Data Management Research Articles

Documentation Management System with PDF Chat

Abstract:DMS represents the principle of software and hardware solutions that provide many capabilities including data storage, version control, metadata tagging, management and advanced search. These systems are essential tools for businesses, governm ent agencies, schools, doctors, professionals, and individuals looking to improve their information management strategies. By fa cilitating collaboration in the business environment to ensures data integrity and public compliance management, DMS has prov en to be relevant in many ways.DMS represents the principle of software and hardware solutions that provide many capabilities i ncluding data storage, version control, metadata tagging, management and advanced search. These are essential tools for busine sses, government agencies, schools, doctors, professionals, and individuals looking to improve their datas management strategies . To Build this system we have used ReactJS for frontend, NestJS for Backend, for Database we used PostgreSQL and for the PDF chat we used Langchain in Python.

Student Result Analysis and Management

Abstract: Student result analysis and management (SRAM) gives a straightforward interface to support student data. It might be utilised by instructive universities or colleges to keep up the records of students effectively. Student information system manages all sorts of student details, academic related reports results, batch details, and other resource related details too. An effective result analysis system plays a pivotal role in facilitating efficient management of student data and performance assessment. Institutions staff and administrators need to manage students’ information and academic records. For staff by offering analysis, streamlined administrative tasks and efficient records management. For students, it provides easy access to their academic performance and results metrics. This abstract delineates the design and implementation of a robust result analysis system, encompassing a PHP-based backend. The system caters to the needs of teachers, students, and administrators, offering functionalities tailored to each user category. Ultimately, the deployment of the result analysis system on a web server caters to the needs of educational institutions, facilitating efficient management of student data and fostering a conducive environment for academic assessment and improvement

Enhancing Visitor Engagement through Dynamic Web Interaction: A PHP and MySQL-Based Approach

Abstract: In today's digital era, establishing meaningful connections with website visitors is imperative for organizations aiming to foster growth and solidify relationships. This abstract introduces an innovative strategy for augmenting visitor engagement through dynamic web interaction, utilizing PHP and MySQL technologies. Our approach involves the creation of a dynamic web platform to deliver tailored experiences to visitors, ultimately enhancing user satisfaction and retention. The paper delineates the methodology and techniques utilized in constructing the system, encompassing aspects such as user authentication, data management, and interactive functionalities. Moreover, it delves into the implications of this approach for businesses striving to optimize their online presence and nurture enduring relationships with their audience.

Life Integrate: Unify Your Life, Simplify Your Success

Abstract: Efficient management and organization of personal and commercial data is critical for reducing stress and increasing productivity in the fast-paced digital environment we live in. An inventive smartphone software called "Life Integrate" attempts to meet this requirement by effectively managing duties and merging different facets of life. The project aims to mimic the effectiveness of an AI personal assistant by bridging the gap between contemporary lives and efficient organizing. The software smoothly distinguishes between personal and professional data by utilizing technologies like machine learning and natural language processing, which improves the user experience and efficiency. One to three clicks can easily share data with the app, which adds to its effectiveness and user-friendliness. Aiming to streamline processes, key features include real-time editing, interactive chats, speech-activated assistants, and contextual awareness. The project's emphasis on developing a personal bot that excels at data collection and generates intelligent ideas based on collected data exemplifies an intriguing combination of customization and artificial intelligence. With its 13 primary sub-tabs and extensive questionnaires for storing both personal and professional data, the app offers an approach to organization and management that is user-centric. Effective app development and deployment are ensured by the use of the Flutter and Dart platforms. In general, "Life Integrate" seeks to transform the information landscape, making it easier to acquire and use, and facilitating more enjoyable interactions between humans and machines. With this project, we hope to create a future in which people can easily incorporate technology into their daily lives, increasing productivity and lowering stress levels

Building Energy Optimization using BIM: A Study on Institutional Building

Abstract: In many facets of the construction industry, including energy management to encourage the development of green buildings, Building Information Modelling (BIM) is one of the contemporary data information platforms and management technologies that is widely employed. The goal of this study was to optimize an institutional building's energy consumption by analyzing and evaluating its energy performance using BIM-provided capabilities. The Civil Engineering block of Sree Vidyanikethan Engineering College in Tirupati, was taken into consideration for the investigation. The 2D blueprint was obtained from the engineering department and BIM technologies were used to create the necessary building model. The Green Building Studio (GBS) tool and Autodesk Insight 360 were utilized to conduct an energy analysis and derive the energy usage figures. The structural elements that are contributing to the high energy demand, such as the area between windows and walls, the width of the chajja relative to the height of the window, etc., were identified, and the BIM model underwent the required alterations to optimize the energy consumption. Comparing the data obtained in the two aspects, it was found that there was a 30% reduction in energy costs and a roughly 29.76% drop in energy use.

