High-quality Research Outputs Research Articles

THE ROLE OF THE NATIONAL CONSORTIUM ORCID UKRAINE IN ADVANCING OPEN SCIENCE POLICY

This article explores the pivotal role played by the National Consortium ORCID Ukraine in effectively implementing the Open Science Policy within the Ukrainian research landscape. . The article delves into the strategies employed by the consortium to promote ORCID iDs (Open Researcher and Contributor IDs) and their integration into various research processes to enhance research transparency, streamline collaboration, and establish a robust foundation for open science practices. Emphasizing the significance of ORCID iDs in uniquely identifying researchers, the discussion also highlights their impact on reducing authorship ambiguity and ensuring accurate attribution of scholarly contributions. Furthermore, the article explores the broader implications of promoting open science in Ukraine, emphasizing the positive correlation between research transparency and economic development. It is shown that by facilitating a more transparent and collaborative research environment, the National Consortium ORCID Ukraine generates high-quality research outputs, fosters innovation, and attracts investment. The experiences and successes of the consortium in advocating for open science principles, along with the challenges encountered and lessons learned, are detailed. Particularly, it highlighted the challenges and the technical complexity associated with using the ORCID Affiliation Manager tool by Ukrainian research institutes and ensuring compatibility and seamless data transfer between the digital repository system DSpace and the editorial workflows of the publishing platform OJS. The article concludes by underscoring the critical role that initiatives like the National Consortium ORCID Ukraine play in shaping a research ecosystem that not only adheres to open science principles but also stimulates economic growth through knowledge dissemination and collaboration.

Challenges and Perspectives in Scientific Publication of Robotics as an Interdisciplinary Field of Study

Challenges and Perspectives in Scientific Publication of Robotics as an Interdisciplinary Field of Study

Challenges Associated with Research Management and Administration in Universities

Higher education institutions (HEI) face several obstacles because of the digital revolution that must be solved for them to play a more and bigger part in innovation ecosystems and economies. Therefore, HEIs and policymakers are always in need of a research administrative structure that is mainly favorable and creates an atmosphere where researchers can generate high-quality research outputs. This study aims to outline the problems that university research management and administration face when trying to promote research, innovation, and commercialization. There will be a study of the existing literature to propose a theory (The Triple Helix Model) that is relevant to this study. The study followed a scoping review of literature that is relevant to the subject matter. Practical answers to the questions will then be used in this framework. According to the research cited in this article, HEIs must set up strategic structures and activities to advise policymakers on how to frame robust support systems for research, innovation, and commercialization.

Why and When Statistics is Required, and How to Simplify Choosing Appropriate Statistical Techniques During Ph.D. Program in India?

Purpose: The purpose of this article is to explain the key reasons for the existence of statistics in doctoral-level research, why and when statistical techniques are to be used, how to statistically describe the units of analysis/samples, how to statistically describe the data collected from units of analysis/samples; how to statistically discover the relationship between variables of the research question; a step-by-step process of statistical significance/hypothesis test, tricks for selecting an appropriate statistical significance test, and most importantly which is the most user-friendly and free software for carrying out statistical analyses. In turn, guiding Ph.D. scholars to choose appropriate statistical techniques across various stages of the doctoral-level research process to ensure a high-quality research output. Design/Methodology/Approach: Postmodernism philosophical paradigm; Inductive research approach; Observation data collection method; Longitudinal data collection time frame; Qualitative data analysis. Findings/Result: As long as the Ph.D. scholars can understand i) they need NOT be an expert in Mathematics/Statistics and it is easy to learn statistics during Ph.D.; ii) the difference between measures of central tendency and dispersion; iii) the difference between association, correlation, and causation; iv) difference between null and research/alternate hypotheses; v) difference between Type I and Type II errors; vi) key drivers for choosing a statistical significance test; vi) which is the best software for carrying out statistical analyses. Scholars will be able to (on their own) choose appropriate statistical techniques across various steps of the doctoral-level research process and comfortably claim their research findings. Originality/Value: There is a vast literature about statistics, probability theory, measures of central tendency and dispersion, formulas for finding the relationship between variables, and statistical significance tests. However, only a few have explained them together comprehensively which is conceivable to Ph.D. scholars. In this article, we have attempted to explain the reasons for the existence, objectives, purposes, and essence of ‘Statistics’ briefly and comprehensively with simple examples and tricks that would eradicate fear among Ph.D. scholars about ‘Statistics’. Paper Type: Conceptual.

