Research Data Research Articles

The Experiences of Practical Nurse Students in Promoting the Rehabilitation of the Elderly Through Nursing Care and Its Education – A Secondary Publication

The significance of rehabilitation-promoting nursing care is emphasized in aging Finland. According to studies, rehabilitation-promoting nursing care enhances the functional capacity of the elderly. The Elderly Services Act obliges municipalities to create a plan to support the elderly population, emphasizing living at home and rehabilitative measures. A large portion of graduated practical nurses will be working with the elderly, so the education of practical nurses must meet the needs of the workforce. The study aimed to produce new information on the implementation of rehabilitation-promoting nursing care in the elderly services system and on the education of rehabilitation-promoting nursing care for the elderly in vocational institutions. The research data was collected in the fall of 2020 through individual theme interviews with practical nurse students (n = 8). The data was analyzed using inductive content analysis. The experiences of practical nurse students regarding rehabilitation-promoting nursing care for the elderly were related to nurses’ time management, organizational practices, nurses’ competence, nurses’ attitudes, nurses’ methods of operation, organizational development, implementation and development of practical teaching, factors affecting the use of aids, and the technology of aids in the future. In conclusion, it can be stated that the content of education and practical work life do not align. It is essential to increase competence in rehabilitation-promoting nursing care and develop organizational practices.

Determination of Opinions on HPV Infection and HPV Vaccine among Nursing Students by Focus Group Discussion.

Purpose: This study aimed to determine nursing students' opinions about human papillomavirus (HPV) infection and HPV vaccine. Methods: This is a qualitative focus group discussion study, in which a state university in Western Turkey, undergraduate nursing students are recruited through purposive sampling. The research data were collected on an online platform with the focus group interview method by using the Participant Information Form and Semistructured Interview Form. Results: Three main themes (HPV infection/vaccine perception, severity perception, and suggestions and requests/facilitators) and eight subthemes were developed based on the thematic analysis of the research findings. Conclusions: According to the findings, it was concluded that nursing students' opinions on HPV infection and HPV vaccine were affected by factors related to cultural, religious, and sexual behaviors. Based on study results, it is suggested to organize national cervical screening programs to increase public's knowledge and awareness on the subject in accordance with the sociocultural norms of the society with the agreement and cooperation of educated health service providers, policy makers, and educators.

Attention Training for Child Anxiety and Its Disorders: Moving from Research to Clinical Implementation.

Attention training is an evidence-based, computerized treatment for anxiety and its disorders rooted in cognitive neuroscience. Though experimental research and clinical trials data on attention training in children span two decades, the literature has focused on attention training's anxiety reduction effects, with little guidance on its implementation in clinical practice. Guidance on implementation is needed given recent efforts to increase accessibility of attention training in clinical practice settings. In this article, we move from research to clinical implementation, providing guidelines with pragmatic clinical steps. We include guidance on psychoeducation, setting and delivery of sessions, potential challenges, and frequently asked questions regarding implementation.

Views of general practice staff on sharing general practice data for research: a scoping review protocol.

The objective of this scoping review is to understand the range and types of evidence in relation to the views of general practitioner and other general practice staff on sharing general practice data for research purposes. The use of general practice data for research has the potential to drive transformative improvements in health care. The vast amount of patient data collected in general practice is valuable and provides researchers with data to conduct large-scale studies and generate evidence that can inform policy decisions, support the development of personalized medicine, and enhance patient outcomes. However, despite there being clear benefits to using general practice data for research, there are also potential harms, such as data misuse, loss of trust between the general practitioner and patient, and data breaches. This scoping review will focus on the views of general practice staff, including general practitioners, practice nurses, and practice managers, about sharing general practice data for the purposes of research. This scoping review will exclude sources of evidence that are conducted outside of the general practice setting, and papers that report on public, patient, or community views on data sharing. This scoping review will be conducted in accordance with JBI methodology for scoping reviews. A 3-step search strategy will be used to acquire both published and unpublished sources of evidence. Two independent reviewers will select sources of evidence in line with the inclusion and exclusion criteria. No limits on the date of the search or language will be applied. Data will be extracted and the results will be summarized descriptively and presented in a tabular format. Open Science Framework https://osf.io/49yw5.

