Why is this important? (Important Because)
From The Embassy of Good Science
A description to provide more focus to the theme/resource (max. 200 words)
- ⧼SA Foundation Data Type⧽: Text
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In an era of rapid scientific change and increasing complexity of research, integrity is essential for maintaining trust, quality, and fairness. The Path2Integrity platform addresses this need by educating upcoming researchers and practitioners on the ethical foundations of research, helping prevent misconduct and promoting accountability. By emphasising values such as honesty, respect and transparency, it fosters a culture that supports credible and reproducible science. Because research often influences society, policy and technology, equipping individuals with integrity training enhances societal benefit, mitigates risks of unethical practices, and strengthens the overall research ecosystem. +
In a scientific journal, the editor is responsible for the quality of published research. Of course, an editor cannot possibly know everything about all areas of research. They must, therefore, seek help from other experts to assess the quality of research. They rely on their knowledge and experience to identify possible weaknesses in research. '"`UNIQ--ref-0000000E-QINU`"' For authors, the peer review process provides thoughtful comments to help them improve their manuscript. Peer review is important in scientific publishing, but also in reviewing project proposals or, sometimes, conference abstracts.
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The article may be used as a case study in the context of research integrity training. +
In order to prevent miscommunications such as different expectations, a thorough document with clear agreements on the collaboration and responsibility of the PhD researcher and the supervisor is important. For example it prevents early fall out, and contributes to an uncomplicated doctoral process and qualitative scientific output. +
This case shows an example of how the research organisations could address research misconduct cases and how journals address these cases. +
It shows a case of misconduct against a high-profile politician. It also shows that researchers' early publications might be scrutinised later on. +
The researcher plagiarised text, plagiarised three figures showing results of an immunofluorescence assay, a phosphorimage, and northern blot analysis and falsified the data as results of experiments on Plasmodium bergheii, instead of P. falciparum as reported in a subproject of the PHS grant application. In addition, the researcher fabricated portions of an e-mail from his postdoctoral student that he presented to the HSPH inquiry committee purportedly to falsely implicate the student in the submission of the plagiarised materials for the grant application. +
The case discusses several possible instances of plagiarism:
1. Plagiarizing journal articles;2. Reproducing and taking credit for figures presented in another researcher's articles;3. Reproducing figures from a co-authored article;4. Plagiarizing PowerPoint presentations;5. Copy-and-pasting sections of a PhD thesis produced by another student.
It shows that plagiarism comes in different forms and does not just pertain to copy-and-pasting text. +
This glossary is important because a lack of consensus on what constitutes academic integrity and misconduct undermines efforts to prevent and address violations. Without shared definitions, institutions may interpret behaviors inconsistently, leading to unfairness, confusion, and weak enforcement. The glossary helps harmonize understanding across borders and disciplines, supporting fair and transparent integrity practices. By offering a common terminological basis, it aids educators, students, policy makers, and integrity offices in communication, training, and policy implementation. Over time, it can foster more consistent handling of misconduct and strengthen a culture of integrity in higher education and research. +
This policy brief is vital because it tackles the growing challenge of misinformation and declining public trust in science. By mapping and recommending effective communication strategies beyond simple fact-checking it helps build trust, transparency and societal engagement. It provides a practical blueprint for bridging science and society in times of urgent challenges (e.g. climate change, public health). Its recommendations can help institutions, communicators, and policymakers improve how scientific knowledge is conveyed, understood, and acted upon contributing to better-informed public debates and decisions. +
This policy brief is important because many organizations struggle to convert ethical AI principles into everyday practice. Regulations such as the EU AI Act specify legal obligations but often lack practical implementation guidance, particularly for smaller organizations with limited resources. AIOLIA provides tested methods, governance processes, and practical measures that help organizations develop trustworthy AI while reducing legal, reputational, and operational risks. The recommendations also encourage collaboration between policymakers, researchers, and industry to create consistent standards and evidence-based governance. This supports responsible AI innovation while protecting human rights, transparency, accountability, and public trust in AI systems. +
