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DTSTAMP:20250403T125834Z
CREATED:20250403
LAST-MODIFIED:20250626
PRIORITY:5
SEQUENCE:1
TRANSP:OPAQUE
SUMMARY:Collecting, Managing, Publishing Data – A Systematic Approach to Computational Social Sciences
DESCRIPTION:Computational Social Sciences (CSS) work with digital traces, complex datasets, and innovative analytical methods, ranging from social media data to network analysis.\n \nThis training offers a hands-on introduction to key questions concerning research data and how it can be made more sustainable, transparent, and reusable.The focus is on challenges specific to CSS, such as handling sensitive online data, data processing and publication, as well as concrete support services provided by the ULB Saxony-Anhalt — from guidance in drafting a data management plan to long-term data archiving.\n \nFor organizational reasons, we kindly ask you to register in advance.Please use the corresponding Stud.IP course to do so.\n \nIf you do not have access to Stud.IP, please register by email: learnit@bibliothek.uni-halle.de\n \nThe session will take place in person.\nThe room will be announced in due time.\n
URL:https://bibliothek.uni-halle.de/en/veranstaltungen-/computational-social-sciences-2/
CATEGORIES:For scientists,For students
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