Data Providers Research Articles

Survey on Stakeholder Cooperative Behavior for Designing Voluntary Medical Data Provision Motivation Mechanisms

The smooth provision of medical data is necessary to promote life science research utilizing artificial intelligence. However, data holders often do not voluntarily provide data. Previous literatures have stated several challenges of data sharing; however, studies on the perceptions of medical researchers are insufficient, especially in Japan. Aiming to explore data provision behavior in the actual Japanese context, we conducted a questionnaire survey on medical data use and data provision. The results clarified various obstacles to data sharing and revealed that whether the researcher is in an academic institution or a commercial company makes a difference.

AFASTAMENTOS LABORAIS POR TRANSTORNOS DE HUMOR ENTRE 2018 E 2020 NO PIAUÍ

ABSTRACT Objective: To analyze work absences due to mood disorders between 2018 and 2020 in Piauí. Method: Census study, descriptive-analytical, carried out in Piauí, Brazil, between May and July 2021. Data was collected from the National Social Security Institute’s database. Analyzed with descriptive and inferential statistics. Results: 1,717 leaves were identified, 65.3% were female workers with an average age of 39.78 years, 91% had an income of one to two minimum wages, 42.7% came from other municipalities, and 82.2% worked in the urban area. Among the absences, 52% were due to depressive episodes, and 84.2% of the workers were granted social security sickness benefits. There was a statistical association between the municipality of origin, the zone of labor activities, and the average duration of work leave. Conclusion: The study contributed to the identification of absences and the provision of data that collaborate in the formulation of intervention strategies and the worker’s best working conditions and mental health.

Provision of Non-Financial Data: Mapping of Stakeholders, Products and Services

Provision of Non-Financial Data: Mapping of Stakeholders, Products and Services

Profiling research on PFAS in wildlife: Systematic evidence map and bibliometric analysis

Abstract Per‐ and polyfluoroalkyl substances (PFAS) are a large group of synthetic chemicals that have been in use for over 70 years. Their ubiquitous distribution and harmful effects pose a threat to wildlife worldwide. To provide a comprehensive synopsis and show the gaps and gluts of existing research on PFAS exposure in wildlife, we created a systematic map and bibliographic analysis of the literature. We followed our protocol to conduct a systematic literature search on Scopus, Web of Science and five other databases. In two steps (title/abstract/keywords and full‐text), we screened peer‐reviewed empirical articles, preprints and theses in English that studied the concentration of at least one of 34 PFAS compounds in free‐ranging wildlife or their parts/products. Following the protocol, we extracted data and performed a critical appraisal. We included 581 publications. From the first and only paper in 2001, there was a linear annual increase to 54 papers in 2021. While PFOS (97% of studies), PFOA (91%) and long‐chain PFAS in general were the most measured, few studies investigated new‐generation PFAS (e.g. GenX and ADONA). Across the studied 1042 species from 26 taxonomic classes, the most frequent were the common carp (Cyprinus carpio, 8%), polar bear (Ursus maritimus, 6%) and European perch (Perca fluviatilis, 5%). Most sampling took place in the United States (17%), Norway (13%), Canada (12%) and China (10%), which were also the main publishing countries. Polar regions attracted significant research interest from countries all around the globe. Aquatic habitats (marine: 31%, freshwater: 28%) of temperate zones were the most common locations for sample collection. We encourage researchers to work towards closing the following gaps: investigating new‐generation PFAS, assessing PFAS in mid‐ and low‐income countries and performing more long‐term studies, especially on invertebrates. We note the recent rise in studies on the physiological consequences of PFAS exposure and encourage further work on this crucial topic. Furthermore, we recommend that the statement of potential and actual conflicts of interest, and the provision of raw data and analysis code should be made compulsory by all journals and routinely enforced. This practice will mitigate conflict of interest and ensure reproducibility.

Blind Spots in Development of Nanomedicines.

The field of nanomedicine demonstrates immense advantages and noteworthy expansion compared to conventional drug delivery systems like tablet, capsules, etc. Despite the innumerable advantages, it holds certain shortcomings in the form of blind spots that need to be assessed before the successful clinical translation. This perspective highlights the foremost blind spots in nanomedicine and emphasizes the challenges faced before the entry into the market, including the need for provision of safety and efficacy data by the regulatory agencies like FDA. The significant revolution of nanomedicine in the human life, particularly in patient well-being, necessitates to identify the blind spots and overcome them for effective management and treatment of ailments.

