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Journal articles on the topic 'Visualization Dashboard'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

Vázquez-Ingelmo, Andrea, Francisco José García-Peñalvo, Roberto Therón, and Miguel Ángel Conde. "Representing Data Visualization Goals and Tasks through Meta-Modeling to Tailor Information Dashboards." Applied Sciences 10, no. 7 (2020): 2306. http://dx.doi.org/10.3390/app10072306.

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Information dashboards are everywhere. They support knowledge discovery in a huge variety of contexts and domains. Although powerful, these tools can be complex, not only for the end-users but also for developers and designers. Information dashboards encode complex datasets into different visual marks to ease knowledge discovery. Choosing a wrong design could compromise the entire dashboard’s effectiveness, selecting the appropriate encoding or configuration for each potential context, user, or data domain is a crucial task. For these reasons, there is a necessity to automatize the recommendat

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Vanden Hautte, Sander, Pieter Moens, Joachim Van Herwegen, et al. "A Dynamic Dashboarding Application for Fleet Monitoring Using Semantic Web of Things Technologies." Sensors 20, no. 4 (2020): 1152. http://dx.doi.org/10.3390/s20041152.

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In industry, dashboards are often used to monitor fleets of assets, such as trains, machines or buildings. In such industrial fleets, the vast amount of sensors evolves continuously, new sensor data exchange protocols and data formats are introduced, new visualization types may need to be introduced and existing dashboard visualizations may need to be updated in terms of displayed sensors. These requirements motivate the development of dynamic dashboarding applications. These, as opposed to fixed-structure dashboard applications, allow users to create visualizations at will and do not have har

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Karami, Mahtab, and Reza Safdari. "From Information Management to Information Visualization." Applied Clinical Informatics 07, no. 02 (2016): 308–29. http://dx.doi.org/10.4338/aci-2015-08-ra-0104.

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SummaryThe development and implementation of a dashboard of medical imaging department (MID) performance indicators.Several articles discussing performance measures of imaging departments were searched for this study. All the related measures were extracted. Then, a panel of imaging experts were asked to rate these measures with an open ended question to seek further potential indicators. A second round was performed to confirm the performance rating. The indicators and their ratings were then reviewed by an executive panel. Based on the final panel’s rating, a list of indicators to be used wa

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Dixit, Ram A., Stephen Hurst, Katharine T. Adams, et al. "Rapid development of visualization dashboards to enhance situation awareness of COVID-19 telehealth initiatives at a multihospital healthcare system." Journal of the American Medical Informatics Association 27, no. 9 (2020): 1456–61. http://dx.doi.org/10.1093/jamia/ocaa161.

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Abstract The COVID-19 pandemic has led to the rapid expansion of telehealth services as healthcare organizations aim to mitigate community transmission while providing safe patient care. As technology adoption rapidly increases, operational telehealth teams must maintain awareness of critical information, such as patient volumes and wait times, patient and provider experience, and telehealth platform performance. Using a model of situation awareness as a conceptual foundation and a user-centered design approach we describe our process for rapidly developing and disseminating dashboard visualiz

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Stevencua, Stevencua, and Johan Setiawan. "Data Visualization of Poverty Level at Provinces in Indonesia from The year 2013-2015." International Journal of New Media Technology 5, no. 1 (2018): 8–12. http://dx.doi.org/10.31937/ijnmt.v5i1.813.

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The aim of this paper is to create a data visualization that can convey information on poverty distribution of every province in Indonesia and to find a connection with education level. The method used is Eight-step data visualization and data mining methodology. Data for this research are taken from BPS from the year 2013 to 2015. Data collected after the data extracted and cleansing is 6000 records. Time needed to convert data from several publications and put it into one Excel file is 2 weeks. Tableau is chosen as tools for creating the Data Visualization. With this tools, data showed in a

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Janssen, Anna, Candice Donnelly, Judy Kay, et al. "Developing an Intranet-Based Lymphedema Dashboard for Breast Cancer Multidisciplinary Teams: Design Research Study." Journal of Medical Internet Research 22, no. 4 (2020): e13188. http://dx.doi.org/10.2196/13188.

