Data Management - Science topic

The surge of data generated by the Internet of Things (IoT) has driven the evolution of different computing layers such as edge, fog, and cloud. More recently, the inherent need for IoT data management and processing within and among these layers has set the stage for the novel concept of the computing continuum. The computing continuum describes a...

Artificial Intelligence Enabled Management: An Emerging Economy Perspective is a thought-provoking book that explores the complex issue of Artificial Intelligence (AI) in developing countries. The capabilities of AI are enormous with a broad spectrum of applications, ranging from manufacturing to service industries. This book explores the multifari...

This textbook provides an overview of five popular computer programs: SPSS, STATA, EViews, QuickBooks and Power BI. SPSS and STATA are statistical software packages widely used for data management and analysis by researchers across various fields such as psychology, health sciences, and economics. EViews is an econometrics software primarily used...

The integration of Quantum Human-Computer Interaction (QHCI) with Internet of Things (IoT) systems represents a promising approach to enhancing cybersecurity and web services in smart grids. This paper explores the theoretical framework and practical implications of leveraging QHCI principles within IoT architectures to address critical security ch...

Using Python packages (such pandas, sci-kit learn, seaborn, matplotlib) to perform data analysis on anonymized LinkedIn Profile picture and bio dataset. This presentation was made as part of my deliverables for my course MIS 502 - Data Management for Analytics taught by Prof. Jim Ryan. OBJECTIVES: •To determine the Best Place to Work using the Te...

Health data governance is essential for optimal processing of data collection, sharing, and reuse. Although the World Health Organization (WHO) has proposed practical guidelines for managing health data during the pandemic, the Organization for Economic Cooperation and Development (OECD) found that many countries still lack the use of health data f...

The rapid increase of Earth science data from remote sensing, models, and ground-based observations highlights an urgent need for effective data management practices. Data repositories track provenance and usage metrics which are crucial for ensuring data integrity and scientific reproducibility. Although the introduction of Digital Object Identifi...

This research aims to examine the impact of the Current Ratio, Total Asset Turnover, and Debt to equity ratio on Return On Assets, and the combined impact of Current Ratio, Total Asset Turnover, and Debt to Equity Ratio on Return On Assets in companies operating in the Food and Beverage sub-sector listed on the Indonesia Stock Exchange (BEI) from 2...

Because current conceptualisations of how to achieve Artificial Intelligence are data driven, so information professional skills applied to data become highly relevant. Translating our well established information skills to the context of data management and stewardship could be invaluable in such areas as data search, understanding data provenance...

Background Maternal injury with any form of perineal trauma following vaginal delivery is very common which ranges globally from 16.2 to 90.4%. The frequency of Obstetric anal sphincter Injuries and the incidence of cervical laceration increases rapidly. However, in Ethiopia, there is limited evidence on the prevalence of maternal birth trauma and...

Introdução: O artigo aborda a interseção entre arquivos indígenas, princípios CARE (Benefício Coletivo, Autoridade para Controlar, Responsabilidade e Ética) e governança de dados indígenas, enfocando o fortalecimento do Direito à Memória das comunidades indígenas. A pesquisa se concentra na análise e compreensão dos princípios CARE e sua aplicação...

Introdução: A região amazônica é reconhecida globalmente pela sua ampla biodiversidade e pela presença dos povos amazônicos, que são fontes valiosas de dados científicos. Nos últimos anos, os dados abertos se destacaram como uma ferramenta crucial na era digital, promovendo transparência e inovação. O blockchain é uma tecnologia desenvolvida para g...

This article delves into the integration of hybrid cloud architectures with Cosmos DB, highlighting the strategic advantages and addressing the challenges organizations face in adopting this modern IT infrastructure. As businesses strive for greater flexibility, scalability, and security in their digital operations, hybrid cloud architectures emerg...

RESUMO A curadoria de dados de dados de pesquisa é geralmente colocada de forma uniforme para toda a ciência. Os perfis que caracterizam a grande e a pequena ciência são frequentemente desconsiderados ou minimizados no planejamento e desenvolvimento de e-infraestrutura de pesquisa e, mais especificamente, de plataformas de gestão de dados. Enquanto...

The evolution of decentralized storage, propelled by blockchain advancements, has revolutionized data management. This paper focuses on content security in the InterPlanetary File System (IPFS), a leading decentralized storage network lacking inherent content encryption. To address this vulnerability, we propose a novel hybrid cryptographic algorit...