The Essentials or Fundamentals for Harnessing Technologies to Improve Teaching and Learning through Online Learning as Part of Digital Transformation in Higher Education

The Covid-19 pandemic accelerated digital transformation and usage of the fourth industrial revolution tools in most developing countries where teaching and learning most occurred through face-to-face interaction. To reap successes in the digitally transforming teaching and learning in universities, it is crucial to reconcile the key essential (factors) that need consideration for digital transformation and the challenges hindering the phenomenon. This study explored the fundamental factors for harnessing technologies for teaching and learning in State universities in Zimbabwe. The study employed a desk research approach. The study revealed that tertiary institutions were struggling to effectively implement online learning due to factors such as lack of strategy and vision on the implementation process, lack of financial resources, poor technological infrastructure, poor digital competences among lecturers and students as well as lack of adequate technical support. Instructors in these institutions mostly resorted to asynchronous online learning approaches because they lacked up to date gadgets for synchronous teaching and learning. Similarly, students preferred asynchronous learning due to data challenges as it offered self-pacing and flexibility. In limited cases lecturers make use of WhatsApp, Google Classroom, Google Meet and Zoom. The findings were that in order to institutionalise online learning as key component of digital transformation in state universities the fundamentals to be addressed include of procurement current and compatible IT infrastructure, comprehensive training and education to improve digital competences, incorporate digital transformation and the fourth industrial revolution into university curriculum to equip students, provision of internet data and improved internet connectivity.

Pro-environmental improving products Qualityin SMEs from the Visegrad Group Countries (V4)

Purpose: The aim of the article was to analyse the pro-environmental approach to products improvement by SMEs from the Visegrad Group (V4) countries. Design/methodology/approach: The research was survey. The survey research was carried out in traditional (paper) and electronic form (MS FORMS). The survey was directed at electronic industries (machinery processing) belonging to small and medium enterprises (SMEs) from V4 countries. The results presented in the article refer to sample size of 379 SMEs, obtained between March and September 2023. Results were analysed in statistical way, i.e.: ANOVA test and Mann Whitney U test by significance level equal to α = 0.05. Findings: SMEs in V4 countries have a similar approach to pro-environmental improving of products. It was shown that pro-environmental activities of SMEs from the V4 countries, the lowest consistency of assessments occurs in the following countries: Poland and Slovakia, Poland and Hungary, Slovakia and Hungary. Practical implications: The research results may contribute to more effective and coherent development activities of SMEs in the V4 countries as part of their sustainable development, and also to take appropriate actions that will be supporting qualitative and environmental products. Social implications: The results can help SME entrepreneurs improve their products to protect the natural environment. In addition, they can be the basis for the development of SMEs from the V4 countries and their unidirectional development, which includes not only improving the quality of products, but also caring for the environment. Originality/value: The originality of the research is the determination of the current pro-environmental approach to product improvement in SMEs in the V4 countries. The novelty is the provision of current data on the importance of improving pro-environmental products in SMEs from the V4 countries and their comparison between companies in the electrical machinery industry. Keywords: Visegrad Group (V4), SMEs, environment, quality, product improvement, production engineering. Category of the paper: Research paper.

Updated Information on NDB.

The Ministry of Health, Labour, and Welfare, Japan launched a national administrative claims database in 2009, which is called the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB). Detailed information on the NDB was reported in Annals of Clinical Epidemiology in 2019. The present report provides updated information on the NDB. In 2020, the provision of data to private companies, as well as public sectors and academic entities, was legislated. As of 2024, the Ministry of Health, Labour, and Welfare is planning linkage of NDB data with several other national databases. Our previous literature review identified a total of 126 original articles using the NDB and NDB Open Data published from 2013 to 2022. Our updated review identified 94 original articles using the NDB and NDB Open Data in the recent two years. Studies using the NDB are gradually increasing, but there is still room for enhancing NDB studies on various subject areas.