Enhancing Business Intelligence with Real-Time Sales Dashboards: Integrating SQL Databases and Power BI

Abstract: In today's fast-paced business environment, the ability to make informed decisions swiftly is crucial for maintaining a competitive edge. This project proposes the integration of SQL databases and Power BI to develop a real-time sales dashboard, aimed at transforming how sales data is visualized and analysed within the organization. By harnessing the robust capabilities of SQL databases for structured data management and Power BI for data visualization and analytics, the project seeks to provide comprehensive insights into sales trends, performance metrics, and customer behaviours. The integration will enable the automatic synchronization of sales data from SQL databases to Power BI, facilitating the creation of interactive and dynamic dashboards. These dashboards will not only display key sales indicators and metrics but also allow users to drill down into specific data points for deeper analysis. The real-time nature of the data presented will empower sales managers and executives to make data-driven decisions rapidly, adjust strategies on the fly, and identify opportunities for growth and improvement with unprecedented speed and accuracy.

A Collaborative Code Platform with Advanced AI Features and Real-Time Collaboration Tools

Abstract: Good collaboration and code management are crucial in today's software development environment. Our research has launched a new collaborative process that combines AI resources, including AI and global research, to improve products and enhance and facilitate collaboration. The platform features real-time collaboration tools such as dynamic text with multilanguage support, dialog functionality, and notepad functionality. With OAuth authentication, users can seamlessly perform CRUD operations on files and directories, share code repositories, and participate in live coding sessions. The platform supports compilation and execution of a code file and follows good design principles such as caching, microservices architecture, and containerization to ensure scalability and performance. The platform focuses on user experience by providing simple user interface design and easy interface navigation. Users can create workspaces, share them collaboratively, and seamlessly import repositories from Git. The platform's intelligent data manager helps manage files and directories, while the collaborative platform allows developers to collaborate on code libraries efficiently. The platform is modern web-based, using React on the frontend and Node.js on the backend; Supported with syntax highlighting and smart initialization along with Socket.io for runtime with SQL and NoSQL databases. Provides comprehensive language support. All progress is saved, providing users with peace of mind. While the basic design is for desktops, future iterations are expected to support mobile devices.

Impact of technological innovations on healthcare delivery: A literature review of efficiency, patient care, and operational challenges

The rapid integration of technology in healthcare systems globally has ushered in transformative changes in patient care, operational efficiency, and data management. This literature review assesses the impact of emerging technologies such as blockchain, information technology, electronic medical records (EMRs), and artificial intelligence (AI) within healthcare settings. Drawing from a wide range of peer-reviewed articles and empirical studies, this paper synthesizes current research findings to understand the multifaceted effects of these technologies on healthcare delivery. The review highlights how these innovations enhance healthcare quality, streamline operations, and tackle prevalent challenges, particularly focusing on their implementation in Saudi Arabian healthcare contexts. Key findings indicate that while technological advancements offer significant improvements in patient care and system management, they also introduce challenges related to privacy, security, and the need for significant infrastructure investments. The review underscores the necessity for ongoing research to navigate technology adoption’s complexities and optimize healthcare practices effectively. This paper contributes to academic and practical discussions on leveraging technology to foster more efficient and responsive healthcare systems worldwide.\

A conceptual study on challenges in web merchandising

Web merchandising presents a countless of challenges for online retailers seeking to establish and maintain a competitive edge in the digital marketplace. This study examines the multifaceted hurdles faced by e-commerce businesses, encompassing factors such as intense competition, consumer behavior, data management complexities, personalization demands, mobile optimization imperatives, SEO, dynamic pricing considerations, security and fraud prevention measures. Retailers need to take a complete approach that combines modern technology, data analytics, and an in-depth understanding of consumer preferences in order to successfully manage these issues. Businesses may improve client interaction, boost online visibility, and promote long-term success in the dynamic field of web retailing by taking on these difficulties directly.

