos y base de datos estos dos ??ltimos de Open Access. Se dan nociones generales de inform??tica para familiarizarse con el uso del ordenador y se ense??a el manejo de los paquetes inform??ticos antes mencionados.
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Se presenta una experiencia de elaboración de materiales de Física y Química usando la hoja de cálculo de Open Access II aplicada a tercero de BUP y COU. Se analiza el contexto del centro en el que se desarrolla la experiencia y se procede a la presentación del proyecto, especificando los objetivos propuestos, las posibles aplicaciones didácticas de la hoja de cálculo, la metodología de trabajo en el aula y los conocimientos informáticos necesarios para utilizar el material elaborado. Se presentan los modelos sobre los que se trabaja: 1. Cinética química, 2. Equilibrio químico, 3. Valoración ácido-base, 4. Reacciones de precipitación, 5. Farmacocinética: dosificación de medicamentos, 6. Tiros, 7. Oscilador armónico lineal, 8. Composición de movimientos vibratorios armónicos, 9. Ondas. 10. Interferencias y pulsaciones. Para cada modelo se presenta una guía del profesor y un guión de trabajo para el alumno. El uso de estas aplicaciones acerca al alumno a las técnicas de modelización y simulación. Se adjuntan transparencias y diskettes de apoyo.
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Traditionally, the formal scientific output in most fields of natural science has been limited to peer- reviewed academic journal publications, with less attention paid to the chain of intermediate data results and their associated metadata, including provenance. In effect, this has constrained the representation and verification of the data provenance to the confines of the related publications. Detailed knowledge of a dataset’s provenance is essential to establish the pedigree of the data for its effective re-use, and to avoid redundant re-enactment of the experiment or computation involved. It is increasingly important for open-access data to determine their authenticity and quality, especially considering the growing volumes of datasets appearing in the public domain. To address these issues, we present an approach that combines the Digital Object Identifier (DOI) – a widely adopted citation technique – with existing, widely adopted climate science data standards to formally publish detailed provenance of a climate research dataset as an associated scientific workflow. This is integrated with linked-data compliant data re-use standards (e.g. OAI-ORE) to enable a seamless link between a publication and the complete trail of lineage of the corresponding dataset, including the dataset itself.