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Background A large quantity of data is collected during the delivery of cancer care. However, once collected, these data are difficult for health professionals to access to support clinical decision making and performance review. There is a need for innovative tools that make clinical data more accessible to support health professionals in these activities. One approach for providing health professionals with access to clinical data is to create the infrastructure and interface for a clinical dashboard to make data accessible in a timely and relevant manner. Objective This study aimed to devel

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Sedrakyan, Gayane, Erik Mannens, and Katrien Verbert. "Guiding the choice of learning dashboard visualizations: Linking dashboard design and data visualization concepts." Journal of Computer Languages 50 (February 2019): 19–38. http://dx.doi.org/10.1016/j.jvlc.2018.11.002.

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Haber, Casey, and Robert Gove. "A Visualization Tool for Analyzing the Suitability of Software Libraries via Their Code Repositories." Electronic Imaging 2020, no. 1 (2020): 387–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.1.vda-387.

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Code repositories are a common way to archive software source code files. Understanding code repository content and history is important but can be difficult due to the complexity of code repositories. Most available tools are designed for users who are actively maintaining a code repository. In contrast, external developers need to assess the suitability of using a software library, e.g. whether its code repository has a healthy level of maintenance, and how much risk the external developers face if they depend on that code in their own project. In this paper, we identify six risks associated

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Chipley, M. Ryan, and Todd Barlow. "Executive Dashboard Widgets: A Performance-Based Comparative Analysis." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51, no. 5 (2007): 454–58. http://dx.doi.org/10.1177/154193120705100506.

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Executive dashboards have become popular in enterprise software applications. Consequently, much advice has been offered by private consulting firms on how best to design dashboards. This paper details a couple of studies testing the advice given by the dashboard experts. The results suggest that some of the notions about how dashboard widgets should be designed might be incorrect. The results indicate that colored widgets are not necessarily inferior to simpler, colorless widgets. Similarly, fancy widgets (i.e., those with three dimensional characteristics) were not demonstrated to be inferio

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Derick, Leony, Gayane Sedrakyan, Pedro J. Munoz-Merino, Carlos Delgado Kloos, and Katrien Verbert. "Evaluating emotion visualizations using AffectVis, an affect-aware dashboard for students." Journal of Research in Innovative Teaching & Learning 10, no. 2 (2017): 107–25. http://dx.doi.org/10.1108/jrit-05-2017-0011.

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Purpose The purpose of this paper is to evaluate four visualizations that represent affective states of students. Design/methodology/approach An empirical-experimental study approach was used to assess the usability of affective state visualizations in a learning context. The first study was conducted with students who had knowledge of visualization techniques (n=10). The insights from this pilot study were used to improve the interpretability and ease of use of the visualizations. The second study was conducted with the improved visualizations with students who had no or limited knowledge of

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Wu, Danny T. Y., Scott Vennemeyer, Kelly Brown, et al. "Usability Testing of an Interactive Dashboard for Surgical Quality Improvement in a Large Congenital Heart Center." Applied Clinical Informatics 10, no. 05 (2019): 859–69. http://dx.doi.org/10.1055/s-0039-1698466.

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Abstract Background Interactive data visualization and dashboards can be an effective way to explore meaningful patterns in large clinical data sets and to inform quality improvement initiatives. However, these interactive dashboards may have usability issues that undermine their effectiveness. These usability issues can be attributed to mismatched mental models between the designers and the users. Unfortunately, very few evaluation studies in visual analytics have specifically examined such mismatches between these two groups. Objectives We aimed to evaluate the usability of an interactive su

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Dowding, Dawn, and Jacqueline Merrill. "The Development of Heuristics for Evaluation of Dashboard Visualizations." Applied Clinical Informatics 09, no. 03 (2018): 511–18. http://dx.doi.org/10.1055/s-0038-1666842.

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Background Heuristic evaluation is used in human–computer interaction studies to assess the usability of information systems. Nielsen's widely used heuristics, first developed in 1990, are appropriate for general usability but do not specifically address usability in systems that produce information visualizations. Objective This article develops a heuristic evaluation checklist that can be used to evaluate systems that produce information visualizations. Principles from Nielsen's heuristics were combined with heuristic principles developed by prior researchers specifically to evaluate informa

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NISHIDA, Kozo, Kazunari KAIZU, and Koichi TAKAHASHI. "A Dashboard Component for Pathway Visualization." Journal of the Visualization Society of Japan 40, no. 156 (2020): 8–13. http://dx.doi.org/10.3154/jvs.40.156_8.

