A case study on the relationship between risk assessment of scientific research projects and related factors under the Naive Bayesian algorithm.

This paper delves into the nuanced dynamics influencing the outcomes of risk assessment (RA) in scientific research projects (SRPs), employing the Naive Bayes algorithm. The methodology involves the selection of diverse SRPs cases, gathering data encompassing project scale, budget investment, team experience, and other pertinent factors. The paper advances the application of the Naive Bayes algorithm by introducing enhancements, specifically integrating the Tree-augmented Naive Bayes (TANB) model. This augmentation serves to estimate risk probabilities for different research projects, shedding light on the intricate interplay and contributions of various factors to the RA process. The findings underscore the efficacy of the TANB algorithm, demonstrating commendable accuracy (average accuracy 89.2%) in RA for SRPs. Notably, budget investment (regression coefficient: 0.68, P < 0.05) and team experience (regression coefficient: 0.51, P < 0.05) emerge as significant determinants obviously influencing RA outcomes. Conversely, the impact of project size (regression coefficient: 0.31, P < 0.05) is relatively modest. This paper furnishes a concrete reference framework for project managers, facilitating informed decision-making in SRPs. By comprehensively analyzing the influence of various factors on RA, the paper not only contributes empirical insights to project decision-making but also elucidates the intricate relationships between different factors. The research advocates for heightened attention to budget investment and team experience when formulating risk management strategies. This strategic focus is posited to enhance the precision of RAs and the scientific foundation of decision-making processes.

Public involvement and public engagement: An example of convergent evolution? Findings from a conceptual qualitative review of patient and public involvement, and public engagement, in health and scientific research.

Objective: Patient and public involvement (PPI) in health research is now well-established, whilst science, technology, engineering and mathematics (STEM) research has shifted from a focus on science communication alone to public engagement (PE) within its research processes. Despite frequently drawing on similar theoretical influences, and practical motivations, there is often a lack of dialogue between such settings meaning shared learning, practice and evidence from these two sectors are rarely pooled. Methods: In this article, we examine findings from a conceptual review of literature gathered between 1996 and 2019. Results: Analyzing 142 peer-reviewed articles, we ascertain shared definitions and concepts in patient and public involvement and public engagement, identifying key differences and similarities. Conclusion: The literature we review supports the notion that, in terms of origins, there are two distinct traditions, one based in science communication and one based in what we describe as public involvement in shared decision-making. Innovation: We find evidence that the two traditions are converging but our work also calls for the need for further conversations between these two settings, which are exploring intersecting issues but from parallel pathways.

A method for managing scientific research project resource conflicts and predicting risks using BP neural networks.

This study begins by considering the resource-sharing characteristics of scientific research projects to address the issues of resource misalignment and conflict in scientific research project management. It comprehensively evaluates the tangible and intangible resources required during project execution and establishes a resource conflict risk index system. Subsequently, a resource conflict risk management model for scientific research projects is developed using Back Propagation (BP) neural networks. This model incorporates the Dropout regularization technique to enhance the generalization capacity of the BP neural network. Leveraging the BP neural network's non-linear fitting capabilities, it captures the intricate relationship between project resource demand and supply. Additionally, the model employs self-learning to continuously adapt to new scenarios based on historical data, enabling more precise resource conflict risk assessments. Finally, the model's performance is analyzed. The results reveal that risks in scientific research project management primarily fall into six categories: material, equipment, personnel, financial, time, and organizational factors. This study's model algorithm exhibits the highest accuracy in predicting time-related risks, achieving 97.21%, surpassing convolutional neural network algorithms. Furthermore, the Root Mean Squared Error of the model algorithm remains stable at approximately 0.03, regardless of the number of hidden layer neurons, demonstrating excellent fitting capabilities. The developed BP neural network risk prediction framework in this study, while not directly influencing resource utilization efficiency or mitigating resource conflicts, aims to offer robust data support for research project managers when making decisions on resource allocation. The framework provides valuable insights through sensitivity analysis of organizational risks and other factors, with their relative importance reaching up to 20%. Further research should focus on defining specific strategies for various risk factors to effectively enhance resource utilization efficiency and manage resource conflicts.

The Effect of Mindfulness on the Promotion of Graduate Students' Scientific Research Creativity: The Chain Mediating Role of Flow Experience and Creative Self-Efficacy.