Exploring on Cloud Security Landscapes:A Comprehensive Review

Nowadays, the massive growth of data and the adoption of the cloud-based architecture indicate that the secure storage of data is a very essential issue. Cloud storage is the solution to convenient, scalable and cost-effective storage, yet security issues persist, especially regarding the protection of sensitive information. The encryption plays a vital role in which data is made unreadable and only accessible by those with the proper authorization. This helps in data management and minimizes data leaks. Shared responsibility in cloud security entails collaboration between the operators and users through the encryption strategy and a number of security measures to protect the data, apps, and infrastructure. This paper deals with the different cryptographic techniques and technologies used for improving cloud security. It discusses the notion of Non-Deterministic Cryptographic Scheme (NCS), which is a secure technique that effectively utilizes randomness in cryptographic algorithms. Regarding the Intel architecture compatibility, SGX and blockchain technology implementation not only ensures data immutability, but it also strengthens the data against cyber threats. SGX produces secure compartments inside cloud platforms, while blockchain makes data integrity possible through decentralized and immutable ledger technology. The research gives an impression of the seaside and multi sided cloud security. Involving encryption, access control, data loss prevention, and intrusion detection systems. Technologies of cryptography like Group Key Based Attribute Encryption (GKBAE) and Modified Random Fibonacci Cryptography (MRFC) offers both data protection and reduced resource requirement in clouds. GKBAE enables fine-grained access control and attribute-based encryption that ensures high data security without any additional computation. In addition, the paper also talks about the privacy-preserving technology, and policy-oriented access control framework. Techniques like Linear Elliptical Curve Digital Signature (LECDS) that combine digital signatures with blockchain technologies can also be used to implement the above features. To sum up, the changing scenario of cloud security requires ceaseless innovation and application of the latest cryptographic methods. Through encryption, hardware level security features and distributed ledger technology implementation, data environment is more strengthened and vulnerabilities to hacking, data leakage, and unauthorized access are decreased. Making use of the modern security tools not only does the data safety but also is responsible for the trustworthiness and stability of the cloud computing infrastructure. Keywords— Cloud Security, Encryption, Data Protection, Non-Deterministic Cryptographic Scheme (NCS), Intel SGX, Blockchain, Group Key Based Attribute Encryption (GKBAE), Modified Random Fibonacci Cryptography (MRFC), Data Confidentiality.

Barriers and benefits of mHealth for community health workers in integrated community case management of childhood diseases in Banda Parish, Kampala, Uganda: a cross-sectional study

BackgroundLow-quality data presents a significant challenge for community health workers (CHWs) in low and middle-income countries (LMICs). Mobile health (mHealth) applications offer a solution by enabling CHWs to record and submit data electronically. However, the barriers and benefits of mHealth usage among CHWs in informal urban settlements remain poorly understood. This study sought to determine the barriers and benefits of mHealth among CHWs in Banda parish, Kampala.MethodsThis qualitative study involved 12 key informant interviews (KIIs) among focal persons from Kampala City Council Authority (KCCA) and NGOs involved in data collected by CHWs, and officials from the Ministry of Health (MOH) and two mixed-sex Focused Group Discussions (FGDs) of CHWs from Banda parish, Kampala district. Data analysis utilised Atlas Ti Version 7.5.7. Thematic analysis was conducted, and themes were aligned with the social-ecological model.ResultsThree themes of institutional and policy, community and interpersonal, and individual aligning to the Social ecological model highlighted the factors contributing to barriers and the benefits of mHealth among CHWs for iCCM. The key barriers to usability, acceptability and sustainability included high training costs, CHW demotivation, infrastructure limitations, data security concerns, community awareness deficits, and skill deficiencies. Conversely, mHealth offers benefits such as timely data submission, enhanced data quality, geo-mapping capabilities, improved CHW performance monitoring, community health surveillance, cost-effective reporting, and CHW empowering with technology.ConclusionDespite limited mHealth experience, CHWs expressed enthusiasm for its potential. Implementation was viewed as a solution to multiple challenges, facilitating access to health information, efficient data reporting, and administrative processes, particularly in resource-constrained settings. Successful mHealth implementation requires addressing CHWs’ demotivation, ensuring reliable power and network connectivity, and enhancing capacity for digital data ethics and management. By overcoming these barriers, mHealth can significantly enhance healthcare delivery at the community level, leveraging technology to optimize resource utilization and improve health outcomes. mHealth holds promise for transforming CHW practices, yet its effective integration necessitates targeted interventions to address systemic challenges and ensure sustainable implementation in LMIC contexts.

