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DTSTART;TZID=Europe/Stockholm:20220405T080000
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DTSTAMP:20260404T050906
CREATED:20211202T132557Z
LAST-MODIFIED:20211202T132705Z
UID:60339-1649145600-1649350800@www.scilifelab.se
SUMMARY:Introduction to Data Management Practices
DESCRIPTION:National course open for PhD students\, postdocs\, researchers and other employees within all Swedish universities. This course will introduce important aspects of Research Data Management through a series of lectures and hands-on computer exercises. The course is intended for researchers that want to take the first steps towards a more systematic and reproducible approach to analysing and managing research data. \n\n\n\nNote: We follow the recommendations and guidelines from Swedish authorities and Folkhälsomyndigheten. The course is designed to be an interactive face-to-face event. However\, we follow the situation carefully and will deliver the course online if needed. \n\n\n\n\n\n\n\n\nCOURSE WEBSITE\n\n\n\nAPPLICATION\n\n\n\n\n\n\n\n\nContact: edu.intro-dm@nbis.se \n\n\n\nImportant dates\n\n\n\nApplication is open now \n\n\n\nApplication closes: 2022-03-15 \n\n\n\nConfirmation to accepted students: 2022-03-21 \n\n\n\nCourse fee\n\n\n\n1500 SEK paid by invoice to NBIS. This includes lunches\, coffee and snacks. Please note that NBIS cannot invoice individuals. \n\n\n\nDue to limited space the course can accommodate a maximum of 25 participants. If we receive more applications\, participants will be selected based on several criteria. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance. \n\n\n\nEntry requirements\n\n\n\nNo previous programming experience is required but you are required to bring your own laptop with the required software pre-installed. \n\n\n\nInstallation instructions will be provided before the course starts. \n\n\n\nCourse content\n\n\n\nTopics covered will include: \n\n\n\n  • Open Science and FAIR in practice \n\n\n\n  • Organising data\, files and folders in research projects \n\n\n\n  • Versioning data\, documents and scripts with Git \n\n\n\n  • Describing data with metadata \n\n\n\n  • Cleaning tabular data and metadata with OpenRefine \n\n\n\n  • Submitting data to public data repositories \n\n\n\n  • Writing basic recipes for data analysis and visualisation with R \n\n\n\n(Links to an external site.) \n\n\n\n\n\n\n\nLearning objectives: \n\n\n\n  • To get acquainted with\, and reflect upon\, the principles of Open \n\n\n\nScience and FAIR \n\n\n\n  • To understand the importance of metadata\, and how it affects \n\n\n\n“FAIRness” \n\n\n\n  • To learn how to organise files to make project work more efficient \n\n\n\n  • To learn to clean up messy tabular data and metadata \n\n\n\n  • To learn how to find\, and submit to\, relevant public repositories for \n\n\n\ndata publication \n\n\n\n  • To learn to apply simple version control practices on files \n\n\n\n  • To learn to start using R to analyse data
URL:https://www.scilifelab.se/event/introduction-to-data-management-practices-2/
LOCATION:Navet\, SciLifeLab Uppsala\, SciLifeLab Uppsala\, BMC C11\, Husargatan 3\, Uppsala\, 75237\, Sweden
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
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