Research Career Research Articles

Assessment of the Psychometric Properties of the Hospital's Culture of Nursing Research Scale Among Nurses.

Background and Purpose: The "Hospital's Culture of Nursing Research Scale" (HCNRS) is a critical assessment tool in health care research. It was created in response to the rising acknowledgment of nursing research's critical role in improving patient care outcomes. This study aimed to develop the HCNRS to assess the nurses' perceptions of the hospital's culture of nursing research. Methods: This study utilized the instrument development design in developing the HCNRS. The study was conducted in Astana, Kazakhstan, from May to September 2023. The study followed three major stages of scale development: "item development," "scale development," and "scale evaluation." "Principal component analysis" (PCA; n = 387) and "confirmatory factor analysis" (CFA; n = 362) were performed in this study. Cronbach's coefficient α was computed for reliability. Results: The PCA on the 32-item HCNRS revealed five factors with an eigenvalue of above 1, contributing 66.0% of the model's total variance. The CFA revealed the following findings supporting the five subscales of the HCNRS-R: χ 2 /df = 2.65, root mean square error of approximation = .068 (90% CI [0.063, 0.072]), comparative fit index = 0.92, Tucker-Lewis index = 0.91, and standardized root mean square residual = .04. Based on the items that loaded in each factor, the subscales were labeled "Research Ethics, Integrity, and Supportive Culture," "Nursing Research Institutionalization," "Hospital's Financial Support and Incentives for Research Initiatives," "Nursing Research Engagement and Innovation," and "Nursing Research Integration and Career Support." The computed Cronbach's coefficient α of the entire scale was .963. For its subscales, the Cronbach's coefficient α ranged from .833 to .953. Conclusions: The study developed a five-factor HCNRS to evaluate the multifaceted aspects of nursing research culture in hospital settings. Health care institutions can utilize this scale to identify areas for improvement in research culture and implement strategies to foster research ethics, integrity, and innovation. This tool can also be used by hospital leaders, policymakers, and nurse researchers seeking to evaluate the research culture within their health care organizations.

A celebration and reflection on the equity trend between women and men in wildlife publishing

AbstractAn inequity persists between women and men in nearly all scientific fields. A clear indicator of this bias is the disparity between women and men in authorship of scientific papers, as publications are a critical part of a researcher's career. Our objective was to describe gender equity (sensu women, men) in wildlife‐related publishing in recent decades. We reviewed all research articles published in The Journal of Wildlife Management (JWM) from 1999 through 2020 and collected author names, affiliated institutions, and study species taxa from each paper. To help understand representation by gender in publishing, we classified the gender of each author using the online tool Genderize.io. We then calculated the women‐to‐men ratio in publishing as first‐ and co‐authors across time. We further investigated whether there were biases by country, institution, and taxon of study species. Our results revealed that authorships were dominated by men 22 years ago, with 14 and 12 women/100 men for first‐ and co‐authorships, respectively, in 1999. Since then, apart from year‐to‐year fluctuations, the overall gap between women and men gradually narrowed until the mid‐2010s, reaching approximately 60 and 30 women/100 men for first‐ and co‐authorship, respectively. The percentage of women increased across institutions, taxa, and countries during the study; however, the percentages of women associated with each institution type and most wildlife taxa were lower than the percentages of men. Although it is encouraging to see the improvement in equity in publishing since 1999, there are still substantially more men publishing than women, which indicates there is still a need to remedy known barriers and identify additional barriers that contribute to publication inequity.

Accessible scientific conferences for blind and low vision professionals and researchers: a necessary step for achieving STEMM equity

Scientific conferences and meetings are an integral part of careers in research, medicine, education, and many other professional arenas. Such meetings allow professionals and researchers to share their findings, support expansion of professional networks, enhance professional development, and foster new collaborations. However, barriers throughout the conference experience lead to the exclusion of experts with disabilities, deepening existing inequities in the STEMM (science, technology, engineering, mathematics, and medicine) workforce. This is especially problematic for STEMM experts with blindness or low vision, who remain significantly under-represented throughout the health and science ecosystem.