Clustering of Learners’ Data – A Case Study on Learning Analytics

With the increasing amount of digital learning offers, there is a high demand for individualized, adaptive learning pathways. The paper explores the role of learning analytics to improve qualification processes in educational institutions. E-learning, as a crucial component in educational and organizational learning, is examined for its role in enhancing learner success and motivation. Focusing specifically on Artificial Intelligence, the study aims to investigate how analysis approaches can provide valuable insights into the conceptualization and implementation of individualized learning pathways. In particular, the experimental environment, the use case for data provision and necessary data preparation are described. Furthermore, the application of different clustering methods to learners’ data gathered in the context of e-learning is presented and the findings are discussed.

인공지능과 디자인 협업을 위한 사용자 리터러시 고찰 연구

As artificial intelligence (AI) technology, which has become a representative technology of the Fourth Industrial Revolution, develops rapidly and becomes widespread, there are expectations that the lives of human recipients will improve in quality, and there are concerns that lives will be dominated by technology. It's getting bigger. Since this phenomenon is also appearing in the field of design creation, which is the field of this research, we decided that it was an important time to look at the current status of design using AI technology and the use of technology that will enrich life. This paper identified AI technology through literature review and case studies, and discussed the use of collaboration and the standards required for humans as a possibility that generative AI can contribute positively rather than negatively to design development. We also created new graphic images using Midjourney, a generative AI platform. In order to derive the concept and probability of user literacy as a standard for positive use of collaboration and technology between AI and design, which is the subject of research, we collaborate with AI focusing on design production cases through human-centered planning and data provision. We proposed a direction for the meaning and use of humans as creators in the design process. Based on this study, the purpose of this paper is to suggest a direction for effective use in which design that collaborates with AI moves in a direction that empathizes with users and expects education and growth as a designer who utilizes the infrastructure of the times.

지자체의 수요자 중심 주문형 데이터 제도 도입 필요성

This study examines the implementation of On-Demand Data Systems within the Seoul Metropolitan Government, a critical strategy in the digital era, focusing on public data usage in administration. It investigates the role of such systems in enhancing data accessibility, protection, and collaboration among stakeholders in local governments. The research discusses the ordinance direction for integrating these systems into local governance and observes the evolution of big data in relation to the evolving roles of local authorities. Findings reveal that On-Demand Data Systems can significantly aid community development and provide insights into future challenges and opportunities. Despite limitations in data usage in local governments, the study underscores potential advantages like improved administrative service quality and increased transparency in policy-making. Key challenges include data processing, protection, and the necessity for institutional improvements in data provision. The study concludes that effective utilization of On-Demand Data Systems in local governments can be vital for service and product development, fostering local economic growth and addressing social issues.

Legal Culture Obligation to Submit Tax Data and Information from Agencies, Institutions, Associations, and Other Parties

Law Number 28 of 2007 and Government Regulation Number 31 of 2012 mandate the provision of tax data by government agencies, institutions, associations and other parties (ILAP) to the Directorate General of Taxes (DJP). Even though criminal sanctions have been regulated, the implementation of these obligations is not optimal. DJP adopted alternative methods, such as a Memorandum of Understanding/MoU, to obtain tax data from ILAP. This research uses a research method that focuses on positive law with the theory of legal certainty by Gustav Radbruch, the theory of authority by Max Weber, and the theory of taxation by Adam Smith. The results of the research show that there is a discrepancy in the implementation of the obligation to submit tax data with positive law and the theory of legal certainty. Steps are needed to create a Memorandum of Understanding/Agreement/MoU up to a Cooperation Agreement by the DJP with ILAP to make the obligation to submit tax data and information from ILAP run smoothly in accordance with the study. theory of authority by Max Weber. To realize legal certainty in these regulations and to increase state revenues in accordance with the study of tax theory by Adam Smith, it is recommended that there be changes to norms in Law Number 28 of 2007 by adding an article regarding the making of a Memorandum of Understanding/MoU/Cooperation Agreement to increase legal certainty. and contribution to state revenue.Keywords: Reconstruction of Obligations; Data Submission; Tax Information; Legal certainty

KONSEP DASAR DALAM SISTEM INFORMASI MANAJEMEN DALAM PENDIDIKAN

Abstract : Management in education requires a system that stores various information needed in educational institutions. The system can be said to be a management information system. Management information systems in education have a very broad scope and are based on initial concepts such as systems, data, databases, and information presentation in an educational institution. This article aims to explain the basic concepts related to management information systems in education. This article uses descriptive qualitative and literature study methods by collecting various information from various references related to systems, system development, education systems, information, data, databases and the provision of educational data and information. The education system is a regular arrangement of activities and sub-systems that are interrelated with each other and correlated to achieve the desired educational goals. In the system there are two parts that should not conflict with each other, the difference only lies in the procedures for use and elements such as teachers, students, student guardians, principals, and the community. Furthermore, the system requires development that is useful as an improvement in achieving educational goals through stored data and information.