Particle-in-Cell Monte Carlo simulations on large-scale systems play a fundamental role in understanding the complexities of plasma dynamics in fusion devices. Efficient handling and analysis of vast datasets are essential for advancing these simulations. Previously, we addressed this challenge by integrating openPMD with BIT1, a Particle-in-Cell M...

Study-specific data quality testing is an essential part of minimizing analytic errors, particularly for studies making secondary use of clinical data. We applied a systematic and reproducible approach for study-specific data quality testing to the analysis plan for PRESERVE, a 15-site, EHR-based observational study of chronic kidney disease in chi...

This volume comprises the select proceedings of the 3rd International Conference on Artificial Intelligence, Robotics, and Communication (ICAIRC 2023). The content focuses on big data and cloud computing and the application of artificial intelligence, robotics and engineering, the Internet of Things, and sensor technology. Some of the topics covere...

SeaWatchAI revolutionizes ocean data management by offering a proactive approach to environmental monitoring and data management for experts and non-experts at scale. By integrating advanced AI capabilities provided by the Bluemvmt platform with a user-friendly front-end, SeaWatchAI addresses the pressing challenges in hydrography, acoustic data pr...

The Saudi government has launched the Saudi Vision 2030 that aims to increase the home ownership rate to 70% by 2030 by taking the different sustainability goals into consideration. However, several challenges such as rapid urbanization and the gap between housing supply and demand are facing this goal. This study attributes the housing supply gap...

Demand is emerging for personal health records (PHRs), a patient-centric digital tool for engaging in shared decision-making and healthcare data management. This study uses a RE-AIM framework to explore rural patients and providers’ perceptions prior to and following implementation of a PHR. Health care providers and their patients were recruited f...

Globally, antimicrobial resistance (AMR) poses a real risk to people’s health. To ascertain the burden, implications, and trends of AMR and to track the results of interventions, surveillance is a crucial activity. High-quality laboratory data must be efficiently collected and shared with surveillance systems. Particularly in LMICs with high diseas...

Regular measurement of realized genetic gain allows plant breeders to assess and review the effectiveness of their strategies, allocate resources efficiently, and make informed decisions throughout the breeding process. Realized genetic gain estimation requires separating genetic trends from nongenetic trends using the linear mixed model (LMM) on h...

Effective Human Resources (HR) management is one of the keys to organizational success. Human Resource Information System (HRIS) is an information technology tool designed to support HR functions efficiently. This research aims to analyze the use of HRIS in improving HR management efficiency using the Systematic Literature Review (SLR) method. This...

The supply chain forms the backbone of the modern consumer economy, weaving an intricate network of stakeholders across geographical and socioeconomic divides. While new technologies have enhanced supply chain management, the market dynamism and network complexities continue to challenge decision-makers. This study employs social network analysis a...

This presentation provides an overview of the evolution and new roles of academic libraries in the digital age. It presents a research and pragmatic real world based exposition of academic research libraries delineating the paradigm shift from traditional library book repository models to technologically advanced learning commons and synthetic tech...

Making data FAIR—findable, accessible, interoperable, reproducible—has become the recurring theme behind many research data management efforts. dtool is a lightweight data management tool that packages metadata with immutable data to promote accessibility, interoperability, and reproducibility. Each dataset is self-contained and does not require me...

Degradation presents a significant challenge, particularly exacerbated by current climate change. Our study focuses on the Lower Ziz watershed, located in southeastern Morocco, which is characterized by a semi-desert climate and is at high risk of land degradation due to water and wind erosion. Natural factors such as precipitation intensity and fr...

En el presente trabajo se presenta el diseño de un sistema fotovoltaico conectado a red sobre las cubiertas de la Empresa de Muebles (MADESA) del municipio de Santiago de Cuba, para ello primeramente fue realizado un análisis del consumo energético de la empresa durante el año 2023 y se caracterizó la carga actual de la misma. El diseño se realizó...

In the digital era, multimodal behavioral research has emerged as a pivotal discipline, integrating diverse data sources to comprehensively understand human behavior. This paper defines and distinguishes data governance from mere data management within this context, highlighting its centrality in assuring data quality, ethical handling, and partici...

Context One in four Canadians experiences chronic pain, yet insufficient services and restrictions surrounding prevailing treatments result in inadequate management and significant negative consequences for these individuals. Previous work indicates that hypnotic communication represents a promising complementary treatment; however, training protoc...