Doctoral rhythms within an EdD: the case of group supervision

ABSTRACT This paper explores the application and use of group supervision with doctoral candidates studying a professional doctorate, the EdD, at a teaching intensive university. Group supervision is applied as a pedagogical strategy during the module stage of the award with candidates who were advanced practitioners in their fields with several working at the Post’92 university in question. Group supervision is an emergent idea has not been well described in the literature either as a concept or a practice. This paper aims to contribute to understandings of group supervision and its potential value as a doctoral learning approach. Rhythmanalysis is used to explore students’ experiences of group supervision particularly the advantages for advanced professionals from education who are at an early stage in their research career. The paper highlights the importance of the exploration and production of ideas within the group supervision process such as the containing of anxiety, development of identities, grappling with theories and methodologies and the value of peer learning and mattering. Group supervision itself could also be described as a meta-supervision approach with the supervisor stepping in and out of the doctoral learning to articulate and justify what was happening in relation to future learning demands.

The Impact of Key Performance Indicators on Faculty Research in Higher Education

This study investigates the effectiveness of key performance indicators (KPIs) in evaluating the research contributions of academic staff in Uzbekistan, aiming to provide a nuanced understanding of faculty performance assessment. Employing a mixed-methods approach, the research integrates quantitative bibliometric analysis of publication data from 500 faculty members with qualitative interviews from 30 academics. The quantitative analysis focuses on metrics such as total publications, citation counts, and h-index scores, while the qualitative component explores faculty perceptions regarding the influence of KPIs on their research activities and career development. The analysis reveals significant variability in research productivity, with faculty averaging 12.4 publications and 110.2 citations. Econometric modeling indicates a strong positive correlation between publication metrics and citation impact, suggesting that higher publication output enhances academic visibility. Qualitative insights highlight the pressures of a "publish-or-perish" culture, which adversely affects research quality and faculty morale, particularly in contexts with limited institutional support. This research contributes to the discourse on academic performance evaluation by emphasizing the limitations of traditional metrics and advocating for a more holistic assessment framework. It highlights the need for higher education institutions to consider both quantitative and qualitative measures to better reflect the complexities of academic contributions in Uzbekistan.

Artificial Intelligence and Machine Learning in Dermatological Research and Healthcare: British Society for Investigative Dermatology Skin Club Report - Southampton April 2024.

The British Society for Investigative Dermatology champions the development of clinical trainees and early career researchers and convenes the UK skin research community at its annual meeting. It is the privilege of the meeting organiser (Dr. Chester Lai) to invite key opinion leaders to speak at the “Skin Club” section of the meeting, a forum for dialogue with this young audience on disruptive advances that stand to shape skin science. This year in Southampton, the topic “Artificial Intelligence and Machine Learning in Dermatological Research and Healthcare”, was selected.

A Worked Example of Qualitative Descriptive Design: A Step-by-Step Guide for Novice and Early Career Researchers.

To provide a worked example informed by relevant literature and related studies that novice and early career researchers may use to reflect on, prepare and conduct a thoughtful and rigorous qualitative descriptive study. Methodological discussion of qualitative descriptive design. Seminal work and recent related literature were reviewed to situate the discussion and identify the concepts and steps to conduct a qualitative descriptive study. Qualitative descriptive design is widely used in nursing and health science research. This design offers flexible use of qualitative methods, which presents a double-edged sword, posing challenges in preparing a well-developed study and achieving methodological rigour. The design often borrows methods from other qualitative traditions, which may need to be clarified for novice and early career researchers, wherein studies may be conducted using a mix and match of methods without giving justice to the heart of qualitative descriptive design. In this paper, we present a step-by-step guide, using a worked example, to demonstrate how to conduct a qualitative descriptive study. Qualitative descriptive design may be confusing due to its flexibility, which may limit the scope of research and subsequently, the quality and impact of the findings. With the appropriate application of research methods producing high-quality and relevant findings, qualitative descriptive design is a valuable qualitative method in its own right. Novice and early career researchers may increase the impact of their findings through rigorously conducting their studies. Clarifying steps for thoughtful execution may inform novice and early career researchers, allowing for a rigorous application of the method, which, in turn, may contribute to impactful findings. A clear presentation of steps, supported by a worked example and related studies, may support novice and early career researchers in conducting a qualitative descriptive study with methodological rigour. Not applicable. No patient or public contribution.