Creativity is a universal core higher-order cognitive ability in the 21st century, which reflects a country's core competitiveness and soft power. Mindfulness, as an important concept in positive psychology, has also received attention for its potential effect on research creativity. Using structural equation modeling and bootstrap methods, this study investigated the relationship between mindfulness and research creativity among 1210 Chinese graduate students. Additionally, we explored the mediating effect of flow experience and creative self-efficacy in this relationship. The research results showed that mindfulness had a direct positive effect on graduate students' scientific research creativity. The mediating effect of flow experience and creative self-efficacy, as well as the chain mediating effect, were established, with the mediating ratio being 13.1% and 30.0%, respectively, and the indirect effect of chain mediating accounting for 34.1%. Interestingly, the effect mechanism at the gender level was various, with the mediating effect of mindfulness on scientific research creativity being higher among male graduate students. The results of this study revealed the mechanism of mindfulness on graduate students' scientific research creativity, offering valuable insights for enhancing their creative capabilities in the realm of scientific research.

Effectiveness of scientific research education programme on the attitudes of nursing students towards research methods course: a pre and post-implementation study.

BACKGROUND: Nursing research is the key to building an evidence-based practice for nursing. It is a necessity for nursing students to be professionals and to be encouraged to conduct research. AIMS: This research was conducted to determine the effectiveness of a scientific research education program on the attitudes of nursing students towards research methods. DESIGN: A single group pre and post implementation study. METHODS: The sample was composed of the third-year nursing students (n = 196). A questionnaire, and the Scientific-Research-Methods-Course-Attitude-Scale (SRMC-AS) were used for the data collection. The intervention consisted of theoretical education, group discussions, and research project writing practices lead by the researchers. RESULTS: The difference between mean scores of the SRMC-AS baseline measurement (85.18 ± 9.09), 3rd month (91.20 ± 7.59), and 6th month (90.68 ± 11.16) was statistically significant (p < 0.05). CONCLUSION: The scientific research education program was found effective about positively increasing the attitudes of the students towards the course.

Effective Manuscript Preparation and Submission.

Authors have a wide range of journals to which they can submit their report for consideration for publication. One key to getting the journal editors to accept a report is that the manuscript is properly organized and in compliance with the journal's Guide for Authors. For this reason, the single most important undertaking that an author can do before submission is read the journal's Guide for Authors and make sure that the report meets the journal's requirements for publication. If the subject matter is interesting and scientifically rigorous, then a well-written manuscript that complies with the journal's requirements will likely cruise through the peer review process and get accepted for publication. With this in mind, we now break down the elements of a report of original research and describe useful details that enhance the manuscript and leave little to revise.

Nanoparticles toxicity: an overview of its mechanism and plausible mitigation strategies.

Over the last decade, nanoparticles have found great interest among scientists and researchers working in various fields within the realm of biomedicine including drug delivery, gene delivery, diagnostics, targeted therapy and biomarker mapping. While their physical and chemical properties are impressive, there is growing concern about the toxicological potential of nanoparticles and possible adverse health effects as enhanced exposure of biological systems to nanoparticles may result in toxic effects leading to serious contraindications. Toxicity associated with nanoparticles (nanotoxicity) may include the undesired response of several physiological mechanisms including the distressing of cells by external and internal interaction with nanoparticles. However, comprehensive knowledge of nanotoxicity mechanisms and mitigation strategies may be useful to overcome the hazardous situation while treating diseases with therapeutic nanoparticles. With the same objectives, this review discusses various mechanisms of nanotoxicity and provides an overview of the current state of knowledge on the impact of nanotoxicity on biological control systems and organs including liver, brain, kidneys and lungs. An attempt also been made to present various approaches of scientific research and strategies that could be useful to overcome the effect of nanotoxicity during the development of nanoparticle-based systems including coating, doping, grafting, ligation and addition of antioxidants.

In Vitro Evaluation of Accuracy and Reliability of Tooth Shade Selection Using Different Digital Instruments.

