42 research outputs found

    LifeTrain: Driving lifelong learning for biomedical professionals

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    This article describes LifeTrain — the European common framework for continuing professional development in the biomedical sciences. An important goal of LifeTrain is to support biomedical professionals to work collaborativelyacross disciplines, sectors and national boundaries. LifeTrain is an open community with a unifying goal; it brings together many excellent, but disparate, activities into a process towards establishing a focused and coherentframework for continuing professional development in the biomedical sciences. This collaborative approach provides the critical mass to make a major contribution to strengthen the skills and competencies of biomedical professionals in a rapidly changing environment. LifeTrain's signatories, which include multinational pharmaceutical companies, research infrastructures, professional and scientific bodies, higher-education institutes and research institutes, have agreed to the principles of the framework and to continue to collaborate to implement LifeTrain. We warmly invite others to join us

    The development and application of bioinformatics core competencies to improve bioinformatics training and education

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    Bioinformatics is recognized as part of the essential knowledge base of numerous career paths in biomedical research and healthcare. However, there is little agreement in the field over what that knowledge entails or how best to provide it. These disagreements are compounded by the wide range of populations in need of bioinformatics training, with divergent prior backgrounds and intended application areas. The Curriculum Task Force of the International Society of Computational Biology (ISCB) Education Committee has sought to provide a framework for training needs and curricula in terms of a set of bioinformatics core competencies that cut across many user personas and training programs. The initial competencies developed based on surveys of employers and training programs have since been refined through a multiyear process of community engagement. This report describes the current status of the competencies and presents a series of use cases illustrating how they are being applied in diverse training contexts. These use cases are intended to demonstrate how others can make use of the competencies and engage in the process of their continuing refinement and application. The report concludes with a consideration of remaining challenges and future plans

    iAnn: an event sharing platform for the life sciences

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    Summary: We present iAnn, an open source community-driven platform for dissemination of life science events, such as courses, conferences and workshops. iAnn allows automatic visualisation and integration of customised event reports. A central repository lies at the core of the platform: curators add submitted events, and these are subsequently accessed via web services. Thus, once an iAnn widget is incorporated into a website, it permanently shows timely relevant information as if it were native to the remote site. At the same time, announcements submitted to the repository are automatically disseminated to all portals that query the system. To facilitate the visualization of announcements, iAnn provides powerful filtering options and views, integrated in Google Maps and Google Calendar. All iAnn widgets are freely available. Availability: http://iann.pro/iannviewer Contact: [email protected]

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    It's All GO for Plant Scientists

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    The Gene Ontology project (http://www.geneontology.org/) produces structured, controlled vocabularies and gene product annotations. Gene products are classified according to the cellular locations and biological process in which they act, and the molecular functions that they carry out. We annotate gene products from a broad range of model species and provide support for those groups that wish to contribute annotation of further model species. The Gene Ontology facilitates the exchange of information between groups of scientists studying similar processes in different model organisms, and so provides a broad range of opportunities for plant scientists

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    Data Standards: A Call to Action

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