Pengaruh Analisis Jabatan dan Pengembangan Karir terhadap Kinerja Pegawai Melalui Kepuasan Kerja Pegawai Dinas Pengendalian Penduduk dan Keluarga Berencana (DPPKB) Kabupaten Tanjung Jabung Timur

This research aims to find out a description of job analysis, career development, job satisfaction and employee performance at the Population Control and Family Planning Service (DPPKB) of East Tanjung Jabung Regency as well as to find out and analyze the influence of job analysis and career development on employee performance through job satisfaction at the Control Service Population and Family Planning (DPPKB) East Tanjung Jabung Regency. This type of research uses descriptive verification research. This research uses the PLS analysis method. Based on the results of the questionnaire regarding job analysis, it is 2,876 in the quite good category. Then, the description of the career development variable shows that the career development of employees at the Population Control and Family Planning Service (DPPKB) of East Tanjung Jabung Regency is quite good with a score of 1653. Furthermore, the description of the job satisfaction variable shows that the job satisfaction score is 1849 in the quite high category. Meanwhile, the description of employee performance variables shows that the score is 2850 in the quite high category. Based on the research results, job analysis and career development have a positive and significant effect on job satisfaction, job analysis, career development and job satisfaction have a positive and significant effect on employee performance, position analysis and career development have a positive and significant effect on employee performance, mediated by job satisfaction in Tanjung East Jabung.

Use your power for good: Collective action to overcome institutional injustices impeding ethical science communication in the academy

Abstract Science communication (scicomm) shapes our world by helping people use science to make societal and personal decisions. Supporting and doing ethical scicomm requires valuing diverse perspectives and the people who do scicomm. Unfortunately, institutional hurdles ingrained in academia impede and undermine ethical scicomm. The injustices impeding scicomm stem from the prestige paradigm of academia (articulated in the present article), which reinforces hierarchical relationships in an exclusionary and exploitative system. To move academia forward, we name and review these injustices through the lens of five realms of scicomm (scientific communication, teaching scicomm, academics engaging in scicomm, scicomm research, and scicomm careers beyond academia). We then provide a novel framework, helping readers identify axes of influence and how they can leverage their intersectional, academic capital to take concrete action to remove the hurdles impeding ethical scicomm in academia.

The association between gender and industry payments to minimally invasive surgeons.

It is unknown if there are differential industry payments to surgeons based on gender. This study aims to examine differences by gender for industry relations with minimally invasive surgeons, using speakers at the SAGES Annual Meeting as a proxy for key thought leaders in minimally invasive surgery. We queried the Open Payments Database for payments made to US speakers from the 2023 SAGES meeting. All payments from the prior fiscal year prior were collected. The National Provider Identity (NPI) Registry was cross-referenced to determine surgeon's self-reported gender. Industry sponsors were analyzed based on differences in payments made. A total of 305 speakers were assessed, with 175 (57.4%) males and 130 (42.6%) females. Of the 305 speakers, 246 were listed in the OPD. There were 145/175 (82.8%) males who were received general payments, compared to 101/130 (77.6%) females (p = 0.326). The total amount of industry payments was $2,894,287 for males and $1,539,481 for females. Median payments were 2.8X higher for males ($4657, IQR $422-$15,798) than females ($1651, IQR $299-$9005) (p = 0.05). Despite efforts to decrease gender bias in surgery, there remains a significant and substantial difference in payments towards male and female surgeons via industry relationships. This has potential downstream effects on career development, consulting and research opportunities, and development of new devices.