Introduction Managing tooth shade is a significant challenge in aesthetic dentistry, especially for anterior restorations. Accurate shade assessment, combined with tailored treatment strategies and effective communication, is crucial. To improve the precision and reliability of aesthetic dental treatments, new shade-matching technologies have emerged. Current clinical methods for determining tooth shade utilize both visual assessments and instrumental techniques. The current study aimed to assess and compare the reliability and accuracy of four digital methods of tooth shade matching. Materials and methods This study utilized a 3D-printed resin upper arch model with tooth preparation done on tooth 11. An intraoral scanner was employed to scan and design the tooth, followed by the fabrication of 30 zirconia crowns using computer-aided design and computer-assisted manufacturing (CAD/CAM). The assessment of shade matching involved four digital photometric methodologies (group 1: twin flash + digital single-lens reflex (DSLR) camera (DT), group 2: ring flash + DSLR camera (DR), group 3: smartphone camera (SMART), group 4: intraoral scanner (IOS)) with Commission Internationale de l'Eclairage (CIEL*a*b*) values determined through Adobe Photoshop transformation. Accuracy (ΔE) was calculated and a specific shade using Vitablocs Mark II 3D-Master served as the standard. CIEL*a*b* data (where L = lightness, a and b = chromaticity coordinates) from four cohorts were analyzed in SPSS 26.0 for reliability, with intraclass correlation. The Kruskal-Wallis test and Spearman's correlation assessed reliability, while a one-sample t-test assessed accuracy, comparing values to clinical thresholds (p<0.05). Results The intraclass correlation revealed noteworthy variations in the L*, a*, and b* values, spanning from 0.730 to 0.994, 0.885 to 0.992, and 0.881 to 0.997, respectively. Intraoral scanners demonstrated high accuracy (ΔE = 5.8), while the SMART method showed the lowest precision (ΔE = 12.09). Twin flash with DSLR (TF+DSLR) and ring flash with DSLR (RF+DSLR) displayed comparable precision, with ΔE values of 10.90 and 10.97 respectively. Conclusion The smartphone exhibited the least precision, displaying notable discrepancies in all CIEL*a*b* metrics when compared to the manufacturer-specified shades. Conversely, the intraoral scanner demonstrated higher accuracy and reliability compared to the other groups, with no discernible variation in any of the CIEL*a*b* values from the manufacturer's standard.

Purpose definition as a crucial step for determining the legal basis under the GDPR: implications for scientific research.

The General Data Protection Regulation (GDPR) of the European Union, which became applicable in 2018, contains a new accountability principle. Under this principle, controllers (ie parties determining the purposes and the means of the processing of personal data) are responsible for ensuring and demonstrating the overall compliance with the GDPR. However, interpretive uncertainties of the GDPR mean that controllers must exercise considerable judgement in designing and implementing an appropriate compliance strategy, making GDPR compliance both complex and resource-intensive. In this article, we provide conceptual clarity around GDPR compliance with respect to one core aspect of the law: the determination and relevance of the purpose of personal data processing. We derive from the GDPR's text concrete requirements for purpose specification, which we subsequently apply to the area of secondary use of personal data for scientific research. We offer guidance for correctly specifying purposes of data processing under different research scenarios. To illustrate the practical necessity of purpose specification for GDPR compliance, we then show how our proposed approach can enable controllers to meet their compliance obligations, using the example of the overarching GDPR principle of lawfulness to highlight the relevance of purpose specification for the identification of a suitable legal basis.

Animal rights, animal research, and the need to reimagine science.

What would it look like for researchers to take non-human animal rights seriously? Recent discussions foster the impression that scientific practice needs to be reformed to make animal research ethical: just as there is ethically rigorous human research, so there can be ethically rigorous animal research. We argue that practically little existing animal research would be ethical and that ethical animal research is not scalable. Since animal research is integral to the existing scientific paradigm, taking animal rights seriously requires a radical, wholesale reimagining of science.Trial registration: ClinicalTrials.gov identifier: NCT05340426.

A low-cost cure for CUREs: An undergraduate microbiology course engaging students in authentic research using publicly available datasets.

Undergraduate research experiences are key to preparing STEM students for a range of careers and graduate programs, and to impacting retention in STEM. Providing undergraduate research experiences can be challenging for institutions due to the high cost associated with equipment and reagents, lab space, and research mentors. In this study, we present an upper-level microbiology seminar course that does not require these resources, as each student chooses and performs their own research project using data obtained from publicly available datasets. The faculty member provides hands-on instruction and regular feedback to mentor the cohort of students through all stages of their research projects, from honing a research question, to choosing a dataset, to data analysis and visualization. Students build science communication skills through each writing a scientific paper, and creating and presenting a scientific poster. These papers and presentations, along with results from student pre- and post-surveys, demonstrate that students built research and communication skills, while also building their confidence and interest in science careers. To access this research experience, students only need to register for this course; no application or selection is required, and no prior research experience is expected. The use of publicly available data makes this course a low-cost way to integrate authentic research projects into the college curriculum, and can be adapted to courses in any discipline. Such "low-cost CUREs" (course-based undergraduate research experiences) can be used to build capacity for undergraduate research experiences that are so crucial to preparing students for opportunities in and beyond college.