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Mohadjer, Leyla, and Brad Edwards. "Paradata and dashboards in PIAAC." Quality Assurance in Education 26, no. 2 (2018): 263–77. http://dx.doi.org/10.1108/qae-06-2017-0031.

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Purpose This paper aims to provides a brief review of the dashboard literature, an account of the development of performance dashboards for field data collection at Westat, and more specifically for the first cycle of the Programme for the International Assessment of Adult Competencies (PIAAC). A brief concluding section offers suggestions for improvements in survey dashboards for PIAAC’s next cycle. Design/methodology/approach To manage field work at Westat, the authors create views into various paradata databases and present them in a dashboard, showing key performance indicators at a glance

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Lin, Ching-Yi, Fu-Wen Liang, Sheng-Tun Li, and Tsung-Hsueh Lu. "5S Dashboard Design Principles for Self-Service Business Intelligence Tool User." Journal of Big Data Research 1, no. 1 (2018): 5–19. http://dx.doi.org/10.14302/issn.2768-0207.jbr-18-2175.

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Non–information technology (IT) professionals and nonexpert casual users are increasingly adopting self-service business intelligence (SSBI) tools (such as Tableau, Qlik, and Power BI) to create data visualization dashboards. This study identified the most relevant dashboard design principles for SSBI tool users. The research approach included organizing a focus group in which most of the participants were non-IT professionals in health care, extracting recommended principles from the literature, applying these recommended principles by using data on quality of diabetes care to design relevant

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O'Brien, Ann D., and Dan N. Stone. "Yes, You Can Import, Analyze, and Create Dashboards and Storyboards in Tableau! The GBI Case." Journal of Emerging Technologies in Accounting 17, no. 1 (2020): 21–31. http://dx.doi.org/10.2308/jeta-52760.

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ABSTRACT This case introduces students to visualizing accounting data in Tableau. In it, students import data, conduct basic data cleaning, answer client queries, and create visualizations, including dashboards and storyboards. From the case, students learn basic data cleaning and visualization skills. In its final phase, they also learn critical thinking skills from analyzing a business case and creating a dashboard and storyboard to support business decision making. They experience first-hand the exciting processes of understanding, performing, and communicating professional data analytics w

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Ratwani, Raj M., and Allan Fong. "‘Connecting the dots’: leveraging visual analytics to make sense of patient safety event reports." Journal of the American Medical Informatics Association 22, no. 2 (2014): 312–17. http://dx.doi.org/10.1136/amiajnl-2014-002963.

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Abstract An increasing number of healthcare providers are adopting patient safety event reporting systems, yet leveraging these data to improve safety remains a challenge, particularly with large datasets composed of thousands of event reports. A MedStar Health research team, with expertise in data analytics and human factors, developed intuitive visualization dashboards to facilitate data exploration and trend analysis. Dashboards were developed using an iterative design and development process that was end-user focused. A system level dashboard, representing data from multiple hospitals, and

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Khomani, Alian Fathira, and Trias Aditya. "Analitis Geovisual Okupansi Halte dan Pergerakan Penumpang Transjakarta." JGISE: Journal of Geospatial Information Science and Engineering 3, no. 1 (2020): 61. http://dx.doi.org/10.22146/jgise.54785.

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Public eagerness to use Transjakarta as a transport mode has been increasing over the past few years as the ridership growth consistently. To keep the growth up, stakeholders need to understand the passenger behavior by creating an effective operational system so that the passenger satisfaction maintained. An understanding of passenger behavior can be obtained by identifying its pattern and trend which recorded as passenger transaction data. This project uses passenger transaction data which contains information about time and space to produce interactive visualization as a means to identify p

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Sofyan, Herry, and Simon Pulung Nugroho. "PENGEMBANGAN ACADEMIC INFORMATION DASHBOARD EXECUTIVE (A-INDEX) DENGAN PENTAHO DATA INTEGRATION DAN QLIKVIEW." Telematika 13, no. 1 (2016): 17. http://dx.doi.org/10.31315/telematika.v13i1.1716.

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Information Dashboard Executive (INDEX) is a visual representation of data in the form of dashboards that are used to get a snapshot of performance in every business process so as to facilitate the executives took a quick response. Pentaho is a BI application is free open source software (FOSS) and runs on top of the Java platform. QlikView is focused on simplifying decision making for business users across the organization. Processing needs to be able to optimize data analysis functions of PDPT is developing an interactive dashboard visualization data. The dashboard will be built using the da

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Delpish, Ritson, and Steven Jiang. "Visualization of Food Bank/Agency Distribution." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 1879–82. http://dx.doi.org/10.1177/1071181319631260.

