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DTSTART:20260329T030000
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UID:MEC-0bf1ace74c80d5a941676918831d37e9@bibliothek.uni-halle.de
DTSTART;TZID=Europe/Berlin:20240702T100000
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DTSTAMP:20240318T123151Z
CREATED:20240318
LAST-MODIFIED:20240417
PRIORITY:5
SEQUENCE:1
TRANSP:OPAQUE
SUMMARY:Science Tracking
DESCRIPTION:Internet use often leaves a data trail, which might be of great interest to website operators, for example to offer customized advertising. But what happens to the data that is generated when we search library catalogues and academic databases? In which way might publishers, for example, be interested in your searches?\n \nThese and further questions will be addressed in this course. There will also be tips on what can be done to prevent science tracking.\n \nMainly translated with DeepL.com (free version)\n \nFor organisational reasons, pre-registration is required. Please use the corresponding Stud.IP course ( https://studip.uni-halle.de/dispatch.php/course/details/index/c5db8edc0da580208fd7dbeea51cf652 ) for this purpose.\n \nIf you do not have a Stud.IP account, please pre-register per e-mail: learnit@bibliothek.uni-halle.de ( mailto:learnit@bibliothek.uni-halle.de )\n \nThe course is held online: https://mluconf.uni-halle.de/b/mir-olc-ym1-owx ( https://mluconf.uni-halle.de/b/mir-olc-ym1-owx )\n
URL:https://bibliothek.uni-halle.de/en/veranstaltungen-/science-tracking-2/
CATEGORIES:For all interested parties,For scientists,For students,Research
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