[Data processing in secure data processing environments using the example of MRI brain scans-a simultaneous plea for a legal provision for data processing for scientific research purposes]. / Datenverarbeitung in sicheren Verarbeitungsumgebungen am Beispiel von MRT-Gehirnscans ­ zugleich ein Plädoyer für eine rechtssichere Forschungsgrundlage.

The use of data for medical scientific research offers great potential for society as a whole, as the evaluation of large volumes of data with machine learning methods can result in new research approaches as well as new methods of diagnostics or treatment. However, the use of such data often fails due to high prerequisites or unclear requirements of data protection law.Processing of radiology data, such as MRI brain scans, is tied to specific risks for data subjects. This complicates the processing of such data for research purposes. Data trustees can help to reduce these risks through offering independent anonymization and pseudonymization services as well as secure processing environments in which health data is stored only for the time required for processing and analysis and is subsequently deleted.Thus, the use of data trustees can help to comply with data protection law, with risk-reduction being considered in favor of processing in decisions weighing the interests for and against data processing as necessary to comply with Art. 9 Para. 2 lit. j, Art. 89 Para 1 of the General Data Protection Regulation (GPDR) in conjunction with national law, or when assessing the compatibility of the secondary purpose of the processing with the purpose of collection. In this respect, the use of data trust models can contribute to the reduction of hurdles for the data processing of health data for scientific research purposes.

Trends in physical activity research for breast cancer - A bibliometric analysis of the past ten years.

Introduction: Cancer, particularly breast cancer, is a significant cause of death worldwide, and physical activity has been shown to reduce the risk of developing cancer and improve the prognosis of patients diagnosed with cancer. However, there is a lack of detailed analysis of publications related to physical activity in breast cancer patients, hindering the provision of strong evidence in this area. Materials and methods: The Core Collection database of Web of Science (WoS) was used as the source of the bibliography, with a search conducted on October 16, 2023. The search strategy used the terms "Physical Activity" and "Breast Cancer" or "Lymphedema," identifying articles published between 2012 and 2022. The bibliometric analysis focused on three dimensions, including scientific production and delivery, scientific collaboration, and bibliometric evaluation at the individual level. We performed the data analysis with Bibiometrix, an open-source tool integrated with R that allows a complete analysis of the behavior of the scientific literature. Results: A total of 979 publications related to physical activity o exercise in breast cancer (974 article, 1 data paper, 2 article early access y 2 proceedings paper), with an increasing trend in the number of articles published over the years. The most common research topics included "quality of life", "woman", "survivors", and the impact of physical activity on the risk of cancer recurrence. The United States was the most productive country in this area, and the Journal "Supportive Care in Cancer" was the most common journal to publish on this topic. Conclusion: This bibliometric analysis provides insight into publication trends and common research topics in the area of physical activity and breast cancer. The results can be beneficial in guiding future physical rehabilitation research inquiries and providing information to funding agencies on areas of greatest research opportunities.

Perfil e impacto dos bolsistas de produtividade em pesquisa do CNPq da Faculdade de Medicina da UFMG / Profile and impact of CNPq research productivity fellows at the Faculty of Medicine of UFMG

INTRODUÇÃO: Os programas de iniciação científica e pós-graduação são um instrumento essencial na formação de recursos humanos e na perpetuação da produção científica nacional. O papel dos professores pesquisadores no adequado desenvolvimento científico dos estudantes de graduação e pós-graduação tem sido continuamente reafirmado em diversas pesquisas sobre a qualidade do ensino superior brasileiro, apesar da contínua desvalorização das universidades públicas no país. Avaliar a carreira e o perfil dos bolsistas de produtividade em pesquisa pode fornecer elementos em relação ao impacto desses profissionais no ensino, na pesquisa e na internacionalização das universidades. OBJETIVO: Caracterizar o perfil profissional e a produção científica dos bolsistas do Programa de Produtividade em Pesquisa da Faculdade de Medicina da Universidade Federal de Minas Gerais. MÉTODOS: Estudo descritivo baseado na análise de dados públicos disponíveis na Plataforma Lattes. Os bolsistas de produtividade em pesquisa foram apurados com base nos resultados dos editais de 2013, 2016 e 2019. RESULTADOS: A análise das variáveis evidenciou diminuição do número de docentes bolsistas da instituição, que passou de 34 para 29. Observamos um número significativamente maior de projetos financiados por profissionais do sexo masculino quando comparados às pesquisadoras (p=0,03) e uma forte correlação entre os anos de doutorado e o número de doutores orientados que atualmente se dedicam à pesquisa. CONCLUSÃO: Professores pesquisadores exercem impacto direto na formação de recursos humanos qualificados e na formação de recursos humanos qualificados e na internacionalização das universidades públicas.