Generative Adversarial Networks for Synthetic Data Generation in Finance: Evaluating Statistical Similarities and Quality Assessment

Generating synthetic data is a complex task that necessitates accurately replicating the statistical and mathematical properties of the original data elements. In sectors such as finance, utilizing and disseminating real data for research or model development can pose substantial privacy risks owing to the inclusion of sensitive information. Additionally, authentic data may be scarce, particularly in specialized domains where acquiring ample, varied, and high-quality data is difficult or costly. This scarcity or limited data availability can limit the training and testing of machine-learning models. In this paper, we address this challenge. In particular, our task is to synthesize a dataset with similar properties to an input dataset about the stock market. The input dataset is anonymized and consists of very few columns and rows, contains many inconsistencies, such as missing rows and duplicates, and its values are not normalized, scaled, or balanced. We explore the utilization of generative adversarial networks, a deep-learning technique, to generate synthetic data and evaluate its quality compared to the input stock dataset. Our innovation involves generating artificial datasets that mimic the statistical properties of the input elements without revealing complete information. For example, synthetic datasets can capture the distribution of stock prices, trading volumes, and market trends observed in the original dataset. The generated datasets cover a wider range of scenarios and variations, enabling researchers and practitioners to explore different market conditions and investment strategies. This diversity can enhance the robustness and generalization of machine-learning models. We evaluate our synthetic data in terms of the mean, similarities, and correlations.

Struktur Modal, Likuiditas, Profitabilitas Terhadap Nilai Perusahaan Pada Perusahaan Sektor Transportasi Dan Logistik

The aim of this research is to determine the influence of capital structure, liquidity and profitability on company value in transportation and logistics sector companies listed on the Indonesia Stock Exchange for the 2018-2022 period. The number of samples studied was 40 companies with 5 years of research. So the total data used was 200 research data. The research method used is panel data regression analysis test. The research uses hypothesis testing to develop research results on the influence of capital structure, liquidity and profitability on company value. The research results conclude that the capital structure variable has a positive and significant effect on company value. Every increase in capital structure variables will be able to increase company value significantly. The liquidity variable has a positive and significant effect on company value. Every increase in the liquidity variable will be able to increase company value significantly. The profitability variable does not have a significant effect on company value. Any increase in the profitability variable will not increase or decrease the company value significantly.Keywords: Capital Structure, Liquidity, Profitability and Company Value

Analisis Strategi Pemasaran Dalam Meningkatkan Daya Saing Pada Restoran Makanan Cepat Saji Rocket Chicken Tlogosari Raya

This research was conducted at Rocket Chicken Tlogosari Semarang. This study aims to determine (1) What kind of marketing strategy Rocket Chicken Tlogosari is doing in the midst of increasing business competition (2) The marketing mix carried out by Rocket Chicken Tlogosari in increasing competitiveness (3) Why Rocket Chicken is still able to maintain its business until now. The strategy carried out by Rocket Chicken Tlogosari is to use marketing strategies (4P) namely Product, Price, Place and Promotion. This research uses a case study method, with data collection through indepth interview techniques, direct observation and documentation. To test the credibility of the data using triangulation of data sources and triangulation of data collection techniques. The research data sources in in-depth interviews are participants who have a position or authority in the object of research, namely as many as 5 (five) participants. The results of this research show that in the application of marketing strategies (4P) from the product aspect, Rocket Chicken Tlogosari always applies the predetermined SOP so that it has quality products, the price that Rocket Chicken Tlogosari has is very affordable for consumers, the place or location that Rocket Chicken Tlogosari has is very strategic and the promotion carried out by Rocket Chicken Tlogosari through social media. In this study, several problems were found that Rocket Chicken Tlogosari experienced, such as the lack of menu innovation offered and less than optimal promotion on social media. The solution to the problems experienced by Rocket Chicken Tlogosari is that it is necessary to innovate the menu so that it can attract consumer interest and in terms of promotion Rocket Chicken Tlogosari needs to have an Instagram social media account with higher traffic than other social media, this aims to intensify promotions so that consumers know more about the latest products and promos from Rocket Chicken Tlogosari

Vocational and Higher Education: The Role of Trust in the Formation of Educational and Professional Trajectory