Content analysis of succession planning in nursing management: a qualitative study

AimThe identification and development of managerial talents for nursing manager succession in the future should be a concern for organisations, as the concept of succession planning has not been seriously...

Development of web-based software for environmental impact assessment focusing on road traffic noise

In the Republic of Korea, Environmental Impact Assessment (EIAs) precedes development projects to predict and analyze potential environmental effects. Generally, EIA noise evaluations utilize 2D noise prediction equations and correction coefficients. This method, however, offers only a sectional noise evaluation and has limitations in complex environments with diverse noise sources. Moreover, the determination of various variables during the EIA process based on subjective human judgment raises concerns about the reliability of the results. Thus, this study aims to develop software accessible via a web environment for user-friendly EIA noise evaluations. This software supports integrated data management and generates a 3D noise prediction model for more precise and realistic analysis of noise impacts, specifically focusing on road-traffic noise at this stage of development. The 3D noise prediction model and noise map generated by the developed software have been validated against through comparison with the results of onsite noise measurements and commercial EIA software, SoundPLAN. This validation aimed to assess the practical utility of the application.

Spatio-temporal data fusion techniques for modeling digital twin City

ABSTRACT The digital twin city technique maps the massive city environmental and social data on a three-dimensional virtual model. It presents the operational status of physical world and supports intelligent city governance. However, the inefficient utilization of distributed data resources, and the lack of sharing and collaboration among multiple departments restrict the data formulation of digital twin city construction. This research proposes a new cross-domain spatio-temporal data fusion framework for supporting complex urban governance. It integrates the heterogeneous urban information generated and stored by different government departments using multiple-information techniques. A specified geographic base reflecting the real city status is established, using geographical entities with unified address as identifiers to encapsulate the urban elements information. We introduce a comprehensive urban spatio-temporal data center construction process, which has already supported multiple urban governance projects. The two distinct advantages in using this data fusion system are: 1) The proposed Bert+PtrNet+ESIM-based address mapping method associates the urban elements information to their corresponding geographic entities with 99.3% F1-Score on real-world dataset. 2) The Wuhan spatio-temporal data center operation illustrates the capability of our framework for complex urban governance, which significantly improves the efficiency of urban management and services. This integrated system engineering provides reference and inspiration for further spatio-temporal data management, which contributes to the future social governance in digital twin city platform.

Transforming Service Management: The Implementation of AMC Software Solutions in Modernizing Product Servicing

In today's dynamic business environment, organizations are compelled to adapt swiftly to stay competitive. Smart Information Management has emerged as a crucial strategy for achieving agility and efficiency. This paper introduces the concept of the AMC Management System, a comprehensive software solution designed to optimize product servicing within the framework of UPRNNS. The AMC system aims to automate and streamline complaint registration, resolution, and data management processes, thereby enhancing customer satisfaction and operational efficiency. This paper explores the objectives, challenges, proposed digital solution, business needs, scope, benefits, and project analysis of the AMC Management project. Additionally, it outlines the software requirements, entities involved, modules, and future scope of the project, highlighting the potential for integrating advanced technologies such as artificial intelligence, machine learning, and the Internet of Things to further enhance service delivery and customer engagement. Keywords— Smart Information Management, AMC Management System, Product Servicing, Automation, Customer Satisfaction, Digital Solution, Future Scope.

Autonomous Trash Tracking System

Our revolutionary waste management project introduces a comprehensive solution leveraging cutting-edge technology to transform traditional waste disposal systems. By integrating a smart mobile application and sensor-equipped trash cans, our initiative aims to streamline the waste disposal process, addressing challenges such as timing issues, accessibility concerns, and data management inefficiencies. The mobile app empowers users with real-time information on bin availability, optimal disposal times, and recycling practices, fostering a sense of responsibility and environmental sustainability among communities. Sensor-equipped trash cans strategically placed in public spaces communicate with the mobile app and municipal waste management systems via the Internet of Things (IoT), providing accurate, up-to-date data on bin statuses. This data-driven approach allows for dynamic optimization of waste collection routes, minimizing operational costs and environmental impact. Furthermore, municipalities can utilize real-time data insights to allocate resources efficiently, schedule maintenance based on usage patterns, and implement targeted educational campaigns. Overall, our technology-driven solution not only enhances efficiency in waste management but also contributes to reducing environmental pollution and promoting sustainable waste disposal practices. Keywords—Smart dustbins, proximity sensors, moisture sensors, App development, software and hardware integration