The impact of generative AI on the scholarly communications of early career researchers: An international, multi‐disciplinary study

AbstractThe Harbingers study of early career researchers (ECRs), their work life and scholarly communications, began by studying generational—Millennial—change (c.2016), then moved to pandemic change (c.2020) and is now investigating another potential agent of change: artificial intelligence (2024–). We report here on a substantial scoping pilot study that looks at the impact of AI on the scholarly communications of international ECRs and, extends this to the arts and humanities. It aims to fill the knowledge gap concerning ECRs whose millennial mindset may render them especially open to change and, as the research workhorses they are, very much in the frontline. The data was collected via in‐depth interviews in China, Malaysia, Poland, Portugal, Spain and (selectively) the United Kingdom/United States. The data show ECRs to be thinking, probing and, in some cases, experimenting with AI. There was a general acceptance that AI will be responsible for the growth of low‐quality scientific papers, which could lead to a decline in the quality of research. Scholarly integrity and ethics were a big concern with issues of authenticity, plagiarism, copyright and poor citation practices raised. The most widespread belief was AI would prove to be a transformative force and would exacerbate existing scholarly disparities and inequalities.

Perspectives of an NCI T32 Training Program Designed to Train a Diverse Workforce in Cancer Health Equity Research.

With cancer health disparities on the rise in the United States (USA), there is an increased need for novel approaches to address these challenges. One such approach that may help address these disparities is increasing diversity in the biomedical research workforce. The Cancer Health Equity and Career Development Program (CHECDP) embodies this approach by recruiting and training underrepresented minorities in cancer research to develop the skills and training needed to be competitive for independent research careers, thus diversifying the biomedical research workforce. The training model that CHECDP employs is unique with its funding through the NCI training mechanism, its strong institutional support, and its participant-driven curriculum. The curriculum includes educational, career, and leadership opportunities that are continuously evaluated for sustained impact. The program has been comprised of mostly under-represented minorities that have been propelled to independent careers with a high rate of funded career development awards. Our T32 program serves as a model of success for other programs seeking to diversify the biomedical research workforce and reduce cancer health disparities.

Family medicine research in Kazakhstan: challenges, needs and support

Family medicine (FM), a relatively new speciality, has actively addressed the issue of research, despite the fact that, until recently, the majority of family doctors defined themselves in terms antithetical to research. Initial attempts in developing countries have typically concentrated on clinical care and teaching, with engagement in research being less common. The aim of the study is to investigate family the FM specialists’ perspectives on research engagement in Kazakhstan employing a mixed-methods research design with the collection of both quantitative and qualitative data. We surveyed 83 FM specialists to better understand the needs and barriers faced by this community in conducting research. Semi-structured interviews were conducted to obtain an in-depth picture of the issues. Understanding these issues is central to developing informed policies for promoting FM specialists’ research engagement, as well as taking steps to build their research capacity. The study resulted in important findings in understanding the specialists’ challenges in conducting research, and the needs and support provided to researchers in FM in Kazakhstan. The research barriers are a lack of time to conduct research, difficulty in publishing research, and a lack of cooperation between peers and research mentoring from experienced professionals. Specialists’ needs include specialized training programs and internships, a team of like-minded people and research partnerships, and access to patient databases and archived data. The specifically targeted policies should be undertaken to facilitate the specialists’ research careers by promoting research engagement, fostering research capacity, and recognizing FM as a specialty. Bangladesh Journal of Medical Science Vol. 23 No. 04 October’24 Page : 1197-1205

How has scientific performance of distinguished young scholars in China changed compared to their early careers?

PurposeThis paper aims to conduct a comparative analysis of the scientific performance of distinguished young scholars in China during the pre-award and early stages of their research careers, aiming to provide insights into their growth pattern.Design/methodology/approachSpearman correlation was used to analyse the correlation between various academic ages and awarding age of the distinguished young scholars. The Wilcoxon matched pairs test was used to analyse variations in their scientific performance across different research stages.FindingsThe findings showed that: a) early successful research experiences significantly impact their emergence as outstanding scientists. While a low correlation exists between publication ages and awards, perseverance proves crucial for later-stage academic achievements; b) productivity increases before awards, with notable variations between first-author and non-first-authored publications; c) collaboration intensifies before awards, particularly in non-first author roles. However, discipline-specific variations highlight the importance of smaller teams and first-author roles, especially in the early career stage; d) the correlation between collaboration and productivity depends on research roles, emphasizing the evolving nature of collaboration dynamics as scholars progress in their careers.Originality/valueThis study could offer a reference for formulating well-founded talent training programs and reward mechanisms.