INTRODUCTION: Mentoring through scientific initiation and post-graduate programs are an essential instrument on the formation of human resources and the perpetuation of national scientific production. The role of research professors in the proper scientific development of graduate and post-graduate medical students has been continuously reaffirmed in several surveys on the quality of Brazilian superior education, despite the continuous desvalorization of higher education in the country. Determine the career and profile of research productivity fellows could measure the impact of these professionals in teaching, researching and internationalization of our university. OBJECTIVE: To characterize the professional profile and scientific production of the Productivity in Research Program fellows from the Faculty of Medicine of the Federal University of Minas Gerais. METHODS: This descriptive study is based on the analysis of public data available at Lattes Platform. Research productivity fellows were determined based on the results of the 2013, 2016 and 2019 calls for tenders. RESULTS: Analysis of the variables showed a decrease in the number of professors with scholarships at the institution, which went from 34 to 29. We observed a significantly higher number of funded projects of male professionals when compared to female researchers (p=0.03) and a strong correlation between years of doctorate degree and the number of mentored doctors currently dedicating to research. CONCLUSION: Experient research professors exert direct impact on the formation of qualified human resources and the internationalization of the federal university.

Comparisons of Quality, Correctness, and Similarity Between ChatGPT-Generated and Human-Written Abstracts for Basic Research: Cross-Sectional Study.

BACKGROUND: ChatGPT may act as a research assistant to help organize the direction of thinking and summarize research findings. However, few studies have examined the quality, similarity (abstracts being similar to the original one), and accuracy of the abstracts generated by ChatGPT when researchers provide full-text basic research papers. OBJECTIVE: We aimed to assess the applicability of an artificial intelligence (AI) model in generating abstracts for basic preclinical research. METHODS: We selected 30 basic research papers from Nature, Genome Biology, and Biological Psychiatry. Excluding abstracts, we inputted the full text into ChatPDF, an application of a language model based on ChatGPT, and we prompted it to generate abstracts with the same style as used in the original papers. A total of 8 experts were invited to evaluate the quality of these abstracts (based on a Likert scale of 0-10) and identify which abstracts were generated by ChatPDF, using a blind approach. These abstracts were also evaluated for their similarity to the original abstracts and the accuracy of the AI content. RESULTS: The quality of ChatGPT-generated abstracts was lower than that of the actual abstracts (10-point Likert scale: mean 4.72, SD 2.09 vs mean 8.09, SD 1.03; P<.001). The difference in quality was significant in the unstructured format (mean difference -4.33; 95% CI -4.79 to -3.86; P<.001) but minimal in the 4-subheading structured format (mean difference -2.33; 95% CI -2.79 to -1.86). Among the 30 ChatGPT-generated abstracts, 3 showed wrong conclusions, and 10 were identified as AI content. The mean percentage of similarity between the original and the generated abstracts was not high (2.10%-4.40%). The blinded reviewers achieved a 93% (224/240) accuracy rate in guessing which abstracts were written using ChatGPT. CONCLUSIONS: Using ChatGPT to generate a scientific abstract may not lead to issues of similarity when using real full texts written by humans. However, the quality of the ChatGPT-generated abstracts was suboptimal, and their accuracy was not 100%.

Pressupostos e Procedimentos da Investigação às Margens da Filosofia e da Psicanálise: Questões Acerca de Método / Presuppositions and the Procedures of Investigation on the Margins in Psychoanalysis and Philosophy: Questions About Method

Neste este artigo focalizamos a modalidade de relação que o pesquisador engendra com o seu campo de investigação ­ o campo das experiências humanas ­ a fim de delinear um pensamento que possa funcionar como horizonte dos procedimentos metodológicos utilizados nas pesquisas stricto sensu conduzidas em nosso grupo. Trata-se de pôr em questão o par sujeito-objeto, de modo a transpassar o realismo científico e os meros construtivimos. Trazemos para nossa argumentação um panorama genealógico da noção de sujeito para chegar ao deslocamento de sua posição perante os objetos produzido por Kant (1787/1974). Em solo kantiano ­ e permitindo-nos arriscar além dele ­ parece-nos legítimo semear a ideia de que as investigações por nós conduzidas, do recorte das experiências humanas considerado, podem ter como alvo a circunscrição da potência da coisa (do material, da exterioridade, do objeto, como quer que a designemos) de afetar o pesquisador. E, com certo atrevimento, apostamos na noção de campo transferencial como referência ao que precede e acompanha a captura e o registro da potência de afetar da coisa, esta necessariamente pertencente à esfera do não-antecipável, porquanto da ordem do acontecimento. Propomos como condição e consequência de nossa posição epistemológica a construção de cenas-acontecimento como forma de apresentação dos resultados da pesquisa.

