Unterschiede

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--- de:fdm:veranstaltung:ext:start [2026/02/25 16:50] – ol1030
+++ de:fdm:veranstaltung:ext:start [2026/03/18 13:50] (aktuell) – [ELSA Webinar Series Research Ethics - "Ethics and data reuse – How researchers are considering data sharing in their research ethics proposals"] ol1030
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 ====== Veranstaltungen - Extern ======
- ===== How to get the best of AI tools in research  ======
+ ===== Ethics and data reuse – How researchers are considering data sharing in their research ethics proposals  ======
+Hiermit möchten wir auf die folgende Veranstaltung hinweisen:
-Dies ist ein Angebot von [[https://www.berd-nfdi.de/|BERD@NFDI]]:
-"Do you ever feel overwhelmed in selecting which AI tools could be useful to support you in your daily work?
+On Wednesday, the 25th of March, Maximilian Frank,  M.Sc., LMU Munich, will present “Ethics and data reuse – How researchers are considering data sharing in their research ethics proposals”.
-Following the strong demand for this online course last year, we are pleased to bring it back and invite you to 'How to Get the Best of AI Tools in Research,' held on March 3 & 10, 2026.
+As part of its efforts to promote the provision and sharing of research data in psychology, the DGPs (German Psychological Society) has developed an access-class concept for research data. For several years, this concept has also been used in ethics proposals submitted to the DGPs’ Central Ethics Committee. During the application process, researchers are required to provide information on data availability and reuse.
+This presentation outlines the experiences gained with this concept to date, describes its impact on researchers’ data-sharing behaviour, and highlights common mistakes when completing the relevant form. Finally, we will discuss the applicability and usefulness of this approach for other disciplines.
-Led by Melanie Clegg, the course introduces key AI tools - such as Large Language Models - and how to use them effectively throughout the research process. Topics include project planning, literature review, data analysis, communication, and ethical considerations.
-The course combines two live sessions with a hands-on exercise in between.
+No registration is required - just follow the link and check out the programme of the Webinar Series: [[https://www.nfdi.de/section-elsa/webinar-series-research-ethics/?lang=en]]
-Participation is free of charge. In return, we kindly ask all participants to support our evaluation process.
+Dies ist ein Angebot von [[https://www.berd-nfdi.de/|BERD@NFDI]]
-Please apply by January 31, 2026.
-More information and application: [[https://www.berd-nfdi.de/berd-academy/ai-tools-research-2026/]]"