This policy brief is important because AI companions are becoming increasingly integrated into people's daily lives, offering emotional support, advice, and companionship. While these technologies provide significant benefits, they also introduce new ethical challenges that existing regulations do not adequately address. Long-term interactions can lead to emotional dependence, privacy risks, manipulation, and changes in user behavior that develop gradually rather than through isolated incidents. The brief provides practical recommendations for policymakers and AI developers to create safeguards that balance innovation with user protection. Its proposals help ensure that AI companions promote human well-being, preserve autonomy, and maintain trust in AI technologies as their use continues to expand. +
Some important topics addressed by the HRK recommendations are:
- Good scientific practices: https://www.hrk.de/resolutions-publications/resolutions/beschluss/detail/good-scientific-practice-at-german-higher-education-institutions/
- Stating affiliations in publications: https://www.hrk.de/resolutions-publications/resolutions/beschluss/detail/recommendation-on-guidelines-for-stating-affiliations-in-publications/
- Quality of doctoral education, including project initiation, selection, supervision: https://www.hrk.de/resolutions-publications/resolutions/beschluss/detail/key-points-on-quality-assurance-in-doctoral-education-with-an-external-employment-contract/
- External quality assurance: https://www.hrk.de/resolutions-publications/resolutions/beschluss/detail/common-guidelines-on-external-quality-assurance-at-universities/
- Examination procedures: https://www.hrk.de/resolutions-publications/resolutions/beschluss/detail/quality-assurance-in-doctoral-examination-procedures/
- Information competency in the digital age: https://www.hrk.de/resolutions-publications/resolutions/beschluss/detail/higher-education-institutions-in-a-digital-age-rethinking-information-competency-redirecting-proc/
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Policy on Ethics and Scientific Integrity distils national expectations for research integrity in France and clarifies what researchers and institutions in French need to do to comply. It reduces ambiguity, aligns local practice with international norms, and offers actionable steps that improve transparency, reproducibility, and equitable access. For policy leads, it is a benchmark;for authors and administrators, it is a practical checklist. Published by Agence Nationale de la Recherche in 2014, it is a credible reference to cite in institutional policies, training, and grant documentation. +
Policy statement on ensuring research integrity in Ireland (2020), National Research Integrity Forum +
Policy statement on ensuring research integrity in Ireland distils national expectations for research integrity in Ireland and clarifies what researchers and institutions in Ireland need to do to comply. It reduces ambiguity, aligns local practice with international norms, and offers actionable steps that improve transparency, reproducibility, and equitable access. For policy leads, it is a benchmark;for authors and administrators, it is a practical checklist. Published by National Research Integrity Forum in 2020, it is a credible reference to cite in institutional policies, training, and grant documentation. +
Ethical values, standards of research integrity and good practices in research highlight the ethical and social responsibility of scientists. Scientists must be aware of their particular responsibility to society and to the whole of humanity. +
Polish Ministry of Science and Information Society Technologies' Good Scientific Research Practice Recommendations +
This guideline emphasized the role of research institutions in fostering research integrity, since they are in a position to detect misconduct at an early stage. For institutions and administrators, it describes the extent of responsibilities towards researchers, especially early career researchers. +
Researchers operating in Poland have a responsibility to read and understand the code prior to embarking on research operations. More broadly, the code is applicable to individuals and institutions interested in 1) how to train others in practices and cultures of research integrity, 2) how to implement enforcement mechanisms and sanctions, both through restrictions to funding and through re-training of individuals. +
Both the mentors and the mentees need to be aware of what is expected in their collaboration and professional relationship. Research performing institutions should ensure that they devote more attention to training of both the mentees and mentors about what mentoring means and how to build it for successful outcome of research mentoring. +
Ensuring health data is FAIR is essential for better research, policy, and public health outcomes especially when synthesising data from different sources and countries. The guide helps researchers and data managers standardise how data and metadata are described so that others can reliably discover, combine, and reuse health data. By aligning powerful domain-specific models like OMOP CDM with widely accepted metadata standards such as Schema.org, it makes complex datasets understandable and usable outside specialised communities, including by AI tools. This increases the potential for cross-study analysis, global collaborations, and evidence-based decision-making in public health. Ultimately, it supports more consistent, transparent, and interoperable health data ecosystems. +