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Food banking generates large amount of structured and unstructured data typically stored and reported in spreadsheet format. The growing scale of data storage limit the effectiveness of traditional spreadsheet data exploration methods used by decision makers. Spreadsheets are generally convenient and easy to use for processing data, but less so for big data stores due to limitations such as capacity, computing performance, interactivity, and plotting capability. Visual analytics was proposed as an approach to improve information seeing using data provided by the Food Bank of Central and Easter

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Miller, Meg. "Spatial Analytics Dashboards: Assisting Researchers to Select the Appropriate Tool." Bulletin - Association of Canadian Map Libraries and Archives (ACMLA), no. 167 (April 7, 2021): 43–47. http://dx.doi.org/10.15353/acmla.n167.3645.

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This review provides an overview of the following popular spatial analytics dashboard software: Tableau, PowerBI, ArcGIS Insights, ArcGIS Operations Dashboard and covers optimal use cases for each. Also included is a curriculum for an introductory one-shot instructional session on data literacy and research visualization using Operations Dashboard for ArcGIS in an academic library context.

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Jing, Changfeng, Mingyi Du, Songnian Li, and Siyuan Liu. "Geospatial Dashboards for Monitoring Smart City Performance." Sustainability 11, no. 20 (2019): 5648. http://dx.doi.org/10.3390/su11205648.

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Geospatial dashboards have attracted increasing attention from both user communities and academic researchers since the late 1990s. Dashboards can gather, visualize, analyze and advise on urban performance to support sustainable development of smart cities. We conducted a critical review of the research and development of geospatial dashboards, including the integration of maps, spatial data analytics, and geographic visualization for decision support and real-time monitoring of smart city performance. The research about this kind of system has mainly focused on indicators, information models

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Kadir, Nurul Tiara, Rudy Hartanto, and Selo Sulistyo. "Modified Usability Test Scenario: User Story Approach to Evaluate Data Visualization Dashboard." IJITEE (International Journal of Information Technology and Electrical Engineering) 5, no. 1 (2021): 1. http://dx.doi.org/10.22146/ijitee.61201.

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The data processing results are commonly displayed in a dashboard with various graphic visualization forms to deliver new knowledge easier to understand by users. However, many data analysis dashboards cannot communicate the knowledge effectively and efficiently given the unsuitable design implementation. Therefore, research to measure the interface display's effectiveness in the data analysis system is deemed necessary. This research proposed a scenario modification in the usability test with a user story approach to measuring the system interface display in delivering the information to user

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Tanwir, Taufik Dwi Saputra, and Johan Setiawan. "Visualisasi Perbandingan Anggaran Pendapatan Dan Belanja Daerah (APBD) Pemerintah Provinsi Kabupaten Dan Kota Di Indonesia Periode 2010-2014." Jurnal ULTIMA InfoSys 7, no. 2 (2016): 100–105. http://dx.doi.org/10.31937/si.v7i2.547.

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Regional Income and Expenditure Budget (APBD) is a very important thing in the progress of a region. APBD is an indicator of public welfare level in a region. Data of APBD that is shared on the official website data.go.id is still hard to read and understood, and for that reason the author will compare the budget value of APBD in every province, district, and city by using visualization. The method the author used is Visual Data Mining by creating an APBD visualization dashboard according to provinces, districts, and cities. Tableau Software is used to create the dashboard because Tableau allo

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Bansal, Kshitij. "Wind Turbine Parameters Estimation and Visualization through Dashboard." International Journal for Research in Applied Science and Engineering Technology 9, no. 5 (2021): 1214–20. http://dx.doi.org/10.22214/ijraset.2021.34460.

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Figgemeier, Heiko, Christin Henzen, and Arne Rümmler. "A Geo-Dashboard Concept for the Interactively Linked Visualization of Provenance and Data Quality for Geospatial Datasets." AGILE: GIScience Series 2 (June 4, 2021): 1–8. http://dx.doi.org/10.5194/agile-giss-2-25-2021.