The Texas Health Resources Clinical Scholars Program: Learning healthcare system workforce development through embedded translational research.

IntroductionTexas Health Resources (THR), a large, nonprofit health care system based in the Dallas‐Fort Worth area, has collaborated with the University of Texas Southwestern Medical Center (UTSW) to develop and operate a unique, integrated approach for Learning Health System (LHS) workforce development. This training model centers on academic health system faculty members conducting later‐stage translational research within a partnering regional care delivery organization.MethodsThe THR Clinical Scholars Program engages early career UTSW faculty members to conduct studies that are likely to have an impact on care delivery at the health system level. Interested candidates submit formal applications to the program. A joint committee comprised of senior research faculty from UTSW and THR clinical leadership reviews proposals with a focus on the shared LHS needs of both institutions—developing high quality research output that can be applied to enhance care delivery. A key prioritization criterion for funding is the degree to which the research addresses a question relevant to THR as a high‐volume network with multiple channels for consumers to access care. The program emphasis is on supporting embedded research initiatives using health system data to generate knowledge that will improve the quality and efficiency of care for the patient populations served by the participant organizations.ResultsWe discuss specific strategic and tactical components of the THR Clinical Scholars Program including an overview of the academic affiliation agreement between the collaborating organizations, criteria for successful program applications, data sharing, and funding. We also share project summaries from selected clinical scholars as examples of the LHS research done in the program to date.ConclusionThis experience report provides an implementation framework for other academic health systems interested in adopting similar LHS workforce training models with community partners.

Association between Burnout, Job Dissatisfaction and Intention to Leave among Medical Researchers in a Research Organisation in Malaysia during the COVID-19 Pandemic.

Employee turnover could affect the organisation’s performance. Job dissatisfaction and burnout have been identified as factors influencing the intention to leave. Thus, this study aimed to determine the level of intent to leave, and predictors associated with intention to leave among medical researchers in Malaysia. A cross-sectional, stratified random sampling study was conducted among researchers in a research organisation under the Ministry of Health. Respondents answered an online questionnaire that included sociodemographic information, job dissatisfaction, burnout, and intention to leave. A total of 133 researchers participated. More than one-third (41.4%) of the researchers had a moderate and high level of intention to leave. Burnout and job dissatisfaction were identified as significant predictors. Burnout was noted to have a positive relationship with the intent to leave (β = 0.289, 95% CI (B): 0.287, 1.096). Meanwhile, job satisfaction was found to have a negative relationship with the intention to leave (β = −0.348, 95% CI (B): −0.768, −0.273). Burnout among researchers is quite worrisome as more than two-thirds of the researchers experienced moderate to high burnout. Reducing burnout and job dissatisfaction would increase work performance and produce high-quality research output, hence decreasing the turnover rate.

Developing a Catalysis Applied Research Community at a University of Applied Sciences: From Educational Setting to High-Quality Research Output

In this report we present a method to incorporate applied catalysis research into the multiyear educational undergraduate program of Chemical Engineering at the Rotterdam University of Applied Sciences (UAS). In this way the total student population is introduced to research and thereby contributes to the scientific output of the department, and more students can potentially be encouraged to follow a research career. We discuss the challenges of performing high-level research at a UAS in comparison to dedicated research universities and possible opportunities to make high-level applied research work. The time available to conduct research is a challenge. However, by introducing the research into educational programs the issue of time can be relieved. From our experience, the key factor to gain high-level scientific research output is to let well trained research-lecturers work closely with students in scaffolded projects as has been shown by the publication of several papers in peer reviewed scientific international journals. We also highlight two research projects on carbohydrate catalysis for the production of high-value chemicals and improving the efficiency of selective catalytic reduction systems.