Robust data governance frameworks are becoming increasingly necessary for enterprises to make effective decisions. This study looks at how important data governance is in promoting better decision-making by guaranteeing the accuracy, security, and integrity of organizational data. It demonstrates how businesses may strategically create and implemen...

This research aims to investigate the relationship between the use of Internet of Things (IoT) sensor technology and energy efficiency in smart building contexts. IoT sensor technology has become an integral component in efforts to enhance building energy performance through real-time environmental data collection and automated control implementati...

Objective This study aimed to develop and validate a quantitative index system for evaluating the data quality of Electronic Medical Records (EMR) in disease risk prediction using Machine Learning (ML). Materials and methods The index system was developed in four steps: (1) a preliminary index system was outlined based on literature review; (2) we...

The College Bus Tracking System (CBTS) detailed in this abstract introduces an innovative approach to campus transportation management, utilizing Google API and Firebase integration to ensure student safety and operational efficiency. A standout feature of CBTS is its ability to deliver real-time notifications when a student enters the predefined b...

The evolving landscape of the Internet of Things (IoT) has given rise to a pressing need for an efficient communication scheme. As the IoT user ecosystem continues to expand, traditional communication protocols grapple with substantial challenges in meeting its burgeoning demands, including energy consumption, scalability, data management, and inte...

Valamontes' Postulate of Information Fluid Dynamics (IFD) suggests that information behaves analogously to a fluid, with properties and dynamics that can be mathematically and practically modeled. This paper explores the theoretical foundation of IFD. It investigates its practical applications, particularly in the fields of data transfer, storage,...

Background The related literature has primarily addressed cigarette smoking control. It seems that researchers have failed to explore the determinants of hookah smoking (HS) control. In an attempt to fill this gap, the present study explores experts’ views about aspects of HS control in Bandar Abbas, a city in the south of Iran. Methods The presen...

School is a system consisting of components that are interrelated and influence each other to achieve one goal. In an effort to achieve school goals, a lot of data processing is carried out. However, middle school academic data processing, especially around me, is still done manually and is still less effective and efficient. Manual processes are e...

In the era of Industry 4.0, artificial intelligence (AI) is assuming an increasingly pivotal role within industrial systems. Despite the recent trend within various industries to adopt AI, the actual adoption of AI is not as developed as perceived. A significant factor contributing to this lag is the data issues in AI implementation. How to address...

This module contains the ethics request forms for our workshop focus group (id: PSY-2324-S-0350). This focus group aims to qualitatively explore and identify barriers to adoption for modular publishing. The ethics request was approved. The supplements to the main request included are copies of the consent form, the information sheet, the data manag...

The rising popularity of phenomena such as ubiquitous computing and IoT poses increasingly high demands for data management, and it is not uncommon that database management systems (DBMS) must be capable of reading and writing hundreds of operations per second. Vector DBMSs (VDBMS) are novel products that focus on the management of vector data and...

The Simons Observatory (SO) is a cosmic microwave background (CMB) observatory consisting of three small aperture telescopes and one large aperture telescope. SO is located in the Atacama Desert in Chile at an elevation of 5180m. Distributed among the four telescopes are over 60,000 transition-edge sensor (TES) bolometers across six spectral bands...

DOWNLOADS 2 Abstract Purpose The purpose of this study are to identify the factors influencing the adoption of big data in libraries, determine the challenges causing the hindrance of big data implementation and reveal the best practices for the efficient adoption of big data in libraries. Design/methodology/approach A systematic literature review...

This research aims to design and implement a Web-based Project Management System for Bengkel Las Santoso, operating in Sumberjo Village, Blitar. Given the widespread development of information technology, this study includes an analysis of the existing manual data management system currently in use at Bengkel Las Santoso. The primary goal is to enh...

This paper puts forth a systematic approach to evaluating the maturity level of the robotization of production processes in the context of digital transformation for manufacturing companies. The method was developed to address the absence of a sector-specific framework for assessing robotization maturity growth, in line with the Industry 5.0 guidel...

Telecommunication (telco) cloud services have emerged as crucial components in the modern digital landscape, offering extensive capabilities for data management, connectivity, and service provision. However, research on telco clouds lacks comprehensive data on the characteristics of production workloads, which is fundamental for designing effective...