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Abstract. In Earth System Sciences, a data-driven research domain, several communities discuss the importance, guidance and implementation of making research data findable, accessible, interoperable, and reusable. To foster these principles, in particular to support reusability, users need easy-to-use user interfaces with meaningful visualizations for detailed metainformation, e.g. on dataset’s origin and quality. However, visualization tools to facilitate the evaluation of fitness for use of ESS research data on domainspecific metainformation, do hardly exist.We provide a Geo-dashboard concep

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Yu, Sean C., Albert M. Lai, Justin Smyer, et al. "Novel Visualization of Clostridium difficile Infections in Intensive Care Units." ACI Open 03, no. 02 (2019): e71-e77. http://dx.doi.org/10.1055/s-0039-1693651.

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Background Accurate and timely surveillance and diagnosis of health care facility onset Clostridium difficile infection (HO-CDI) is vital to controlling infections within the hospital, but there are limited tools to assist with timely outbreak investigations. Objectives The objective of this study was to integrate spatiotemporal factors with HO-CDI cases and to develop a map-based dashboard to support infection preventionists (IPs) in performing surveillance and outbreak investigations for HO-CDI. Methods Clinical laboratory results and Admit-Transfer-Discharge data for admitted patients over

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Jo, Hyunjei, Chul Kim, and Yongju Cho. "Development of Mobile Dashboard System for Manufacturing Data Visualization." Journal of the Korean Society for Precision Engineering 31, no. 4 (2014): 311–17. http://dx.doi.org/10.7736/kspe.2014.31.4.311.

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Lee, Jang Mee. "A Study on Dashboard Convergence Design for Data Visualization." Korean Society of Science & Art 38, no. 5 (2020): 423–35. http://dx.doi.org/10.17548/ksaf.2020.12.30.423.

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Hamidi, Saidatul Rahah, Anitawati Mohd Lokman, Shuhaida Mohamed Shuhidan, and Muhammad Imran Mohd Nor Hilmi. "CancerMAS Dashboard: Data Visualization of Cancer Cases in Malaysia." Journal of Physics: Conference Series 1529 (April 2020): 022019. http://dx.doi.org/10.1088/1742-6596/1529/2/022019.

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Alhabib, Doaa, Arwa Alumarn, and Saja Alrayes. "Emergency room visualization dashboard user satisfaction in Saudi Arabia." Informatics in Medicine Unlocked 21 (2020): 100493. http://dx.doi.org/10.1016/j.imu.2020.100493.

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Saha, Sudipto, Shashank Shekhar, Sounak Sadhukhan, and Prasun Das. "An analytics dashboard visualization for flood decision support system." Journal of Visualization 21, no. 2 (2017): 295–307. http://dx.doi.org/10.1007/s12650-017-0453-3.

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Lee, Jang Mee. "A Study on Dashboard Convergence Design for Data Visualization." Korean Society of Science & Art 38, no. 5 (2020): 423–35. http://dx.doi.org/10.17548/ksaf.2020.12.30.423.

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Wahi, Monika Maya, and Natasha Dukach. "Visualizing Infection Surveillance Data for Policymaking Using Open Source Dashboarding." Applied Clinical Informatics 10, no. 03 (2019): 534–42. http://dx.doi.org/10.1055/s-0039-1693649.

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Background Health care-associated infections, specifically catheter-associated urinary tract infections (CAUTIs), can cause significant mortality and morbidity. However, the process of collecting CAUTI surveillance data, storing it, and visualizing the data to inform health policy has been fraught with challenges. Objectives No standard has been developed, so the objective of this article is to present a prototype solution for dashboarding public health surveillance data based on a real-life use-case for the purposes of enhancing clinical and policy-level decision-making. Methods The solution

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Gaol, Ford Lumban, Lufty Abdillah, and Tokuro Matsuo. "Adoption of Business Intelligence to Support Cost Accounting Based Financial Systems — Case Study of XYZ Company." Open Engineering 11, no. 1 (2020): 14–28. http://dx.doi.org/10.1515/eng-2021-0002.

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AbstractXYZ is a company engaged in the port sector. To support the company’s business processes, XYZ uses two applications to carry out operational activities, namely the CARTOS application to manage invoices and the Finance application to record company costs and revenues. To produce a cost accounting report, XYZ is still processing and visualizing it manually with data sources from the two applications mentioned earlier. This resulted in quite a long time processing data into information. So that reporting to management cannot be done in real time. Therefore XYZ needs a system that can help

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Gusta, Immanuel Luigi Da, and Johan Setiawan. "Data Visualization Indicator Disease (Malaria, Dengue Fever, and Measles) in The Year 2012-2015." International Journal of New Media Technology 4, no. 2 (2017): 87–93. http://dx.doi.org/10.31937/ijnmt.v4i2.785.