High quality research output primarily needs passion rather than fashion or compulsion or high capital

High quality research output primarily needs passion rather than fashion or compulsion or high capital

P78 MedEd Collaborative: a new research collaborative to promote medical education research

IntroductionIn response to the disruption to medical education caused by COVID-19, there is a need for wide-scale robust medical education research and the generation of research capacity for the future. Trainee research collaboratives have demonstrated they can nurture the research skills of students and trainees while delivering high quality research outputs. However, we have been unable to identify a permanent medical education research collaborative for trainees and students.MethodsWe started the MedEd Collaborative in September 2020 to fill this gap, consisting of a trainee- and student-led medical education research collaborative supported by senior medical education experts and clinicians.ResultsOur vision is to increase engagement of students and trainees in high-quality medical education research that informs practice. The MedEd Collaborative will engage students and trainees in medical education research by completing at least one national multicentre study per year, the first being the COVID Ready 2 study. This is a national cross-sectional survey of the educational impact of medical student volunteering during the COVID-19 pandemic.ConclusionsWe anticipate the MedEd collaborative will: increase exposure to medical education research, thereby increasing the number of medical students and trainees aiming to pursue an academic medical education career; provide training in medical education research methodologies, such as qualitative analysis; improve the quality of medical education research outputs from students and trainees; encourage collaboration between medical schools and deaneries; and provide support to other trainee research collaboratives that aim to explore education research in their own specialties.

A Survey of State-of-the-Art on Blockchains

To draw a roadmap of current research activities of the blockchain community, we first conduct a brief overview of state-of-the-art blockchain surveys published in the past 5 years. We found that those surveys are basically studying the blockchain-based applications, such as blockchain-assisted Internet of Things (IoT), business applications, security-enabled solutions, and many other applications in diverse fields. However, we think that a comprehensive survey toward the essentials of blockchains by exploiting the state-of-the-art theoretical modelings, analytic models, and useful experiment tools is still missing. To fill this gap, we perform a thorough survey by identifying and classifying the most recent high-quality research outputs that are closely related to the theoretical findings and essential mechanisms of blockchain systems and networks. Several promising open issues are also summarized for future research directions. We hope this survey can serve as a useful guideline for researchers, engineers, and educators about the cutting-edge development of blockchains in the perspectives of theories, modelings, and tools.

ONLINE DATA COLLECTION AS ADAPTATION IN CONDUCTING QUANTITATIVE AND QUALITATIVE RESEARCH DURING THE COVID-19 PANDEMIC

This study was conducted to identify online data collection methodologies as an adaptation in the conduct of quantitative and qualitative research amidst the COVID-19 pandemic. While data collection has been hampered by the restrictions posed by the quarantine measures of the local governments around the globe, researchers need to strategize and adapt remote tools in data collection. Analyzing from the responses of 25 highly engaged researchers who served as participants of this study through videoconferencing, it was found out that data collection for quantitative research may be conducted by using online development tools via personal or institutional subscriptions, using google forms as a free and conventional platform, and by using QR Code to generate the electronic survey questionnaire. On the other hand, the data collection for qualitative research may be conducted by using diaries and reflections of participants to replace the typical direct observation, using telephone or mobile phone to conduct an interview, and by using video-conferencing for key informant interview and focus group discussion. Considering the practicality and feasibility of these data collection methods, researchers cannot be constrained by the quarantine and health protocols in pursuing reliable, honest, and high-quality research outputs.
 
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Creating a “Nalanda” for the New Millennia

Higher education is all about people and management. The success of the higher educational institutions revolves largely around the quality of the research and the faculty. This emphasizes the need of a strong financial base to deliver a quality education to students. In the present scenario, which is characterized by intense information flow, dynamism, progress, growth, and continuous challenging environment, the higher educational institutions hold an important place. The present study focuses on exploring the relationship between human capital management and human resource development (HRD) climate. For the research purpose, two universities, University of Jammu and University of Kashmir, have been taken. The model derived by applying a confirmatory factor analysis in the present research study depicts a linkage between human capital management and HRD climate, and if applied in the institutions of higher education by customizing according to their needs and requirements, it would help in attaining the vision as perceived by Federation of Indian Chambers of Commerce and Industry for 2030 in attaining overall excellence in higher education sector in India. So, it is very important to develop research focused universities with community participation which could deliver high quality research output and research focused graduates and lead to creating a NALANDA for the new millennia.

The Dynamic Deprivation Index: measuring relative socio-economic deprivation in NZ on a monthly basis

ABSTRACTThe standard measures of relative socio-economic deprivation within New Zealand are the NZDEP studies and the NZ IMD. Although both sets of studies are extremely rigorous, high quality research outputs they are only able to provide a snapshot of the national distribution of relative socio-economic deprivation at fixed points in time. The inability to express deprivation levels as an extended and current time series means that not only are policy analysts and researchers working with outdated information, but also that it is often unfeasible to associate changes in deprivation levels to specific events or policy implementations. The Dynamic Deprivation Index (DDI) assigns a deprivation score and deprivation index to each area unit in New Zealand on a monthly basis. In this paper we look to describe the methodology behind the construction of the DDI and to validate the results therein. We argue that if public bodies were to make the data they hold more easily accessible, then there is no reason why New Zealand should not be able to benefit from a measure of socio-economic deprivation that combines the sophistication of the NZDEP studies or IMD with the contemporaneousness of the DDI.

