405 search results for “from data to insight” in the Library website
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Huub RottgeringFaculty of Science
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Akos KovácsFaculty of Science
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Mitra BaratchiFaculty of Science
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Ralph Rippe
Faculty of Social and Behavioural Sciences
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Jan van RijnFaculty of Science
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Koos BiesmeijerFaculty of Science
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Marco RoosFaculty of Science
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Xinming XuFaculty of Science
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Daniela GawehnsFaculty of Science
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Rogier CreemersFaculty of Humanities
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Not words, but data: guidance on healthcare dilemmas for transgender young people
There are differing opinions about healthcare for transgender young people. Lieke Vrouenraets investigated the ethical dilemmas.
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Timo KosExecutive Board
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Publishing Data in a Data Repository
Workshop
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Hadassah DrukarchFaculteit der Rechtsgeleerdheid
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Connect & Open Up: Evolution of a researcher's data management practices: from data hazard to data steward
Webinar
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Simon Portegies ZwartFaculty of Science
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Rob KonijnFaculty of Science
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Saber SalehkaleybarFaculty of Science
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Francesco BariattiFaculty of Science
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Lincen YangFaculty of Science
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Armel LefebvreFaculty of Science
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Anton SchreuderFaculty of Science
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Richard van DijkFaculty of Science
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Sina MohammadiFaculty of Science
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Willem Jan PalenstijnFaculty of Science
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Ugo Vespier -
Marieke VinkenoogFaculty of Science
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Christina Pasvanti GkiokaFaculteit der Rechtsgeleerdheid
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Mireadili KuerbanFaculty of Science
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Simone van der HofFaculteit der Rechtsgeleerdheid
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Gavin RobinsonFaculteit der Rechtsgeleerdheid
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Christoph KellerFaculty of Science
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Koen KuijkenFaculty of Science
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Ignas SnellenFaculty of Science
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Jarle BrinchmannFaculty of Science
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Frans van LunterenFaculty of Science
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Vincent IckeFaculty of Science
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Jacqueline HodgeFaculty of Science
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Joop SchayeFaculty of Science
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Matthew KenworthyFaculty of Science
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Rychard BouwensFaculty of Science
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Xander TielensFaculty of Science
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Romain AvellanFaculty of Science
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RDM Checklist
In short, data management can be defined as the creation, storage, maintenance, disclosure, archiving and sustainable preservation of research data. Increasingly the so called FAIR principles are referred to as a final goal: data should be made 'Findable, Accessible, Interoperable and Re-usable'.
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Amin Abolghasemi -
Christos AthanasiadisFaculty of Science
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Qianru MengFaculty of Science
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Olivier BéquignonFaculty of Science
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Love Data Week: To keep or discard, a workshop on research data retention
Workshop
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Connect & Visualise: Data journeys in popular science
Webinar with Q&A