In this article, we focus on the modality of relationship that the researcher establishes with their investigation field­the field of human experience­to delineate a thought that could serve as a horizon for the methodological procedures used in the stricto sensu research conducted by the group. It brings to question the subject-object pair in the way to transcend the scientific realism and the mere constructionism. We bring forth to our argumentation a genealogical panorama of the notion of the subject to reach the displacement of its position towards the objects produced by Kant (1787/1974). On Kantian soil­and allowing ourselves to venture beyond it­it seems legitimate to sow the idea that the investigations conducted by us may have as targets the circumscription of the potency of the thing (of the material, of the exteriority, of the object, however it is that we designate it) to affect the researcher. And, with a degree of boldness, we bet on the notion of transference field as reference to what precedes and follows the capture and registry of potency to affect the thing it necessarily belongs to the sphere of the unpredictable, whilst the order of the event. We propose, as condition and consequence of our epistemological position, the construction of event-scenes as a way of presenting the results of research.

Effect of Composition and Surface Microstructure in Self-Polarized Ferroelectric Polymer Films on the Magnitude of the Surface Potential.

The values of the surface potentials of two sides of films of polyvinylidene fluoride, and its copolymers with tetrafluoroethylene and hexafluoropropylene, were measured by the Kelvin probe method. The microstructures of the chains in the surfaces on these sides were evaluated by ATR IR spectroscopy. It was found that the observed surface potentials differed in the studied films. Simultaneously, it was observed from the IR spectroscopy data that the microstructures of the chains on both sides of the films also differed. It is concluded that the formation of the surface potential in (self-polarized) ferroelectric polymers is controlled by the microstructure of the surface layer. The reasons for the formation of a different microstructure on both sides of the films are suggested on the basis of the general regularities of structure formation in flexible-chain crystallizing polymers.

Favorable Attitudes Toward Research in Nursing Students During Internship: A Cross-Sectional Study in Peru.

Introduction and objective: Research attitudes among nursing students are essential to improve the quality of care and promote evidence-based practice. The objective of this study was to determine the attitude towards research of nursing students during their undergraduate internship and explore the demographic and study-related factors that may affect these attitudes. Materials and Methods: In this cross-sectional retrospective study, 100 nursing interns who are >18 years old, currently studying and working, and have a prior academic background were included. To assess the attitudes toward research, the 43-item Likert-like Scale of Attitudes Towards Research questionnaire was used, which has been previously validated in the Peruvian population and includes three distinct dimensions: affective, cognitive, and behavioral. Results: The mean age was 28.7 ± 5.2 years and 88% were women. Fifty percent had favorable attitudes toward research. The favorable attitude according to the affective, cognitive, and behavioral dimensions was 28%, 11%, and 45%, respectively. Although the youngest age group (20 to 30 years old) had the highest frequency of favorable attitudes (36%), no significant differences were found when compared to other age groups (p = .082). Conclusions: Nursing students presented favorable attitudes toward research during their undergraduate internship, especially among young students. However, more research is needed to understand how these attitudes are shaped and consolidated during the research process and how they can be further improved to promote evidence-based practice in nursing.

Open science and human genetic data: recommendations on South Africa's Draft National Open Science Policy.

The Draft National Open Science Policy, which was shared by the South African government with stakeholders in 2022, is an encouraging step forward as it aims to promote the practice of open science in South Africa through a system of incentives. Since South Africa is constitutionally committed to be an open and democratic society, this approach is preferable to the approach of state control that characterizes the Draft National Policy on Data and Cloud-another data-related policy initiative by the South African government. However, there is room for improvement in the Draft National Open Science Policy. In particular, it should: (a) rely on the right to freedom of scientific research to strengthen the policy; (b) rectify the omission of ownership from its policy analysis; and (c) retain a clear differentiation between human and non-human genetic data. This will ensure that the final policy is clearly anchored in the South African Constitution, and that the principle of "as open as possible, as closed as necessary" can be applied to human genetic data in a legally well informed and accountable way.