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National cross-disciplinary research ethics and integrity study

Methodology and results from Estonia

Bibliographic Data

ID21787477
AuthorsKadri Simm (0000-0002-6691-779X, University of Tartu, corresponding author), Mari-Liisa Parder (0000-0002-7612-9797, University of Tartu), Anu Tammeleht (0000-0001-6467-2058, University of Tartu), Kadri Lees (University of Tartu)
Year2024
Volume20
Issue3
Pages514-538
Publication date2024-07-01
Open AccessYes
TypeARTICLE
VenueResearch Ethics (JOURNAL)
Journal identifiersISSN: 1747-0161 • E-ISSN: 2047-6094
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/17470161241239791
OpenAlexW4393023091
LanguageEN
References cited31

While empirical studies of research ethics and integrity are increasingly common, few have aimed at national scope, and even fewer at current results from Central and Eastern Europe. This article introduces the results of the first national research integrity survey in Estonia, which included all research-performing organisations in Estonia, was inclusive of all disciplines and all levels of experience. A web-based survey was developed and carried out in Estonia with a call sent to all accredited Estonian research institutions. The results indicate that the vast majority (89%) of respondents consider research ethics and integrity issues important and view falsification, fabrication, and plagiarism (FFPs) as the most severe forms of misconduct. Self-reporting of FFPs is generally comparable to levels published in other studies (6.2%). Gift authorship (41%) and hampering the work of a colleague (32%) were problematic practices most noticed among colleagues. At the same time, two of the noticed questionable research practices (QRPs) – salami-slicing and misuse of research funding – were seen as less severe, hinting at the existence of counter-norms that career advancement rules and structural factors like funding policies may encourage. The availability of research ethics and integrity guidelines was considered good. Ethical aspects of studying potentially stigmatising data in a very small research community are discussed in the article and results are analysed through counter-norms and normative dissonance frames

Cross disciplinary · Data science · Discipline · Engineering ethics · Political science · Research ethics · Research integrity · Social science · Sociology · Academic integrity and plagiarism · Computer Science · Engineering · Ethics in Business and Education

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