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DTSTART;TZID=Europe/Stockholm:20260908T110000
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UID:199282-1788865200-1788868800@www.scilifelab.se
SUMMARY:From Messy Data to Clean Datasets: A Practical Introduction to OpenRefine
DESCRIPTION:Messy and inconsistent data is a common challenge in research\, often making it difficult to analyse\, share\, and reuse data effectively. Improving data quality is therefore a key step towards more reproducible research and better alignment with Open Science and FAIR principles. \n\n\n\nIn this session\, we will introduce OpenRefine\, an open-source tool designed to help researchers explore\, clean\, and transform messy tabular data. OpenRefine is particularly useful for working with spreadsheets and datasets containing inconsistencies such as duplicate entries\, varying formats\, or typographical errors. \n\n\n\nWe will begin with a short introduction to the types of data challenges OpenRefine can address\, followed by a live demonstration showing how to work with real data. The demo will highlight key features and how these can be used to efficiently identify and resolve inconsistencies in datasets. \n\n\n\nThe session will conclude with an open Q&A\, providing an opportunity to ask questions and discuss how these approaches can be applied in your own research context. \n\n\n\nNo prior experience with OpenRefine is required.  \n\n\n\nElisavet Torstensson\, SciLifeLab\, Data Steward NBIS- FEGA Sweden Helpdesk Team- Elixir Sweden \n\n\n\nMore information\nThis event is part of the SciLifeLab Open Science seminar series\, an event series by the SciLifeLab Data Centre and NBIS joint Data Management team.The goal of the events in this seminar series is to provide interesting interactive seminars around topics related to Research Data Management and Open Science in general\, and to foster discussions around best practices. \n\n\n\nResearch Data Management (RDM) concerns the organization\, storage\, preservation\, and sharing of data that is collected and analyzed during a research project. Proper planning and management of research data will make project management easier and more efficient while projects are being performed. It also facilitates sharing and allows others to validate as well as reuse the data.Open Science is a set of principles and practices that aim to make scientific research from all fields accessible to everyone for the benefits of scientists and society as a whole. Open science is about making sure not only that scientific knowledge is accessible but also that the production of that knowledge itself is inclusive\, equitable and sustainable. \n\n\n\nThe events are open to everyone working at or affiliated with a Swedish research institute or university. We welcome all researchers\, educational professionals\, staff\, RDM professionals\, and others with an interest in life sciences\, from all university levels. The events are informal and inclusive\, so feel welcome to join and participate in our interesting discussions! \n\n\n\nThe events will be recorded and published openly after the seminars on the SciLifeLab YouTube channel. The slides will be made available at our SciLifeLab Data Repository.More information about SciLifeLab Data Centre and NBIS joint Open Science seminar series: https://www.scilifelab.se/data/scilifelab-data-management-seminar-series/ \n\n\n\nIf you have suggestions for topics or presentations\, please contact us at data-management@scilifelab.seFor more information or inquiries\, please contact us at  data-management@scilifelab.se
URL:https://www.scilifelab.se/event/openscience-openrefine/
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2024/02/DC_seminar-series_background1-1.png
ORGANIZER;CN="Open Science Seminar Series":MAILTO:data-management@scilifelab.se
LOCATION:https://uu-se.zoom.us/j/66405928096
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