The article compares the impact of student trust on their educational and career trajectories in vocational and higher education. Since 2015, in Russia, enrollment in upper-grade vocational education programs has exceeded enrollment in higher education programs, and increasingly, young people choose TVET (Technical and Vocational Education and Training) institutions. Therefore, interest in studying various factors influencing the specific trajectories in TVET and higher education is growing. One of these factors is trust, which remains insufficiently studied. Trust has a positive effect on various aspects of education (academic achievements, satisfaction, loyalty to the university, etc.), which can directly or indirectly determine the choice of further educational and professional trajectory. The research data comes from a survey of Russian TVET and higher education students. Particularly in higher education, in contrast to TVET, student trust (in other students, teachers and management) influences their plans regarding educational and career trajectories after graduation. However, this influence depends on the subject of trust and on the intended life trajectory.

Identification of Ground Vulnerability Based on Kg, PGA, and GSS Assessment by Single Station Microtremor in Bendosari Hamlet, Kalasan Village, Yogyakarta

Bendosari Hamlet, Kalasan, Yogyakarta is a research area that is one of the areas affected by the earthquake that occurred on May 27, 2006. The earthquake with a magnitude of 6.4 caused quite severe damage to buildings around the research area. Based on the phenomenon of earthquakes that have occurred, there needs to be further study related to vulnerable areas in the event of another earthquake. Research data is primary data taken using a single statiun microtremor tool with an overall acquisition point of 50 measurement points. This study aims to find out the value of seismic vulnerability index (Kg), Peak Ground Acceleration (PGA), and Ground Shear Strain (GSS). Using the Horizontal to Vertical Spectral Ratio (HVSR) method, the dominant frequency result (f0) and amplification factor value (A0) from data that has been recorded through the microtremor tool. Based on research that has been done, the results are obtained in the f0rm of seismic vulnerability index values that are in the range of 0.49 - 30.18, the value of the acceleration of ground movement is in the range of 0.21 - 0.61 Gal, and the ground shear strain value is in the range of 4 x 10-6 to 38 x 10-5. Point K26 which is the original documentation of buildings affected by the earthquake, analyzed that the value of Vs of 858.112 m / s on the vs ground profile indicates that there is hard soil at a depth after 27.2 m. This shows that the thickness of subsurface sedimentary rocks at point K26 is quite thick. Keywords: Bendosari Hamlet; Mikrotremor; GSS; HVSR; PGA; Seismic Vulnerability

Cross-jurisdictional Data Transfer in Health Research: Stakeholder Perceptions on the Role of Law

AbstractLarge data-intensive health research programmes benefit from collaboration amongst researchers who may be located in different institutions and international contexts. However, complexities in navigating privacy frameworks and data protection laws across various jurisdictions pose significant challenges to researchers seeking to share or transfer data outside of institutional boundaries. Research on the awareness of data protection and privacy laws amongst stakeholders is limited. Our qualitative study, drawn from a larger project in Singapore, revealed insights into stakeholders’ perceptions of the role of law in cross-national health data research. Stakeholders in our study demonstrated a range of perceptions regarding the role of data protection law in governing the collection and transfer of health data for research. The main criticisms included inadequate legal protection to data and lack of uniformed data protection standards. Despite these criticisms, participants recognised the importance of data protection law in supporting cross-border data transfers and proposed measures to improve perceived limitations of existing laws. These measures include strengthening existing legal framework, establishing contractual agreements and imposing severe punishments for data misuse.

Research Data Management in the Humanities: Challenges and Opportunities in the Canadian Context