The impact of Covid-19 has been felt since March 2020 with restrictions on activities involving large groups of people. One of the activities that have been quite impacted by Covid-19 is the implementation of student Final Project activities, starting from the guidance process, administrative completeness and exams. The solution currently being car...

This paper reviews the work in the areas of smart grid (SG) transformation, its potential benefits, challenges, and the promising solutions offered by blockchain technology. The conventional electrical grid is evolving into a more reliable and efficient SG, characterized by its modern architecture and integration of smart appliances, meters, and re...

This paper aims to develop a conceptual system architecture utilising the land survey data model (LSDM) to manage spatial information associated with field design for oil and gas projects. A widely accepted design science research approach was used, which includes five phases as the foundation phase, development phase, implementation phase, demonst...

Recently, many programming languages have become popular in the scientific environment, especially scripting languages, due to their high abstraction level. In this context, many scientists began to model their scientific experiments in scripting languages to ensure more control and efficient data management when seeking for results. If, on one sid...

In today's data-driven world, the influence of data applications is profound, impacting millions of lives daily. However, current implementations heavily rely on cloud storage services, which involve significant tradeoffs according to the CAP theorem. Exploring traditional disk storage approaches can unveil new possibilities, not limited to specifi...

The poster titled "Strengthening Regulatory Structures for COVID-19 Vaccine Safety Surveillance in Nigeria: A Capacity Building Approach" highlights the strategies employed to enhance vaccine safety surveillance in Nigeria. Key initiatives included training 3,324 surveillance and immunization officers on adverse event reporting using the Medsafety...

Digital data processing has revolutionized medical documentation and enabled the aggregation of patient data across hospitals. Initiatives such as those from the AO Foundation about fracture treatment (AO Sammelstudie, 1986), the Major Trauma Outcome Study (MTOS) about survival, and the Trauma Audit and Research Network (TARN) pioneered multi-hospi...

Over the last decade, health information systems (HIS) have undergone significant changes, particularly in embracing flexible frameworks for ongoing development. This evolution underscores the necessity for information technology (IT) infrastructures that rapidly align with clinical processes. The paper investigates the transition of hospital infor...

The simulation analogy presented in this work enhances the accessibility of abstract quantum theories, specifically the stochastic hydrodynamic model (SQHM), by relating them to our daily experiences. The SQHM incorporates the influence of fluctuating gravitational background, a form of dark energy, into quantum equations. This model successfully a...

The rapid growth of electronic health (eHealth) systems has led to serious security and privacy challenges, highlighting the critical importance of protecting sensitive healthcare data. Although researchers have employed blockchain to tackle data management and sharing within eHealth systems, substantial privacy concerns persist as a primary challe...

Background Lead is one of the most nonessential toxic heavy metal agents found in automotive garages. The occupational exposure of garage workers to lead commonly poses acute and chronic health risks that can be prevented. In Ethiopia, there have been limited studies on lead exposure among garage workers, who overemphasize exposure to lead. This st...

Addressing a strategy for publishing open and digital research data, this article presents the approach for streamlining and automating the process of storage and conversion of research data to those of semantically queryable data on the web. As the use case for demonstrating and evaluating the digitalization process, the primary datasets from low‐...

Date: 05/30/24 As organizations continue to embrace digital transformation, integrating advanced data management solutions with robust IT service management platforms has become increasingly important. Amazon DynamoDB, a fully managed NoSQL database service, and ServiceNow, a leading ITSM platform, offer a powerful combination for managing IT opera...

This paper advocates the possibility of integrating the models of traditional business school to entrepreneurship development and job creation in Nigeria. Drawing insights from extensive review of literature, the paper utilizes secondary data in its analytical discourse. The paper's theoretical foundation was Theodore W. Schultz's human capital the...

In October 2023, during the Italian Civil Protection Week, in Eastern Lombardy (Italy) a large technical-thematic seismic exercise called “EXE.Lomb.Est 2023” was organized, with the goal of testing the response of the Regional Civil Protection system for post-earthquake damage assessment activities. Within this context, the use of an unmanned aeria...

Date: 06/05/24 In the modern era of microservices and cloud-native applications, efficient data management and seamless API integration are crucial for building robust and scalable systems. MongoDB, a leading NoSQL database, and AWS Smithy, a framework for defining services and generating client and server code, offer powerful capabilities for deve...