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The aim of this paper are: to create a data visualization that can assist the Government in evaluating the return on the development of health facilities in the region and province area in term of human resources for medical personnel, to help community knowing the amount of distribution of hospitals with medical personnel in the regional area and to map disease indicator in Indonesia. The issue of tackling health is still a major problem that is not resolved by the Government of Indonesia. There are three big things that become problems in the health sector in Indonesia: infrastructure has no

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Levy, Mia Alyce, Jeremy Warner, Neal Sanders, et al. "A breast analytics dashboard to allow near-real-time visualization of quality assurance data." Journal of Clinical Oncology 32, no. 30_suppl (2014): 186. http://dx.doi.org/10.1200/jco.2014.32.30_suppl.186.

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186 Background: Quality metrics for internal use (e.g. quality improvement; quality assurance [QA/QI] activities) and external use (e.g. accreditation; national quality reporting) are currently primarily obtained through retrospective manual data abstraction on subsets of patients, at a majority of cancer centers. Real-time QA/QI of all patients is attractive but requires collection of electronic data from disparate clinical systems that are rarely fully interoperable. We developed a dashboard to aggregate relevant clinical information in near real-time for QA/QI visualizations. Methods: Table

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Clarke, Karla, Yair Levy, Laurie Dringus, and Shonda Brown. "How workplace satisfaction affects insider threat detection as a vital variable for the mitigation of malicious cyber insiders." Online Journal of Applied Knowledge Management 7, no. 1 (2019): 40–52. http://dx.doi.org/10.36965/ojakm.2019.7(1)40-52.

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Insider threat mitigation is a growing challenge within organizations. The development of a novel alert visualization dashboard for the identification of potentially malicious cyber insider threats was identified as necessary to alleviate this challenge. This research developed a cyber insider threat dashboard visualization prototype for detecting potentially malicious cyber insider activities QUICK.v™. This study utilized Subject Matter Experts (SMEs) by applying the Delphi Method to identify the most critical cyber visualization variables and ranking. This paper contains the detailed results

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Darari, Fariz. "COVIWD: COVID-19 Wikidata Dashboard." Jurnal Ilmu Komputer dan Informasi 14, no. 1 (2021): 39–47. http://dx.doi.org/10.21609/jiki.v14i1.941.

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COVID-19 (short for coronavirus disease 2019) is an emerging infectious disease that has had a tremendous impact on our daily lives. Globally, there have been over 95 million cases of COVID-19 and 2 million deaths across 191 countries and regions. The rapid spread and severity of COVID-19 call for a monitoring dashboard that can be developed quickly in an adaptable manner. Wikidata is a free, collaborative knowledge graph, collecting structured data about various themes, including that of COVID-19. We present COVIWD, a COVID-19 Wikidata dashboard, which provides a one-stop information/visualiz

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Angelia Destriana, Kristoko Dwi Hartomo, and Hanna Prillysca Chernovita. "Visualization of Sales Field Activity Data Using Operations Dashboard for ArcGIS." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 4, no. 4 (2020): 697–703. http://dx.doi.org/10.29207/resti.v4i4.2096.

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The process of manually recording and visualizing data that has high and complicated transaction rates, is no longer relevant for analyzing errors that often occur in company. The impact is the information generated becomes inaccurate in decision making. Problems that are often experienced by companies in visualizing data are non-real-time, non-integrated data, and irregular data visualization. In an effort to minimize problems such as real-time, not integrated, and irregular data visualization, the role of data visualization is needed to improve company performance. Based on these problems th

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Bumblauskas, Daniel, Herb Nold, Paul Bumblauskas, and Amy Igou. "Big data analytics: transforming data to action." Business Process Management Journal 23, no. 3 (2017): 703–20. http://dx.doi.org/10.1108/bpmj-03-2016-0056.