In recent years, research funders across the world have implemented mandates for research data management (RDM) that introduce new obligations for researchers seeking funding. Although data work is not new in the humanities, digital research infrastructures, best practices, and the development of highly qualified personnel to support humanist researchers are all still nascent. Responding to these changes, this article offers four contributions to how humanists can consider the role of “data” in their research and succeed in its management. First, we define RDM and data management plans (DMP) and raise some exigent questions regarding their development and maintenance. Second, acknowledging the unsettled status of “data” in the humanities, we offer some conceptual explanations of what data are, and gesture to some ways in which humanists are already (and have always been) engaged in data work. Third, we argue that data work requires conscious design—attention to how data are produced—and that thinking of data work as involving design (e.g., experimental and interpretive work) can help humanists engage more fruitfully in RDM. Fourth, we argue that RDM (and data work, generally) is labour that requires compensation in the form of funding, support, and tools, as well as accreditation and recognition that incentivizes researchers to make RDM an integral part of their research. Finally, we offer a set of concrete recommendations to support humanist RDM in the Canadian context.   Ces dernières années, les organismes de financement de la recherche du monde entier ont mis en place des mandats de gestion des données de recherche (en anglais, Research data management, RDM) qui introduisent de nouvelles obligations pour les chercheurs en quête de financement. Bien que le travail sur les données ne soit pas nouveau dans les sciences humaines, les infrastructures de recherche numérique, les meilleures pratiques et le développement d'un personnel hautement qualifié pour soutenir les chercheurs humanistes en sont encore à leurs balbutiements. En réponse à ces changements, cet article propose quatre contributions sur la façon dont les humanistes peuvent considérer le rôle des "données" dans leur recherche et réussir à les gérer. Tout d'abord, nous définissons les techniques de recherche et de gestion de donnéesdonnées et les plans de gestion des données (en anglais "data management plan", DMP) et soulevons certaines questions urgentes concernant leur développement et leur maintenance. Deuxièmement, reconnaissant le statut incertain des "données" dans les sciences humaines, nous proposons quelques explications conceptuelles de ce que sont les données, et soulignons certaines façons dont les humanistes sont déjà (et ont toujours été) engagés dans le travail sur les données. Troisièmement, nous soutenons que le travail sur les données nécessite une conception consciente - une attention à la manière dont les données sont produites - et que le fait de considérer le travail sur les données comme impliquant une conception (par exemple, un travail expérimental et interprétatif) peut aider les humanistes à s'engager de manière plus fructueuse dans la RDM. Quatrièmement, nous soutenons que la RDM (et le travail sur les données en général) est un travail qui nécessite une compensation sous forme de financement, de soutien et d'outils, ainsi qu'une accréditation et une reconnaissance qui incitent les chercheurs à faire de la RDM une partie intégrante de leur recherche. Enfin, nous proposons une série de recommandations concrètes pour soutenir la RDM humaniste dans le contexte canadien.

Towards a quality indicator for research data publications and research software publications – a vision from the Helmholtz Association

Research data and software are widely accepted as an outcome of scientific work. However, in comparison to text-based publications, there is not yet an established process to assess and evaluate quality of research data and research software publications. This paper presents an attempt to fill this gap. Initiated by the Working Group Open Science of the Helmholtz Association, the Task Group Helmholtz Quality Indicators for Data and Software Publications currently develops a quality indicator for research data and research software publications to be used within the Association. This report summarizes the vision of the group of what all contributes to such an indicator. The proposed approach relies on generic well-established concepts for quality criteria, such as the FAIR Principles and the COBIT Maturity Model. It does – on purpose – not limit itself to technical implementation possibilities to avoid using an existing metric for a new purpose. The intention of this paper is to share the current state for further discussion with all stakeholders, particularly with other groups also working on similar metrics but also with entities that use the metrics.

Open-source data pipeline for street-view images: A case study on community mobility during COVID-19 pandemic.

Street View Images (SVI) are a common source of valuable data for researchers. Researchers have used SVI data for estimating pedestrian volumes, demographic surveillance, and to better understand built and natural environments in cityscapes. However, the most common source of publicly available SVI data is Google Street View. Google Street View images are collected infrequently, making temporal analysis challenging, especially in low population density areas. Our main contribution is the development of an open-source data pipeline for processing 360-degree video recorded from a car-mounted camera. The video data is used to generate SVIs, which then can be used as an input for longitudinal analysis. We demonstrate the use of the pipeline by collecting an SVI dataset over a 38-month longitudinal survey of Seattle, WA, USA during the COVID-19 pandemic. The output of our pipeline is validated through statistical analyses of pedestrian traffic in the images. We confirm known results in the literature and provide new insights into outdoor pedestrian traffic patterns. This study demonstrates the feasibility and value of collecting and using SVI for research purposes beyond what is possible with currently available SVI data. Our methods and dataset represent a first of its kind longitudinal collection and application of SVI data for research purposes. Limitations and future improvements to the data pipeline and case study are also discussed.