China’s regulations on new types of unfair competition in the digital age: ‘Internet Provision’ and ‘Data Provision’

Abstract This article delves into the emergence of ‘new types of unfair competition’ in China, propelled by the rapid development of the digital economy. It primarily focuses on ‘Internet Provision’ and the proposed ‘Data Provision’. Notably, China’s Anti-Unfair Competition Law, enacted in 1993, underwent its first significant revision after a span of 24 years, leading to the introduction of the ‘Internet Provision’. However, the typology of these provisions presented evident flaws, resulting in the frequent invocation of the ‘catch-all clause’ by the courts since its implementation. This lack of specific categorization for unfair competition in the Internet domain has led to the courts heavily relying on Article 2 of the ‘Anti-Unfair Competition Law’, which is regarded as a general provision. Unfortunately, this approach has given rise to convoluted reasoning, unstable outcomes and excessive judicial intervention in commercial competition matters. To address these issues, the newly proposed ‘data clause’ aims to reestablish clear typification. Nevertheless, it contains semantic ambiguities in its specific expression. More importantly, while the proposed rules consider the cost of public access to information, they do not sufficiently safeguard freedom of information. The lack of well-defined boundaries for data scraping tends to overly favour the original platforms that control the data. Confronting this novel form of unfair competition, it is crucial for codified law countries to endeavour to typify unfair competition acts. However, in designing the legal system, due consideration should be given to the principle of ‘competitive neutrality’ meaning that excessive judicial coercion and interference in the Internet competition landscape should be avoided to ensure a level playing field. The law’s role is to establish clear parameters while allowing for technical solutions to address many of the arising problems. Therefore, it is essential to define a precise and consistent standard. This paper argues against an overly broad recognition of ‘new unfair competition behaviour’, as it may hinder market entry and stifle innovation in the long run.

Non-Labeled, Stable Labeled, or Radiolabelled Approaches for Provision of Intravenous Pharmacokinetics in Humans: A Discussion Piece.

A review of the use of microdoses and isotopic microtracers for clinical intravenous pharmacokinetic (i.v. PK) data provision is presented. The extent of application of the varied approaches available and the relative merits of each are highlighted with the aim of assisting practitioners in making informed decisions on the most scientifically appropriate design to adopt for any given new drug in development. It is envisaged that significant efficiencies will be realized as i.v. PK data in humans becomes more routinely available for suitable assets in early development, than has been the case prior to the last decade.

Empowering Public Engagement in Spatial Planning: A Collaborative Mapping Approach

This paper explores collaborative mapping as an approach to enhance public engagement in spatial planning. It provides insights into the current state of the art in collaborative mapping for practitioners and policymakers aiming to utilize its potential for better spatial planning. Through a systematic analysis of relevant literature, it investigates the evolution, application, and challenges of collaborative mapping. A comprehensive search of relevant sources on Google Scholar reveals the growing interest in collaborative mapping, particularly since 2018, with a focus on topics like land use and accessibility. The review underscores the importance of democratizing spatial data collection and highlights the role of user-generated content in participatory approaches. Public participation in collaborative mapping is examined, emphasizing the inclusion of diverse stakeholders and the need for tailored approaches to accommodate varied motivations for engagement. Advantages such as cost reduction and data provision are balanced against challenges like data quality, semantic issues and accessibility barriers. Key dimensions of collaborative mapping, including cost reduction, data accuracy, semantic issues and stakeholder importance, are addressed in more detail.