Building structure data management is an important aspect in the construction industry for building efficiency and safety. In today's digital era, efficient and quickly accessible data storage methods are indispensable for building maintenance, repairs, and updates. One approach that is increasingly being noticed is the use of graphs in building st...

El constante perfeccionamiento de la técnica científica en el área de la electrónica, la informática, y las telecomunicaciones en su funcionalidad aplicada a diversas actividades económicas, comerciales y financieras; ha consolidado un sistema de productividad en función del desarrollo de la tecnología en su objeto principal de incrementar el proce...

The cross-disciplinary virtually simulated platform for enterprise management in universities’ new business courses is an initiative practical framework based on scenario-driven tasks. However, there is a prominent conflict between the rapid operating cycle of simulation enterprises plus their fierce competitions and the strategic demand for real-t...

This article delves into the cutting-edge methodologies revolutionizing database management systems (DBMS) through the lens of SQL query optimization, parallel processing, and the integration of graphics processing units (GPUs). As the digital world grapples with ever-increasing volumes of data, the efficiency, speed, and scalability of database sy...

Blockchain technology has emerged as a revolutionary approach for ensuring data security, providing robust backup solutions, and facilitating efficient data recovery mechanisms. This paper explores the fundamental principles of blockchain and its application in enhancing data security through immutable and distributed ledgers. Additionally, it exam...

Question Answering (QA) systems provide accurate answers to questions; however, they lack the ability to consolidate data from multiple sources, making it difficult to manage complex questions that could be answered with additional data retrieved and integrated on the fly. This integration is inherent to Situational Data Integration (SDI) approache...

Introduction African cities, particularly Abidjan and Johannesburg, face challenges of rapid urban growth, informality and strained health services, compounded by increasing temperatures due to climate change. This study aims to understand the complexities of heat-related health impacts in these cities. The objectives are: (1) mapping intraurban he...

This study explores the affective aspects ― Willingness to communicate (WTC) and International Posture (IP) ― and speaking skills after using technological tools. Online synchronous meeting tool, Zoom, and the asynchronous tool, Padlet, were used as online learning platforms. Data were collected using an 8-item questionnaire on the WTC and a 20-ite...

The purpose of this study was to develop a dashboard with information visualisation for the lifelong learning (LLL) programs at Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) and provide recommendations for UMPSA to improve the strategies and decision-making for future LLL program offerings. This study used the Cross Industry Standard Proces...

Entity matching (EM), the task of identifying whether two descriptions refer to the same entity, is essential in data management. Traditional methods have evolved from rule-based to AI-driven approaches, yet current techniques using large language models (LLMs) often fall short due to their reliance on static knowledge and rigid, predefined prompts...

The purpose of this study is to analyze the effect of big data analytics on clinical and management decisions in Ghanaian healthcare facilities focusing on the Ga West Municipal Hospital (GWMH), Greater Accra Regional Hospital (GARH), and Weija-Gbawe Municipal Hospital (WGMH) in the Greater Accra Region of Ghana. This study employed a qualitative r...

Point-of-care testing (POCT) is becoming an increasingly popular way to perform laboratory tests closer to the patient. This option has several recognized advantages, such as accessibility, portability, speed, convenience, ease of use, ever-growing test panels, lower cumulative healthcare costs when used within appropriate clinical pathways, better...

Data Management Plans (DMPs) are vital components of effective research data management (RDM). They serve not only as organisational tools but also as a structured framework dictating the collection, processing, sharing/publishing, and management of data throughout the research data life cycle. This can include existing data curation standards, the...

Objectives: This study aims to address the critical challenges of data integrity, accuracy, consistency, and precision in the application of electronic medical record (EMR) data within the healthcare sector, particularly within the context of Chinese medical information data management. The research seeks to propose a solution in the form of a medi...

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Resumo: Este artigo tem como objetivo fazer uma reflexão sobre os dados de pesquisa no contexto da Arquivologia e a importância da produção, gestão, transmissão e preservação dos dados em ambientes adequados, mantendo uma cadeia de custódia digital segura e ininterrupta para que os dados se mantenham autênticos e confiáveis ao longo do tempo, com f...

The Internet of Things (IoT) connects objects that sense, communicate, and interact to achieve shared goals, and its integration with manufacturing has led to Industry 4.0. Security is crucial for user acceptance, involving data confidentiality, integrity, authentication, identity management, privacy, and trust among devices. Trust management is vi...