Membangun Kesehatan Mental Generasi Alpha: Urgensi Konseling dalam Mengatasi Tantangan Bullying di Era Sosial Media Melalui Komunikasi Empati

This research aims to determine the urgency of counseling in overcoming the challenges of bullying in the era of social media through empathetic communication. This research is a qualitative-descriptive study with a phenomenological approach to observe and describe natural phenomena that occur in the alpha generation in the social media era. Research data was obtained from bullying cases on social media, as well as from journal articles and other relevant literature. Analysis of this research data involves data reduction, data presentation, and conclusion. The validity of the research data was carried out using triangulation testing. The results of this research show that building the mental health of the Alpha generation through counseling is essential in the modern era filled with technology. Counseling creates a safe space to share experiences and feelings, helping them manage technological stress and social pressure. Addressing bullying in the age of social media requires empathetic communication, approaching the perpetrator with tact, providing positive support, and creating a safe place to talk. This can form a culture that is friendly, and supportive, and teaches the values of diversity and respect for others. Counseling and empathetic communication are not only solutions to psychological problems and bullying, but also a strong foundation for the mental and emotional well-being of the Alpha generation in an ever-changing world.

Manajemen Badan Amil Zakat Nasional Sumatera Utara dalam Meningkatkan Kesejahteraan Sosial Mustahik

This study aims to determine the management of the Empowerment of the North Sumatra National Amil Zakat Agency in improving mustahik social welfare. This study uses a descriptive qualitative approach to observe the natural conditions of the North Sumatra National Amil Zakat Agency. The data source of this study refers to mustahik conditions through non-part participant observation and semi-structured interview results. This research data is also sourced from journal articles, and relevant literature. In analyzing research data, researchers refer to the concept of reduction, presentation, and drawing conclusions. Data validity techniques This study refers to triangulation. The results of this study indicate that the North Sumatra Baznas plays a central role in improving mustahik welfare with a focus on zakat. Through the identification of poverty, surveys, and collaboration with local stakeholders, Baznas compiled sharia -based programs such as North Sumatra Care and North Sumatra Makmur. They changed the paradigm of giving zakat from consumptive to productive, involving training skills, financial education, and business capital. With a holistic approach, Baznas ensured that zakat improved mustahik welfare, reflecting productive investment for sustainable social welfare.

Qinghai-Tibet Plateau Glacier-DEM product derived from the Chinese stereo mapping satellites

Abstract. The Digital Elevation Model (DEM) is an important basic data for glacier research on the Qinghai-Tibet Plateau. With the rapid development of China 's stereo mapping satellite, it is possible to obtain high-precision DEM in the glacier area of the Qinghai-Tibet Plateau. In this study, the stereo images and laser altimetry data of ZY-3 and GF-7 satellites were comprehensively used, and the matching and joint adjustment methods of laser elevation control points and stereo images were proposed. A high-precision DEM product in glacier area was established, and the elevation accuracy of DEM was verified by using UAV data and ICESat-2 data. The results show that the accuracy of GF-7 DEM is better than 1.5 m when the slope is less than 6 degrees, and the overall accuracy is better than 2.8 m. The accuracy of ZY-3 DEM is better than 3.5 m when the slope is less than 6 degrees, and the overall accuracy is better than 5.0 m. Compared with the open source DEM with medium spatial resolution, the DEM elevation accuracy based on domestic stereo mapping satellite images is better, and the grid is finer and more detailed to describe the texture characteristics of the end of the glaciers. Compared with the high spatial resolution data set HMA DEM, the ZY-3 DEM is slightly worse and the GF-7 DEM is better, and both the ZY-3 DEM and GF-7 DEM are better than the HMA DEM in terms of coverage integrity in the Qinghai- Tibet Plateau. Chinese stereo mapping satellites can generate high-precision DEM in the glacier area, and can provide more accurate and reliable terrain reference data than the existing open free data for the study of glaciers in the Qinghai-Tibet Plateau.