Building Cross-Institutional Collaborative Infrastructure and Processes: Early Lessons From the Chicago Cancer Health Equity Collaborative.

Addressing cancer health disparities requires a multitiered, comprehensive approach. The Chicago Cancer Health Equity Collaborative (ChicagoCHEC) was established as a tri-institutional partnership to advance cancer health equity through scientific discovery, education, and community engagement. Large-scale partnerships rarely document the challenges encountered when establishing processes and operations in the formative years of engagement. We outline selected lessons learned from the first three years of ChicagoCHEC in hopes that future collaborations may be better poised to hit the ground running and create the needed infrastructure for a strong, effective, and sustainable partnership. Unifying a diverse group of stakeholders under a shared mission is imperative. A shared governance structure, in which all individuals understand the aims of partnership and can facilitate progress, is crucial for success. Ongoing monitoring of collaborative processes should occur and attention should be given to the optimization of communications. Large-scale collaborative research and education projects across institutions can be challenging, particularly when establishing a working infrastructure and aligning priorities. However, the benefit of establishing key processes in the early years of the collaborative process can lead to high-quality research output, impact, and a sustainable partnership.

Research Collaborations and Quality in Research: Foes or Friends?

Collaboration is the cornerstone of nowadays research. Successful collaborative research and high research quality go hand in hand. Collaborative research needs to build on common and upfront expectations for the quality of its outputs. This is necessary to enable a trustful research environment where all are committed to contribute and can share the rewards. A governance and leadership are critical for this to happen as well as a policy for openness and for effective data sharing. Collaborative research is often large-scale research: to be successful it needs good research practice as an enabler. Collaborative projects are ideal vehicles to promote high research quality, among other by enabling the delivery of results of high external validity and the development and implementation of standards. Robustness of results increases when confirmed by combining different methods and tools and even more when results are obtained while sharing and learning different approaches and languages of science. When doing collaborative research, there is the best opportunity to combine the different experience and expertise of all partners by design to create a more efficient and effective environment conductive for high-quality research. Using as example the public-private partnership type of projects created by the Innovative Medicines Initiative, the chapter covers the key aspects of the complex relationship between collaborative research and quality of research providing insights on the critical factors for delivering both a successful collaboration in research and robust high-quality research outputs.

Insights Into University Knowledge Transfer in the Social Sciences and Humanities (SSH) and Other Scientific Disciplines – More Similarities Than Differences

Knowledge transfer from universities to other portions of society is highly relevant in both academia and public policy. However, the focus on high-quality research outputs has forced researchers to concentrate their efforts mainly on ‘science-to-science’ achievements. Knowledge transfer activities are usually reduced to topics that are associated with university-industry collaboration or the exploitation of research results, such as procurement of patents. Achievements in fields characterized by ‘science-to-professionals’ and ‘science-to-public’ knowledge transfer are often not appreciated, but rather evaluated as extraordinary and voluntary contributions. Therefore, these are deemed as not beneficial for progression in academic careers. Furthermore, study of such aspects of knowledge transfer has rarely been conducted. While the reduction of knowledge transfer to profit-oriented indicators should in general be questioned, such an objective is particularly inappropriate in the social sciences and humanities (SSH). In the current study, we explored whether researchers themselves have a differentiated understanding of knowledge transfer and which attitudes towards knowledge transfer can be described. We also investigated motivators and obstacles associated with knowledge transfer itself. To analyze differences between the SSH and other scientific disciplines, we compared SSH researchers with those of other fields. Our sample consisted of 283 participants from 18 different Austrian universities. Results indicate that researchers possess a comprehensive understanding of knowledge transfer that is closely related to science-to-public and science-to-professionals disciplines, as well as university instruction. Importantly, issues regarding the exploitation of research results were questioned and motivators were linked to moral rather than economic issues. Within the scientific community, knowledge transfer is insufficiently appreciated and is not beneficial for progress in an academic career. As such, researchers are hindered in participating in knowledge transfer activities. Differences between SSH and non-SSH researchers were noted in several evaluated categories, but were mainly small in effect size. Both subsamples answered consistently along the same trend, indicating that the differences are smaller than we hypothesized. Our findings are critically discussed, and implications are extrapolated.