Pressure to publish introduces large‐language model risks

Abstract Large‐language models (LLMs) have the potential to accelerate research in ecology and evolution, cultivating new insights and innovation. However, whilst revelling in the plethora of opportunities, researchers need to consider that LLM use could also introduce risks. An important piece of context underpinning this perspective is the pressure to publish, where research careers are defined, at least partly, by publication metrics like number of papers, impact factor, citations etc. Coupled with academic employment insecurity, especially during early career, researchers may reason that LLMs are a low‐risk and high‐reward tool for publication. However, this pressure to publish can introduce risks if LLMs are used as a shortcut to game publication metrics instead of a tool to support true innovation. These risks may ultimately reduce research quality, stifle researcher development and incur reputational damage for researchers and the entire scientific record. We conclude with a series of recommendations to mitigate the magnitude of these risks and encourage researchers to apply caution whilst maximising LLM potential.

Investigating Co‐Authorship Networks of Academic and Industry Researchers in Artificial Intelligence

ABSTRACTResearch teams from the industry, especially big technology companies, have been pushing impactful research work in the field of artificial intelligence (AI), changing the prospects of the field and the careers of many researchers. Research teams from big technology companies usually possess more data, bigger computing infrastructure, and research talent, granting them the advantages in advancing AI research. While most previous work focuses on investigating the advantages the industry has in the field of AI, and how their research publication is different from those published by academic teams, few research has been done to investigate whether working as an industry researcher is beneficial at the individual level. In this work, by analyzing co‐authorship networks of researchers published in AI conferences, we investigate whether working in the industry gives researchers advantages in “intangible” forms, such as social capital, represented by the collaborative relationships they gained or maintained. Our result shows that the many advantages industry researchers possess correlate with the social capital they have, measured by degree centrality, eigenvector centrality, betweenness centrality, and effective size.

Identifying Predictors of Successful Conversion from OREF Grants to Extramural Federal Funding Among Orthopaedic Surgeons

Background: Musculoskeletal diseases are a major contributor to global human disability, but research in this area of medicine contends with chronic underfunding in the United States, receiving <2% of the National Institutes of Health (NIH) budget. The Orthopaedic Research and Education Foundation (OREF) serves as a vital nongovernmental organization, providing essential support for orthopaedic research. This study investigated the translation of various OREF grants into successful extramural federal funding discerning the clinician demographics and OREF award characteristics associated with increased chances of securing federal grants. Methods: We included OREF data from 1994 to 2020, and federal funding from the NIH, the U.S. Department of Defense (DoD), the National Science Foundation (NSF), and the Agency of Healthcare Research and Quality (AHRQ) was queried using publicly available databases: the NIH RePORTER, the DoD Defense Technical Information Center, the NSF search engine, and the AHRQ search engine. Clinician demographics and training were collected from the American Academy of Orthopaedic Surgeons roster and institution departmental websites. The successful translation of OREF grants into federal awards was assessed based on clinician gender, training, and specialty, as well as OREF grant mechanisms and characteristics; multivariable logistic regression was used to determine the likelihood of federal translation based on these predictor variables. Results: Three hundred and forty-eight OREF grants were awarded to 319 different clinicians, 23.5% of whom successfully translated their award into a federal grant. Notably, recipients of the OREF Career Development Grant (CDG) demonstrated a 48.4% translation rate to federal funding. The federal return on investment for all of the OREF grants averaged 503%, translating approximately $34 million in OREF awards into >$200 million in federal funding. Logistic regression revealed that recipients who received CDG funding, as well as orthopaedic oncologists, were more than 3 times as likely to secure federal funding than those who received grants with other mechanisms and those in other subspecialties. Conclusions: OREF fills a vital role in supporting budding orthopaedic research careers, ensuring the field’s competitiveness for federal awards on a national scale. The success rates, particularly for CDG recipients, highlight OREF’s effectiveness in identifying promising surgeon-scientists.

Are early career researchers feeling the consequences of the COVID pandemic?