Prevalence, perceptions and associated factors of health insurance enrollment among older persons in selected cash grant communities in Ghana: a cross-sectional mixed method

BackgroundUniversal Health Coverage has been openly recognized in the United Nations health-related Sustainable Development Goals by 2030, though missing under the Millennium Development Goals. Ghana implemented the National Health Insurance Scheme programme in 2004 to improve financial access to healthcare for its citizens. This programme targeting low-income individuals and households includes an Exempt policy for older persons and indigents. Despite population ageing, evidence of the participation and perceptions of older persons in the scheme in cash grant communities is unknown. Hence, this paper examined the prevalence, perceptions and factors associated with health insurance enrollment among older persons in cash grant communities in Ghana.MethodsData were from a cross-sectional household survey of 400 older persons(60 + years) and eight FGDs between 2017 and 2018. For the survey, stratified and simple random sampling techniques were utilised in selecting participants. Purposive and stratified sampling techniques were employed in selecting the focus group discussion participants. Data analyses included descriptive, modified Poisson regression approach tested at a p-value of 0.05 and thematic analysis. Stata and Atlas-ti software were used in data management and analyses.ResultsThe mean age was 73.7 years. 59.3% were females, 56.5% resided in rural communities, while 34.5% had no formal education. Two-thirds were into agriculture. Three-fourth had non-communicable diseases. Health insurance coverage was 60%, and mainly achieved as Exempt by age. Being a female [Adjusted Prevalence Ratio (APR) 1.29, 95%CI:1.00–1.67], having self-rated health status as bad [APR = 1.34, 95%CI:1.09–1.64] and hospital healthcare utilisation [APR = 1.49, 95%CI:1.28–1.75] were positively significantly associated with health insurance enrollment respectively. Occupation in Agriculture reduced insurance enrollment by 20.0%. Cited reasons for poor perceptions of the scheme included technological challenges and unsatisfactory services.ConclusionHealth insurance enrollment among older persons in cash grant communities is still not universal. Addressing identified challenges and integrating the views of older persons into the programme have positive implications for securing universal health coverage by 2030.

A blockchain‐based secure framework for data management

AbstractData management is a crucial requirement due to the autonomous and constrained nature of Unmanned Aerial Vehicles (UAVs), Internet of Things (IoTs), and the aviation domain. The autonomous and restricted nature of these sectors increases the need for a shared, distributed database, strong access control management, consensus in autonomous decision‐making, and effective communication across diverse protocols and devices. This research presents a comprehensive approach and offers a new viewpoint to the field of blockchain while establishing a fundamental baseline for future improvements in data management systems and addressing the shortcomings of previously proposed existing frameworks in order to fulfill the complex needs of secure data management. This study contributes to the advancement of secure and efficient data management systems by implementing robust data monitoring for error detection, ensuring data integrity, and enabling encrypted or anonymous data sharing based on sensitivity levels. Additionally, the integration of diverse devices, enforcement of immutable regulations compliance, and development of permissioned blockchain systems for identity management further enhance the system's capabilities, offering comprehensive solutions for modern data management challenges. In the tests, the proposed framework showed increased successful transactions in all rate controllers. Besides, effect of the validator number on throughput and latency is tested and analyzed thoroughly.

A qualitative exploration of challenges and factors in research data management across Indonesian research institutes

This research investigates the challenges and factors that influence the implementation of research data management (RDM) in Indonesian research institutes. This study conducted in-depth interviews with six data managers from five Indonesian research institutions using a qualitative research approach. The interview data were analyzed using NVivo software, and the TOPE framework guided the identification of factors and challenges in (RDM) implementation. Critical aspects in RDM implementation are applications, hardware, culture, organizational units, institutional policies, leadership support, awareness, knowledge, education, skills, funder regulations, and government policies. Challenges in RDM implementation encompass access control, data quality, ease of use, building trust, availability of responsible staff, user understanding, researchers’ resistance, awareness, and inter-institutional relations. Research on data management, especially in developing countries like Indonesia, is limited. This study contributes by providing a high-level overview of research institutions in Indonesia, enhancing their understanding of the challenges and critical aspects involved in establishing effective RDM within their institutions.

The Epidemiology of Errors in Data Capture, Management, and Analysis: A Scoping Review of Retracted Articles and Retraction Notices in Clinical and Translational Research

The Epidemiology of Errors in Data Capture, Management, and Analysis: A Scoping Review of Retracted Articles and Retraction Notices in Clinical and Translational Research