A Scoping Review on Analysis of the Barriers and Support Factors of Open Data

Background: Using personal data as Open Data is a pervasive topic globally, spanning various sectors and disciplines. Recent technological advancements, particularly in artificial intelligence and algorithm-driven analysis, have significantly expanded the capacity for the automated analysis of vast datasets. There’s an expectation that Open Data analysis can drive innovation, enhance services, and streamline administrative processes. However, this necessitates a legally and ethically sound framework alongside intelligent technical tools to comprehensively analyze data for societal benefit. Methodology: A systematic review across seven databases (MEDLINE, CINAHL, BASE, LIVIVO, Web of Science, IEEExplore, and ACM) was conducted to assess the current research on barriers, support factors, and options for the anonymized processing of personal data as Open Data. Additionally, a supplementary search was performed in Google Scholar. A total of n=1192 studies were identified, and n=55 met the inclusion criteria through a multi-stage selection process for further analysis. Results: Fourteen potential supporting factors (n=14) and thirteen barriers (n=13) to the provision and anonymization of personal data were identified. These encompassed technical prerequisites as well as institutional, personnel, ethical, and legal considerations. These findings offer insights into existing obstacles and supportive structures within Open Data processes for effective implementation.

Anonymous and linkable ring signcryption scheme for location-based services in VANETs

In Location-Based Service (LBS), the vehicle user sends query messages, such as the nearest health centre, restaurant, etc., to the service provider for efficient and accurate service. The service provider gathers data regarding the received query, takes the service charge from the vehicle user, and provides these services efficiently and accurately. The service provider may reveal the vehicle user's privacy if the service provider is malicious. Similarly, if the vehicle user is malicious, he/she may also try to opt for the service from the service provider without paying the service charges. Therefore, vehicle users' queries and the service provider's data privacy are serious concerns in LBS. Some schemes, such as k-anonymity, cryptographic algorithms, etc., have been proposed to overcome these issues. The k-anonymity technique only offers vehicle users' query privacy. Cryptographic algorithms such as homomorphic encryption, oblivious transfer, etc., provide vehicle users' query and the service provider's data privacy at high communication and computation costs but reveal the vehicle user's identity. To overcome these problems, this work proposes an Anonymous and Linkable Ring Signcryption (ALRS) scheme for LBS in VANETs. It provides the service provider's data privacy and the vehicle user's query privacy, keeping the vehicle user's identity anonymous from the service provider. In addition, it maintains linkability (the number of times the same user requests a query) without revealing the identity of the vehicle user. Implementation and detailed results show that the ALRS scheme performed better than the current scheme regarding communication and computation costs and preserves all the privacy requirements.

MASK IMPORTANCE IN BURNED AREA MAPPING BASED ON REMOTE SENSING, GIS AND OPEN-SOURCE PRODUCTS

Abstract. Forest and field fires are an increasing problem for EU countries located in the southern parts of Europe. With each passing day, the need to develop a technological scheme for monitoring the territories affected by fires and the timely provision of open data in order to recover damages is increasing.In this study, the method used to study burned areas is based on the analysis of multispectral satellite images, the differences in terrain reflectivity and the use of indices to highlight the differences between areas with healthy vegetation and burned areas, taking into account their different signatures. Open source software - SNAP, QGIS, images from Sentinel-2 with bands in the green, red, near-infrared and short-wave infrared spectral bands were used for the purposes of the research. Data from the Inspire Directive was also used to analyze the types and characteristics of affected areas.In many cases, water bodies show a similar difference as the Normalized Burn Ratio (NBR) index, for this reason the need for their preliminary masking arises. Clouds that appear in each input image are also masked. A combined water and cloud mask is applied. To detect the water bodies, NDWI was used to maximize the reflectance of the water body in the green band and minimize the reflectance of the water body in the NIR range.

How International Organizations Influence State Behaviour: A Comparative Study of Environmental Governance

This paper conducts a comparative study of the World Bank and the United Nations Environment Programme (UNEP) in environmental governance. It seeks to understand how international organizations influence the behavior of sovereign states and assesses the efficacy of different pathways to control. Ecological issues have garnered significant attention in a globalized world with complex challenges that require international cooperation. The World Bank, as a prominent financier, provides loans and technical support to developing countries for environmental projects. Conversely, as a specialized UN agency, UNEP influences environmental governance through policy advocacy, international cooperation, technical support, and ecological data provision. Comparatively, the World Bank emphasizes project implementation and financial aid, while UNEP focuses on policy guidance, international collaboration, and data-driven decision-making. Both organizations play crucial roles in advancing environmental sustainability and international cooperation. This research highlights the complementary nature of international organizations and their ability to provide comprehensive support to nations. It recognizes their positive contributions and acknowledges challenges like improving cooperation among international organizations and addressing emerging environmental issues. Understanding how these organizations shape state behavior is vital for effective global environmental governance, promoting sustainable development, and environmental protection.