AbstractDuring the COVID pandemic, some commentators thought that early career researchers (ECRs) would become a ‘lost generation’. Yet the Harbingers (H‐2) longitudinal study, which followed ECRs for 2 years during the pandemic found that ECRs took things in their stride. More than 2 years on, we returned, as part of the AI stage of the Harbingers study (H‐3), to see what has transpired and interviewed nearly 70 ECRs from six countries as part of an exploratory study. We found that: (1) only one in six ECRS thought they were suffering from the residual impacts of the pandemic, with increased workload creating the greatest stress; (2) working remotely, digitally and more flexibly was thought by many to be the biggest dividend delivered, making the job more desirable and competitive; (3) an apparent growth in jobs and promotions (tenures) confirmed the bounce‐back. Given the modest size of the study, analysis by country has to be undertaken with caution, but China, where political and economic factors have stifled any bounce‐back, stands out for special attention in a future full‐blown study. Finally, the study yielded informed and considered views that the long‐term impact of the pandemic appears to be beneficial rather than disadvantageous.

Conference Report: Challenging Construction Grammar: New Insights from Morphology (8–12 April 2024; Monte Verità, Switzerland)

As reflected in its title, this workshop, which took place from the eighth to the twelfth of April 2024 at Monte Verità, Ascona, Switzerland, focused on constructional perspectives in their application to morphology (Hoffmann & Trousdale 2013). As Construction Grammar has become an important theoretical framework within linguistics, it has been applied in morphological studies from both synchronic (e.g., Booij 2010; Jackendoff & Audring 2020) and diachronic perspectives (Hartmann 2019; Van Goethem & Norde 2020). Nevertheless, Construction Morphology is a comparatively young branch of Construction Grammar that poses many open questions and challenges. The questions that were asked within this workshop relate to the connection between morphology and Construction Grammar as a framework, the handling of phenomena situated at the interface of morphology and syntax, and how phenomena that are specific for the scope of morphology can be captured from a constructional point of view. To address this issue, young and early career researchers were invited to present their current work. These contributions were complemented by the contributions of the invited plenary speakers Muriel Norde (Humboldt University of Berlin), Francesca Masini (University of Bologna), Livio Gaeta (University of Turin), Kristel Van Goethem (University of Louvain) and Steffen Höder (University of Kiel). The workshop was organised by Elena Smirnova (University of Neuchâtel), Martin Hilpert (University of Neuchâtel) and Jenny Audring (University of Leiden), and made possible with the generous support of SCF (Congressi Stefano Franscini, https://csf.ethz.ch), the SNF (Swiss National Science Foundation, Programm Scientific Exchanges, Grant Nr IZSEZ0_221843) and the FLSH (Faculty of Arts and Humanities) of the University of Neuchâtel.

Generative artificial intelligence usage by researchers at work: Effects of gender, career stage, type of workplace, and perceived barriers

The integration of generative artificial intelligence technology into research environments has become increasingly common in recent years, representing a significant shift in the way researchers approach their work. This paper seeks to explore the factors underlying the frequency of use of generative AI amongst researchers in their professional environments. As survey data may be influenced by a bias towards scientists interested in AI, potentially skewing the results towards the perspectives of these researchers, this study uses a regression model to isolate the impact of specific factors such as gender, career stage, type of workplace, and perceived barriers to using AI technology on the frequency of use of generative AI. It also controls for other relevant variables such as direct involvement in AI research or development, collaboration with AI companies, geographic location, and scientific discipline. Our results show that researchers who face barriers to AI adoption experience an 11 % increase in tool use, while those who cite insufficient training resources experience an 8 % decrease. Female researchers experience a 7 % decrease in AI tool usage compared to men, while advanced career researchers experience a significant 19 % decrease. Researchers associated with government advisory groups are 45 % more likely to use AI tools frequently than those in government roles. Researchers in for-profit companies show an increase of 19 %, while those in medical research institutions and hospitals show an increase of 16 % and 15 %, respectively. This paper contributes to a deeper understanding of the mechanisms driving the use of generative AI tools amongst researchers, with valuable implications for both academia and industry.