The fusion of satellite technologies with the Internet of Things (IoT) has propelled the evolution of mobile computing, ushering in novel communication paradigms and data management strategies. Within this landscape, the efficient management of computationally intensive tasks in satellite-enabled mist computing environments emerges as a critical ch...

As the convergence of the internet of things (IoT) and cloud computing continues to reshape data management paradigms, ensuring the integrity of vast datasets becomes a critical concern. This research introduces an innovative solution for large-scale IoT-cloud systems, presenting an efficient and secure multi-owner batch integrity checking scheme....

🚀 We are thrilled to announce the official launch of DOTEbase! 🚀 After months of intensive development and testing, DOTEbase is now live and available to researchers and students. We are proud and excited to share this groundbreaking software with you all. DOTEbase is our innovative software package designed to support the qualitative analysis of...

Accessibility in today's reality is becoming an increasingly important issue as it affects every individual. We are observing the progressive ageing of the Polish population. By applying the principles of universal design, all needs related to mobility, vision, hearing, and other issues are met, thereby creating inclusive spaces that eliminate soci...

The exponential growth of Internet of Things (IoT) devices has ushered in an era of vast data generation, necessitating abundant resources for data storage and processing. Cloud environment forms a notorious paradigm for such data accommodation. Meanwhile, the privacy issues assimilated in IoT data provoke huge complications in data placement. In a...

Wearable health devices generate extensive data that can provide valuable insights into individual health and wellness. However, analyzing this data effectively requires advanced computational capabilities and scalable storage solutions. Integrating deep learning with cloud services offers a powerful framework for the large-scale analysis of wearab...

Data plays a key role in current society with its security facing challenges. In this context, data trusts have emerged, but the trustee’s obligations are vague. The theory and practice of data trust in Britain, the United States, Japan and other countries are developing vigorously. However, China has not yet established a relevant legal system wit...

This paper explores the integration of Artificial Intelligence (AI) in healthcare within the European regulatory context, focusing particularly on the managerial challenges and opportunities it presents. Utilizing a qualitative methodology that includes policy analysis, managerial strategy evaluation, and an extensive review of case studies, this s...

The security system is very important in the process of managing data. Security guarantees are needed in information systems, especially in the Core Banking System application. The Core Banking System application used by the author is the Temenos T24 Core Banking System Application. The data manager in the Temenos T24 Core Banking System Applicatio...

Purpose Norway, like other welfare states, seeks to leverage data to transform its pressured public healthcare system. While managers will be central to doing so, we lack knowledge about how specifically they would do so and what constraints and expectations they operate under. Public sources, like the Norwegian policy documents investigated here,...

The continuous manufacturing of biologics offers significant advantages in terms of reducing manufacturing costs and increasing capacity, but it is not yet widely implemented by the industry due to major challenges in the automation, scheduling, process monitoring, continued process verification, and real-time control of multiple interconnected pro...

Program assessment is highly useful for individuals to measure the progress, success, and impact of a program. However, there is not much scrutiny involving relationships between academia, industry, the public sector, civil society, and the natural environment. Therefore, this concept paper aims to enhance understanding, learning and existing knowl...

The demand for open data and open science is on the rise, fueled by expectations from the scientific community, calls to increase transparency and reproducibility in research findings, and developments such as the Final Data Management and Sharing Policy from the U.S. National Institutes of Health and a memorandum on increasing public access to fed...

Purpose Older adults admitted to the intensive care unit (ICU) usually have fair baseline functional capacity, yet their age and frailty may compromise their management. We compared the characteristics and management of older (≥ 75 years) versus younger adults hospitalized in ICU with hospital-acquired bloodstream infection (HA-BSI). Methods Neste...

As JWST begins to return observations, it is more important than ever that exoplanet climate models can consistently and correctly predict the observability of exoplanets, retrieval of their data, and interpretation of planetary environments from that data. Model intercomparisons play a crucial role in this context, especially now when few data are...

The study aims to assess smart contract solutions for centralized construction project bidding. Traditional bidding methods in construction projects can be vulnerable to fraud and collusion, leading to unfairness and tampering with information. Electronic tendering technologies have been introduced to streamline the process but rely on a centralize...

Fair allocation of funding in multi-centre clinical studies is challenging. Models commonly used in Germany - the case fees (“fixed-rate model”, FRM) and up-front staffing and consumables (“up-front allocation model”, UFAM) lack transparency and fail to suitably accommodate variations in centre performance. We developed a performance-based reimburs...