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  • Workflow4Experimenters International Course

    29 May - 2 June 2017

    Workflow4Experimenters International Course Processing, statistical analysis, and annotation of metabolomics data is a complex task for experimenters since it involves many steps and requires a good knowledge of both the methodology and software tools. The (W4M) online infrastructure provides a user-friendly and high-performance environment with advanced computational modules for building, running, and sharing complete workflows for LC-MS, GC-MS, and NMR analysis (Giacomoni et al, 2015). Goals: During this one-week course, participants will learn how to use the W4M infrastructure to analyze their own dataset. Morning sessions will be dedicated to methodology and tools. Afternoon sessions will be devoted to tutoring. 2017-05-29 08:35:00 UTC 2017-06-02 19:25:00 UTC IFB (Elixir-Fr) NMR Metabolic pathways Metabolomics Pasteur Institute, PARIS [] Life Science Researchers workshops_and_courses [] GalaxyWorkflows
  • Workshop on Research Objects (RO2018)

    29 October 2018

    Amsterdam, Netherlands

    Workshop on Research Objects (RO2018) In this workshop we will explore recent advancements in Research Objects and publishing of research data. **Deadlines**: * 2018-07-01 Abstracts due * 2018-07-15 Research articles and software/data articles due A travel bursary is available for accepted speakers, sponsored by [BioExcel]( (H2020-675728) ## Research Objects Scholarly Communication has evolved significantly in recent years, with an increasing focus on **Open Research**, [FAIR]( sharing and community-developed open source methods. A question remains on how to publish, archive and explore digital research outputs. A number of initiatives have begun to explore how to package and describe research outputs, data, methods, workflows, provenance and structured metadata, reusing existing Web standards and formats. Such efforts aim to address the challenges of structuring multi-part research outcomes with their context, handling distributed and living content and porting and safely exchange what we collectively can call **Research Objects** between platforms and between researchers. In the workshop **RO2018**, part of [IEEE eScience 2018]( in Amsterdam, we will explore recent advancements in Research Objects and publishing of research data with peer-reviewed presentations, invited talks, short demos, lightning talks and break-out sessions to further build relationships across scientific domains and RO practitioners. ## Call for Papers RO2018 welcomes submissions of academic abstracts (1-2 pages), data/software articles (3-6 pages) and short research articles (4-8 pages) on cross-cutting case studies or specific research on topics including, but not limited to: FAIR metrics; platforms, infrastructure and tools; lifecycles; access control and secure exchange; examples of exploitation and application; executable containers; metadata, packaging and formats; credit, attribution and peer review; dealing with scale and distribution; driving adoption within current scholarly communications and alignments with community efforts; and domain-specific and cross-domain Research Objects. Further details on submitting: []( ## Timeline 2018-07-01 Abstracts due 2018-07-15 Research articles and software/data articles due 2018-08-31 Notification of acceptance 2018-08-31 IEEE eScience 2018 early-bird registration deadline 2018-10-29 RO2018 workshop at IEEE eScience 2018 2018-10-29 09:00:00 UTC 2018-10-29 17:00:00 UTC The University of Manchester,, IEEE Mövenpick Hotel Amsterdam City Centre, 11, Piet Heinkade, Amsterdam, Netherlands Mövenpick Hotel Amsterdam City Centre, 11, Piet Heinkade Amsterdam Amsterdam Netherlands Workflows Software engineering Ontology and terminology Informatics Data submission, annotation and curation Data identity and mapping Data integration and warehousing Data architecture, analysis and design Data management Computer science [] For any questions, email the Workshop Organizers at BioExcel [] workshops_and_courses [] digital archivesdata repositorylinked dataWorkflows

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