Associations between personality traits and different types of mobile phone use while driving: A cross-sectional study

This study investigated the interplay between personality traits and mobile phone use while driving (MPUWD) among 392 drivers in Zahedan. The study revealed that individuals with higher levels of agreeableness and conscientiousness were less likely to MPUWD. For each unit increase in agreeableness or conscientiousness, there was an 8 % decrease in the odds of MPUWD, along with decreases in various phone-related activities. Conversely, individuals with higher levels of neuroticism were more likely to engage in MPUWD, with increased odds for various activities. Open-minded individuals tended to avoid MPUWD, showing decreases in odds for certain activities with each unit increase. Additionally, higher extraversion scores were associated with decreased odds of taking pictures while driving. Notably, the study highlighted the positive association between agreeableness and hands-free MPUWD. Additionally, the study demonstrated that personality traits molded TBP constructs and moral norms. The multiple regression model revealed that agreeableness exhibited significant relationships with behavior intention, while conscientiousness was linked to attitude, perceived behavior control, and subjective norms. Furthermore, moral norms demonstrated significant associations with both agreeableness and conscientiousness. However, the study's reliance on self-reported measures may introduce biases, highlighting the importance of incorporating objective measures and observational data in future research to enhance validity.

A Contribution to the Study of Violence Against Women in Politics

This chapter addresses various aspects of the emerging research area, exploring concepts, theories, and data related to the study of violence against women in politics. It occurs within the political sphere but specifically targets women. It is used to reinforce traditional social and political structures by targeting women leaders who challenge patriarchy and the prevailing social expectations and norms. In many societies, such practices are marginalized, naturalized, depoliticized, and remain invisible. When female politicians are attacked for their political views alone, this is not necessarily a case of violence against women in politics. Ambiguity emerges, however, due to the fact that the means for attacking female politicians often rely on gendered scripts, focusing on women’s bodies and their traditional social roles, primarily as mothers and wives, to deny or undercut women’s competence in the political sphere. Symbolic and semiotic violence in politics can be effective in sustaining women’s oppression because it is subtle, euphemized, and invisible. Even if women recognize these acts as exercises of power, they still do not name it violence, even in societies with greater levels of gender equality. The concept of semiotic violence refers to the use of language, images and symbols as a means to marginalize and disqualify women as political actors. Often normalized, these dynamics serve to maintain gender hierarchies, undermining democracy and eroding the possibilities for women’s political empowerment. In response to the question of how to solve the problem of violence against women in politics, researchers offer a solution in the form of a comprehensive approach to addressing this sort of violence.

A Company Analysis and Risk Assessment of Nike

This paper offers a detailed examination of Nike's current strategic initiatives, both internal and external, aimed at addressing potential challenges and ensuring sustained market leadership in the dynamic sportswear industry. Internally, the company's commitment to innovation, effective marketing, and product differentiation reflects a proactive approach to maintaining competitiveness. Collaborative efforts with athletes and influencers contribute to increased brand awareness and market share. Additionally, Nike's research and development data guide the brand in understanding consumer preferences, reinforcing its market leadership. Externally, Nike adeptly navigates economic fluctuations, global competition, and technological changes through a diversified supply chain, strategic financial instruments, and an openness to technological advancements. The company's social responsibility objectives further bolster its brand reputation, mitigating potential threats from labor and environmental concerns. This paper suggests that Nike can enhance its risk management by prioritizing sustainable practices and ethical sourcing, aligning with the rising demand for environmentally conscious products. Strengthening collaborations with regulatory bodies, embracing emerging technologies, and closely monitoring consumer trends will be crucial for maintaining agility in adapting to market shifts and securing continued success and growth.

Re-use of research data in the social sciences. Use and users of digital data archive.

The aim of this paper is to investigate the re-use of research data deposited in digital data archive in the social sciences. The study examines the quantity, type, and purpose of data downloads by analyzing enriched user log data collected from Swiss data archive. The findings show that quantitative datasets are downloaded increasingly from the digital archive and that downloads focus heavily on a small share of the datasets. The most frequently downloaded datasets are survey datasets collected by research organizations offering possibilities for longitudinal studies. Users typically download only one dataset, but a group of heavy downloaders form a remarkable share of all downloads. The main user group downloading data from the archive are students who use the data in their studies. Furthermore, datasets downloaded for research purposes often, but not always, serve to be used in scholarly publications. Enriched log data from data archives offer an interesting macro level perspective on the use and users of the services and help understanding the increasing role of repositories in the social sciences. The study provides insights into the potential of collecting and using log data for studying and evaluating data archive use.