BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Sabre//Sabre VObject 4.5.8//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Zurich X-LIC-LOCATION:Europe/Zurich TZURL:http://tzurl.org/zoneinfo/Europe/Zurich BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:19810329T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:19961027T030000 RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:news1156@ub-easyweb.ub.unibas.ch DTSTAMP;TZID=Europe/Zurich:20260213T143045 DTSTART;TZID=Europe/Zurich:20260421T090000 SUMMARY:Practical Strategies for Effective Research Data Management DESCRIPTION:Aims\\r\\nResearch data management (RDM) forms the cornerstone of academic success\, enabling scholars to efficiently store\, organize\, document\, and share research data. In today's data-driven world\, the abi lity to effectively manage and utilize data is crucial for innovation\, co llaboration\, and scholarly impact. International and Swiss research funde rs are committed to promoting open science\, making the publication of res earch data increasingly important for the research community.\\r\\nThe cou rse emphasizes the significance of RDM in scholarly pursuits and equips pa rticipants with essential skills for managing data throughout the research lifecycle and making their data accessible and reusable.\\r\\nA special f ocus will be on discussing examples and issues from the participants' own research projects. In addition\, the trainees will get to know the RDM exp erts at the University of Basel and will have the opportunity to learn dir ectly from them about the RDM infrastructures\, tools and services at our university.\\r\\nContent\\r\\nThe course covers the practical implications of research data management and provides an overview of regulatory framew orks and key principles such as Open Research Data and FAIR data. We will explore various topics along the life cycle of your research data\, such a s writing a data management plan\, storing\, organizing\, documenting\, pu blishing and reusing data. We will also look at data security and legal is sues such as data protection and intellectual property rights that are rel evant to RDM.\\r\\nTheoretical inputs will be mixed with many interactive exercises and discussions. During a meet and greet session\, several exper ts from the university’s RDM Network will present their services and ans wer the specific questions of the participants.\\r\\nWith its focus on man aging data\, the workshop is complementary to workshops on methods and too ls for analyzing data.\\r\\nCourse dates:\\r\\nTuesday\, April 21\, 2026\, 9.00-17:00Tuesday\, May 5\, 2026\, 9:00-17:00\\r\\nThis course is offered by the Graduate Center (GRACE) and organized in cooperation with the Rese arch Data Management Network. The course is part of GRACE's Transferable S kills course program. For more information and registration see: https://f ortbildung.unibas.ch/courses/topics/dissertation/practical-strategies-for- effective-research-data-management-302393 [https://fortbildung.unibas.ch/c ourses/topics/dissertation/practical-strategies-for-effective-research-dat a-management-302393].  X-ALT-DESC:

Aims

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Research data management (RDM) forms the corne rstone of academic success\, enabling scholars to efficiently store\, orga nize\, document\, and share research data. In today's data-driven world\, the ability to effectively manage and utilize data is crucial for innovati on\, collaboration\, and scholarly impact. International and Swiss researc h funders are committed to promoting open science\, making the publication of research data increasingly important for the research community.

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The course emphasizes the significance of RDM in scholarly pursuits and equips participants with essential skills for managing data throughout th e research lifecycle and making their data accessible and reusable.

\n< p>A special focus will be on discussing examples and issues from the parti cipants' own research projects. In addition\, the trainees will get to kno w the RDM experts at the University of Basel and will have the opportunity to learn directly from them about the RDM infrastructures\, tools and ser vices at our university.

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Content

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The course covers the p ractical implications of research data management and provides an overview of regulatory frameworks and key principles such as Open Research Data an d FAIR data. We will explore various topics along the life cycle of your r esearch data\, such as writing a data management plan\, storing\, organizi ng\, documenting\, publishing and reusing data. We will also look at data security and legal issues such as data protection and intellectual propert y rights that are relevant to RDM.

\n

Theoretical inputs will be mixe d with many interactive exercises and discussions. During a meet and greet session\, several experts from the university’s RDM Network will presen t their services and answer the specific questions of the participants.

\n

With its focus on managing data\, the workshop is complementary to w orkshops on methods and tools for analyzing data.

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Course dates:\n\n

This course is offered by the Graduate Center (GRACE) and organized in cooperation wit h the Research Data Management Network. The course is part of GRACE's Tran sferable Skills course program. For more information and registration see: https://fortbildung.unibas.ch/courses/topics/dissertation/practical-st rategies-for-effective-research-data-management-302393. \;

DTEND;TZID=Europe/Zurich:20260505T170000 END:VEVENT END:VCALENDAR