Citetiquette
How to avoid plagiarism: Citation etiquette for engineering programs at the University of Ulm.
How to avoid plagiarism: Citation etiquette for engineering programs at the University of Ulm.
This collection of guidelines describes how to handle the intellectual property of others. It provides an overview of the most important, basic principles of avoiding plagiarism and the use of artificial intelligence tools. The authorship of scholarly and scientific texts, as well as software code, requires that the thought processes, methods, and theories of one author may be deployed by another author only if they are clearly designated as borrowed intellectual property. This also includes the use of technical tools to gather or generate such information. Please note that other disciplines (i.e. medicine, law, ...) might apply guidelines and handle plagiarism differently, but basic principles remain the same. Ask your supervisor about specific citing rules if you are unsure. In addition to this citation etiquette, it is important that you also respect additional aspects of scientific and scholarly integrity described elsewhere, such as FAIR data management [1], truthful and reproducible documentation of methods, and acknowledgement of facilitators. It is expected that your scholarly work is accompanied by a signed declaration of originality (see download section). We recommend using the citetiquette checklist in the download section to verify your work before signing the declaration of originality and/or submitting your work for evaluation or publication.
Transparency is key when it comes to borrowing intellectual property in your work. While it's acceptable to quote short passages from other works, it's crucial that the quote is easily identifiable and its source is cited. Adopting entire paragraphs or more without your own contribution is not good practice for an academic scholar.
Plagiarism is understood as the complete or partial imitation of the work of another author or yourself without adequately acknowledging that work’s source and author. It does not matter whether it was intentional or not. It must always be apparent to the reader which parts are your own independent work and where you have drawn on someone else’s ideas and intellectual property.
You may not:
In the context of student work and exams, apparent plagiarism will result in a grade of 5, indicating the module's failure.
In the context of scientific work, plagiarism will be prosecuted according to the guidelines of the University of Ulm [2] and the “Kodex of the Deutsche Forschungsgemeinschaft (DFG)” [3].
Citetiquette, English Version 1.5, 04.07.2024
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Declaration of Originality (LaTeX)
Declaration of Originality (pdf, doc, printable)
Example of filled Declaration of Originality
AI tools have become important technological helpers in scholarly works. Generative AI can facilitate writing, translating, coding, image generation, and much more. As the use of these tools is rather new, it leaves room for interpretation on how to handle AI-generated content. We recommend adopting the recommendations and guidelines of the Deutsche Forschungsgemeinschaft (DFG) [4] regarding the use and documentation of AI-enabled tools.
This means you need to declare whether you used AI tools, in particular generative AI, which tools (name, version), for which task (purpose), and to what extent (scope). It is essential to distinguish two use cases for reporting:
Never forget to discuss with your supervisor or advisor in advance which tools, purpose and scope you are allowed to use in your project.
The idea and large parts of this citetiquette originate from the citation etiquette by ETH Zurich which in turn has been adapted from ‘Notice on dealing with plagiarism’ issued on 30 April 2007 by the Teaching Committee of the University of Zurich. https://ethz.ch/content/dam/ethz/main/education/rechtliches-abschluesse/leistungskontrollen/plagiarism-citationetiquette.pdf (6.5.2024)
[1] FAIR data management https://www.go-fair.org/fair-principles/ (06.05.2024)
[2] www.uni-ulm.de/fileadmin/website_uni_ulm/forschung/satzung_vidw_2022.pdf (20.11.2023)
[3] DFG Code of Conduct „Guidelines for Safeguarding Good Research Practice“ Rev 1.1 April 2022: https://www.dfg.de/download/pdf/foerderung/rechtliche_rahmenbedingungen/gute_wissenschaftliche_praxis/kodex_gwp.pdf (20.11.2023)
[4] Stellungnahme des Präsidiums der Deutschen Forschungsgemeinschaft (DFG) zum Einfluss generativer Modelle für die Text- und Bilderstellung auf die Wissenschaften und das Förderhandeln der DFG – September 2023: https://www.dfg.de/resource/blob/289674/ff57cf46c5ca109cb18533b21fba49bd/230921-stellungnahme-praesidium-ki-ai-data.pdf (20.11.2023)
[5] Further info on plagiarism defined by INF and PSY: www.uni-ulm.de/in/fakultaet/fakultaet/fakultaet-organisation/pruefungsausschuesse/eb-cogsys/plagiarism/
[6] Further info on copyrights provided by KIZ (german): www.uni-ulm.de/en/einrichtungen/kiz/service-katalog/wid/publikationsmanagement/urheberrecht-richtig-zitieren/