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Purpose The purpose of this paper is to provide a conceptual model for the transformation of big data sets into actionable knowledge. The model introduces a framework for converting data to actionable knowledge and mitigating potential risk to the organization. A case utilizing a dashboard provides a practical application for analysis of big data. Design/methodology/approach The model can be used both by scholars and practitioners in business process management. This paper builds and extends theories in the discipline, specifically related to taking action using big data analytics with tools s

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Fernandez-Lozano, Carlos, and Francisco Cedron. "Shiny Dashboard for Monitoring the COVID-19 Pandemic in Spain." Proceedings 54, no. 1 (2020): 23. http://dx.doi.org/10.3390/proceedings2020054023.

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Real-time monitoring of events such as the recent pandemic caused by COVID-19, as well as the visualization of the effects produced by its expansion, has highlighted the need to join forces in fields already widely used to working hand in hand, such as medicine, biology and information technology. Our dashboard is developed in R and is supported by the Shiny package to generate an attractive visualization tool: COVID-19 Spain automatically produces daily updates from official sources (Carlos III Research Institute and Ministry of Health, Consumer Affairs and Welfare) in cases, deaths, recovere

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Mehta, Akul Y., and Richard D. Cummings. "GLAD: GLycan Array Dashboard, a visual analytics tool for glycan microarrays." Bioinformatics 35, no. 18 (2019): 3536–37. http://dx.doi.org/10.1093/bioinformatics/btz075.

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Abstract Motivation Traditional glycan microarray data is typically presented as excel files with limited visualization and interactivity. Thus, comparisons and analysis of glycan array data have been difficult, and there is need for a tool to facilitate data mining of glycan array data. Results GLAD (GLycan Array Dashboard) is a web-based tool to visualize, analyze, present and mine glycan microarray data. GLAD allows users to input multiple data files to create comparisons. GLAD extends the capability of the microarray data to produce more comparative visualizations in the form of grouped ba

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da Silva Franco, Roberto Yuri, Rodrigo Santos do Amor Divino Lima, Rafael do Monte Paixão, Carlos Gustavo Resque dos Santos, and Bianchi Serique Meiguins. "UXmood—A Sentiment Analysis and Information Visualization Tool to Support the Evaluation of Usability and User Experience." Information 10, no. 12 (2019): 366. http://dx.doi.org/10.3390/info10120366.

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This paper presents UXmood, a tool that provides quantitative and qualitative information to assist researchers and practitioners in the evaluation of user experience and usability. The tool uses and combines data from video, audio, interaction logs and eye trackers, presenting them in a configurable dashboard on the web. The UXmood works analogously to a media player, in which evaluators can review the entire user interaction process, fast-forwarding irrelevant sections and rewinding specific interactions to repeat them if necessary. Besides, sentiment analysis techniques are applied to video

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오형용. "Implementation of Election Campaign Social Media Analyzation Dashboard for Information Visualization." Korean Journal of Art and Media 12, no. 3 (2013): 147–66. http://dx.doi.org/10.36726/cammp.2013.12.3.147.

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Meenakshi, R., G. Jayalekshmi, S. Hariram, Shiju Sathyadevan, and M. G. Thushara. "Visualization with Charting Library Based on SVG for Amrita Dynamic Dashboard." Procedia Computer Science 58 (2015): 371–79. http://dx.doi.org/10.1016/j.procs.2015.08.036.

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Lim, Kyu Yon, Hae June Kim, Jisoo Choi, and Yoon Jin Kim. "Usability test of learner dashboard: Visualization of multi-dimensional interaction information." Korean Association for Educational Information and Media 26, no. 2 (2020): 395–424. http://dx.doi.org/10.15833/kafeiam.26.2.395.

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Sulaiman, Noor Suhani, and Jamaiah H. Yahaya. "Development of Dashboard Visualization for Cardiovascular Disease based on Star Scheme." Procedia Technology 11 (2013): 455–62. http://dx.doi.org/10.1016/j.protcy.2013.12.215.

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Goguelin, Steven, Joseph M. Flynn, Wesley P. Essink, and Vimal Dhokia. "A Data Visualization Dashboard for Exploring the Additive Manufacturing Solution Space." Procedia CIRP 60 (2017): 193–98. http://dx.doi.org/10.1016/j.procir.2017.01.016.

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Jakubiec, J. Alstan, Max C. Doelling, Oliver Heckmann, Ramkumar Thambiraj, and Vedashree Jathar. "Dynamic Building Environment Dashboard: Spatial Simulation Data Visualization in Sustainable Design." Technology|Architecture + Design 1, no. 1 (2017): 27–40. http://dx.doi.org/10.1080/24751448.2017.1292791.

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