The sustainability efforts of Ton Duc Thang University in the South of Vietnam

Established in 1997, Ton Duc Thang University (TDTU) is now among the best universities in Vietnam for all aspects, after 20 years of development. With sixteen faculties of multi-disciplines and around 25,000 students, TDTU has made lots of achievements. In 2017, TDTU is ranked 245th in the world (and ranked 1st in Vietnam) on Sustainable Development by UI GreenMetric World University Rankings (UI GreenMetric); ranked 1st among universities in Vietnam for high-quality research outputs by Nature Index; ranked 2nd among universities in Vietnam (and ranked 1st in research category) by Xephangdaihoc, a group of independent experts of Vietnam. Sustainability is of TDTU’s focus. This paper shortly discussed TDTU’s latest achievements on sustainability, and then focused on issues and innovation in managing waste at Ton Duc Thang University.

Bibliometric analysis of fuzzy theory research in China: A 30-year perspective

The past half-century has witnessed fast development in the field of fuzzy theory (FT), however, few researches have focused on mapping the development of this area in China. Based on the samples of 12,936 publications authored by Chinese scholars on FT researches during the past 30 years, this paper intends to explore the patterns and dynamics by analyzing the geographic distribution of publications, international collaboration, research hot spot, subject categories and journals, and publication contributors. The results indicate that the scientific publications are highly unbalanced at regional levels in China, and the USA is China's most important partner in FT cooperative researches. Collaborations are not indispensable for high-quality research outputs in FT area. The existing researches in the field of FT from Chinese scholars focus primarily on Computer Science and Engineering. The emerging trends of FT researches from Chinese scholars have shifted away from basic FT researches to the applications, such as the areas of decision making, optimization, modeling and design.

Research Advances in Molecular Modeling in Cyclodextrins

Cyclodextrins (CDs), as one type of the novel pharmaceutical excipients, have been widely used in drug delivery and pharmaceutical industry. Over the past decades, a large amount of molecular modeling studies in CDs were reported for profound understanding of structural, dynamic and energetic features of CDs systems. Thus, this review is focused on qualitative and quantitative analysis of research outputs on molecular modeling in CDs. The original data were collected from Web of Science and analyzed by scientific knowledge mapping tools, including Citespace, Science of Science, VOSviewer, GPSvisualizer and Gephi software. Scientific knowledge mapping, as an emerging approach for literature analysis, was employed to identify the knowledge structure and capture the development of the science in a visual way. The results of analysis included research outputs landscape, collaboration patterns, knowledge structure and research frontiers shift with time. China had the largest contributions to the publication number in this area, while USA dominated the high quality research outputs. International collaboration between USA and Europe was much stronger than that within Asia. J American Chemical Society, as one of the most important journals, played a pivotal role in linking different research fields. Furthermore, seven important thematic clusters were identified by the research cluster analysis with visualization tools and demonstrated from three different perspectives including: (1) the mostly-used CD molecules: β-Cyclodextrin, (2) preferred modeling tools: docking calculation and molecular dynamic, (3) hot research fields: structural properties, solubility, chiral recognition and solidstate inclusion complexes. Moreover, research frontier shift in the past three decades was traced by detecting keywords bursts with high citation. The current review provided us a macro-perspective and intellectual landscape to molecular modeling in CDs.

Towards an Enhancement of Knowledge Generation in Marketing by Contributions from Non-Western Contexts

This editorial paper highlights the significance of scholarly contributions from non-western contexts to business and management studies in general and marketing in particular. It calls for constructive, ethical, and committed collaborations between authors and reviewers of academic articles in order to collectively enhance knowledge generation in a global era. Using Iranian Journal of Management Studies as a case, it argues that whilst the increasingly epidemic west-centric journal rankings determine research quality perceptionsglobally, high quality research outputs from local non-western contexts can help draw the attention of researchers across the world to the value of work undertaken in non-western contexts. On this basis, it presents some hands-on suggestions for enhancing the quality of research outputsfrom non-westerncontexts, particularly in relation to new or emerging journals such as Iranian Journal of Management Studies.