Project description:Nearly 90 % of allegations of biomedical research misconduct in the United States are dismissed by responsible institutions without any faculty assessment or auditable record. Recently, members of the U.S. Congress have complained that the penalties for those against whom findings of research misconduct are made are too light and that too few grant funds associated with research misconduct have been recovered for use by other researchers and taxpayers. Here we discuss the laws that empower federal agencies that can oversee investigations of biomedical research misconduct: the Office of Research Integrity (ORI) and the Office of the Inspector General (OIG), both located within the Department of Health and Human Services (HHS). Research misconduct investigations pertaining to U.S. physical sciences funded through the National Science Foundation (NSF) are overseen by the NSF's OIG. While OIGs may provide some improvement over the ORI in the handling of research misconduct, we have found that a much more serious flaw exists which undermines an ability to conduct performance audits of the effectiveness by which allegations of research misconduct are handled in the United States. Specifically, sufficient data do not need to be retained by U.S. research institutions funded by HHS or NSF to allow effective audit of why allegations of research misconduct are dismissed before being seen by faculty inquiry or investigative committees. U.S. federal Generally Accepted Government Auditing Standards (GAGAS/Yellow Book), if applied to the research misconduct oversight process, would allow a determination of whether the handling of allegations of biomedical research misconduct actually functions adequately, and if not, how it might be improved. In particular, we propose that independent, external peer review under GAGAS audit standards should be instituted without delay in assessing the performance of ORI, or any other similarly tasked federal agency, in handling allegations of research misconduct.
Project description:Research, collaboration, and knowledge exchange are critical to global efforts to tackle antimicrobial resistance (AMR). Different healthcare economies are faced with different challenges in implementing effective strategies to address AMR. Building effective capacity for research to inform AMR-related strategies and policies is recognised as an important contributor to success. Interdisciplinary, intersector, as well as international collaborations are needed to span global to local efforts to tackle AMR. The development of reciprocal, long-term partnerships between collaborators in high-income and in low- and middle-income countries (LMICs) needs to be built on principles of capacity building. Using case studies spanning local and international research collaborations to codesign, implement, and evaluate strategies to tackle AMR, we have evaluated and build upon the ESSENCE criteria for capacity building in LMICs. The first case study describes the local codesign and implementation of antimicrobial stewardship (AMS) in the state of Kerala in India. The second case study describes an international research collaboration investigating AMR surgical patient pathways in India, the UK, and South Africa. We describe the steps undertaken to develop robust, agile, and flexible AMS research and implementation teams. Notably, investing in capacity building ensured that the programmes described in these case studies were sustained through the current severe acute respiratory syndrome coronavirus pandemic. Describing the strategies adopted by a local and an international collaboration to tackle AMR, we provide a model for capacity building in LMICs that can support sustainable and agile AMS programmes.
Project description:BackgroundScientific misconduct is a prevalent phenomenon with many undesirable consequences. In Iran, no original research have been done about scientific fraud. So, this study aimed at describing a challenging research misconduct in Iran, its related causes, and the ways Iranian authorities deal with it.MethodsIn this cross-sectional study, through a two-year period, all the advertisements installed in the study sites were collected and the content analysis was performed. Semi-structured interviews were held with experts for discovering the causes of misconduct. Also, published issues were collected for review of the laws on confronting the fraud in Iran.ResultsThe content analysis resulted in identifying four categories of misconduct issues: advertising approach, types of services, outcome guarantee, and justifying the academic credit. Besides, reviewing the related literature indicated that Iranian government and the responsible authorities have recently established serious penalties for dealing with scientific misconduct through legislation.ConclusionsThis study revealed some misconduct in scientific activities which has persuaded the authorities to enforce strict rules to deal with it. The effectiveness of this legislation needs to be investigated in some further studies.
Project description:This study examines disparities in research retractions due to misconduct, identifying countries with the highest retraction counts and those disproportionately represented relative to population and publication output. The findings emphasize the need for improved research integrity measures.
Project description:BackgroundResearch on research integrity has tended to focus on frequency of research misconduct and factors that might induce someone to commit research misconduct. A definitive answer to the first question has been elusive, but it remains clear that any research misconduct is too much. Answers to the second question are so diverse, it might be productive to ask a different question: What about how research is done allows research misconduct to occur?MethodsWith that question in mind, research integrity officers (RIOs) of the 62 members of the American Association of Universities were invited to complete a brief survey about their most recent instance of a finding of research misconduct. Respondents were asked whether one or more good practices of research (e.g., openness and transparency, keeping good research records) were present in their case of research misconduct.ResultsTwenty-four (24) of the respondents (39% response rate) indicated they had dealt with at least one finding of research misconduct and answered the survey questions. Over half of these RIOs reported that their case of research misconduct had occurred in an environment in which at least nine of the ten listed good practices of research were deficient.ConclusionsThese results are not evidence for a causal effect of poor practices, but it is arguable that committing research misconduct would be more difficult if not impossible in research environments adhering to good practices of research.
Project description:Manuscript Title: Discovery of tissue-specific exons using comprehensive human exon microarrays We have designed a high-density oligonucleotide microarray with probesets for more than one million annotated and predicted exons in the human genome. Using these arrays and a simple algorithm that normalizes exon signal to signal from the gene as a whole, we have identified tissue-specific exons from a panel of 16 different normal adult tissues. Pair-wise comparisons between the tissues suggest that 75% of detected genes are differentially alternatively spliced. We also demonstrate how an inclusive exon microarray can be used to discover novel alternative splicing events. As examples, 15 new tissue-specific exons from 9 genes were validated by RT-PCR and sequencing. Keywords: exon analysis
Project description:Misconduct in academic research is undoubtedly increasing, but studies estimating the prevalence of such behaviour suffer from biases inherent in researching sensitive topics. We compared the unmatched-count technique (UCT) and the crosswise-model (CM), two methods specifically designed to increase honest reporting to sensitive questions, with direct questioning (DQ) for five types of misconduct in the biological sciences. UCT performed better than CM and either outperformed or produced similar estimates to DQ depending on the question. Estimates of academic misconduct increased with decreasing seriousness of the behaviour, from c. 0% for data fabrication to >68% for inappropriate co-authorship. Results show that research into even minor issues of misconduct, is sensitive, suggesting that future studies should consider using specialised questioning techniques as they are more likely to yield accurate figures.