190 research outputs found

    Research Software Engineer at the Netherlands eScience Center: Job Description

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    This document contains the job description of Research Software Engineers, at different levels of seniority, employed at the Netherlands eScience Center

    An ePLAN workshop on the new requirements for Data in Open Science 14 september 2017

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    Workshop organised by ePLAN, locally hosted by the Netherlands eScience center. Workshop topic: FAIR: Facts and Implementation

    Netherlands eScience Center Software Quality Tools

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    This presentation provides a concise overview of software quality and FAIR-software related tools developed at the Netherlands eScience Center

    Netherlands eScience Center Python Template

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    Spend less time setting up and configuring your new Python packages and comply with the Netherlands eScience Center Software Development Guide from the start. Added Instructions to add your existing code to directory generated by the NLeSC Python template #202 Keywords to questionaire #270 Next step issue generation workflow #228 Next step issue for SonarCloud integration #234 Next step issue for Zenodo integration #235 Next step issue for Read the Docs #236 Next step issue for citation data #237 Next step issue for linting #238 Next steps documentation #240 Support for sub packages in distro #160 Tests for api doc generation #213 CI Tests on Windows #140 #223 .pylintrc file Valid license name and first author name in CITATION.cff SonarCloud integration for code quality and coverage #89 Read the Docs #78 Changed Always generate API docs #176 Have 100% test coverage in generated code #88 Removed Automatic publish to PyPi after GitHub release #196 </ul

    Lightning talk: Software impact measurement at the Netherlands eScience center

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    In this lightning talk we present a new initiative at the Netherlands eScience Center (NLeSC) that aims to measure software impact, recognizing software as research output.</p

    Lightning talk: Software impact measurement at the Netherlands eScience center

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    In this lightning talk we present a new initiative at the Netherlands eScience Center (NLeSC) that aims to measure software impact, recognizing software as research output.</p

    eScience development and experiences in The Netherlands

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    The Netherlands eScience Center is the national expertise center for the development and application of research software. Collaborating with researchers from all academic disciplines, it extends the breadth and depth of research opportunities by exploiting the latest insights from computer and data science, as well as making optimal use of hardware, software, and data infrastructures. It does so through problem-driven research projects where eScience research engineers, employed by the eScience Center, collaborate with researchers in all disciplines at Dutch academic institutions. Project software is generalized and made available for reuse for other disciplines and goals. The center has three main technological competences: efficient computing, optimized data handling, and data analytics. Furthermore, on the national level it coordinates and contributes to science policies on computing, data, and applications thereof. With its two main assets, a staff of highly educated and multi-disciplinary eScience Research Engineers and an open online directory of research software tools and knowledge, it successfully contributes to the Dutch scientific landscape and enhances and accelerates all research in The Netherlands and beyond

    How the Netherlands eScience Center uses CFF to promote software citation

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    Presentation given at the Citation File Format Hack Day on 5 September 2018, co-locating with the 3rd Conference of Research Software Engineers.The presentation explains how the Citation File Format and its tooling is used to drive software citation within the Resesarch Software Directory (https://research-software.nl/) at the Netherlands eScience Center.</div

    Structured and Unstructured Teams for Research Software Development at the Netherlands eScience Center

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    This paper presents the types of teams that are currently in place at the Netherlands eScience Center. We categorize our teams into four different types: Project Teams, Collectives, Agile Teams and Scrum Teams. We provide a brief description of each team type and share stories from teams themselves to reflect on the strengths and shortcomings of each model. From our observation, we conclude that the type of team that is most suitable for each project depends on the specific needs of that project. More importantly, different types of teams are suitable for the different types of people working at the Netherlands eScience Center.Comment: 8 pages, 1 figure, 1 info panel, to appear in IEEE Computing in Science & Engineerin

    eScience to tackle challenges in Health-RI

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    The Netherlands eScience center (NLeSC) is a multi-disciplinary center, where knowledge from different scientific domains is combined with eScience expertise, for example in natural language processing, data mining and machine learning, semantic web technologies and visualization. eScience research engineers develop open source software tools, which are made freely available via the eStep platform*, and use them to tackle a wide range of scientific questions, e.g. in life sciences and health, environmental sciences, physics and humanities. The Health-RI objectives, to enable personalized medicine and health, will require the integration of a diverse range of expertise’s and technologies. For example, to enhance scientific discovery linked data approaches need to be combined with interactive data visualization and smart methods to search for relationships and patterns in large semantically connected datasets. At NLeSC we are developing unique expertise in generalizing and combining algorithms and software and data tools across domains. Our current life-sciences and eHealth projects include biomarker research, image processing, automatic diagnosis of brain data (EEG) and data of wearables, development of a FAIR data infrastructure and computational workflows for drug development. Based on our experience with this diverse portfolio of life science projects, we are developing a suite of loosely coupled software modules and libraries to tackle various challenges also posed by the Health-RI objectives. References *http://estep.esciencecenter.nl
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