Modeling the Dashboard Provenance

Organizations of all kinds, whether public or private, profit-driven or non-profit, and across various industries and sectors, rely on dashboards for effective data visualization. However, the reliability and efficacy of these dashboards rely on the quality of the visual and data they present. Studies show that less than a quarter of dashboards provide information about their sources, which is just one of the expected metadata when provenance is seriously considered. Provenance is a record that describes people, organizations, entities, and activities that had a role in the production, influence, or delivery of a piece of data or an object. This paper aims to provide a provenance representation model, that entitles standardization, modeling, generation, capture, and visualization, specifically designed for dashboards and its visual and data components. The proposed model will offer a comprehensive set of essential provenance metadata that enables users to evaluate the quality, consistency, and reliability of the information presented on dashboards. This will allow a clear and precise understanding of the context in which a specific dashboard was developed, ultimately leading to better decision-making.Comment: 8 pages, 4 figures, one table, to be published in VIS 2023 (Vis + Prov) x Domai

Support methodology for product quality assurance: a case study in a company of the automotive industry

A visual management system aims to convert relevant information from the organization, the clients and the performance, for robust communication between all organization human resources through a set of suitable visual tools. Visual management makes part of the Lean Manufacturing methodology since it helps to highlight problems or wastes and assists in performing tasks. Among the visual management tools, the dashboard is defined as an interactive tool that presents a set of relevant information for the purpose of achieving organizational goals and strategies. The dashboard allows the monitoring and spread of relevant information to support tasks performing and decision-making. This paper presents a case study performed in an automotive company whose main objective was to simplify and standardize the collection and analysis of information concerning the product audit process, as well as improve the communication system between employees and departments involved, through the development and implementation of a dashboard. In order to achieve the intended objective, the case study involved: the definition of the information to be available in the dashboard for the audits; the development of a template to present the information briefly and clearly; identification of the necessary resources and connections for the correct operation of the dashboard (with real-time updates); definition of the process of information collecting and analysis, and the consequent connection with the problem solving process. The implementation of the dashboard allowed an increase in the reliability of the results and a significant reduction in the steps to analyze the data and, consequently, in their duration. In this way, the dashboard simplified and improved decision-making process and created a conducive environment for the departments involved in the quality audit process to perform the associated tasks.FCT - Fundação para a Ciência e a Tecnologia(UID/CEC/00319/2019

Mindcontrol: a web application for brain segmentation quality control

Tissue classification plays a crucial role in the investigation of normal neural development, brain-behavior relationships, and the disease mechanisms of many psychiatric and neurological illnesses. Ensuring the accuracy of tissue classification is important for quality research and, in particular, the translation of imaging biomarkers to clinical practice. Assessment with the human eye is vital to correct various errors inherent to all currently available segmentation algorithms. Manual quality assurance becomes methodologically difficult at a large scale - a problem of increasing importance as the number of data sets is on the rise. To make this process more efficient, we have developed Mindcontrol, an open-source web application for the collaborative quality control of neuroimaging processing outputs. The Mindcontrol platform consists of a dashboard to organize data, descriptive visualizations to explore the data, an imaging viewer, and an in-browser annotation and editing toolbox for data curation and quality control. Mindcontrol is flexible and can be configured for the outputs of any software package in any data organization structure. Example configurations for three large, open-source datasets are presented: the 1000 Functional Connectomes Project (FCP), the Consortium for Reliability and Reproducibility (CoRR), and the Autism Brain Imaging Data Exchange (ABIDE) Collection. These demo applications link descriptive quality control metrics, regional brain volumes, and thickness scalars to a 3D imaging viewer and editing module, resulting in an easy-to-implement quality control protocol that can be scaled for any size and complexity of study

Technical support for Life Sciences communities on a production grid infrastructure

Production operation of large distributed computing infrastructures (DCI) still requires a lot of human intervention to reach acceptable quality of service. This may be achievable for scientific communities with solid IT support, but it remains a show-stopper for others. Some application execution environments are used to hide runtime technical issues from end users. But they mostly aim at fault-tolerance rather than incident resolution, and their operation still requires substantial manpower. A longer-term support activity is thus needed to ensure sustained quality of service for Virtual Organisations (VO). This paper describes how the biomed VO has addressed this challenge by setting up a technical support team. Its organisation, tooling, daily tasks, and procedures are described. Results are shown in terms of resource usage by end users, amount of reported incidents, and developed software tools. Based on our experience, we suggest ways to measure the impact of the technical support, perspectives to decrease its human cost and make it more community-specific.Comment: HealthGrid'12, Amsterdam : Netherlands (2012

CloudHealth: A Model-Driven Approach to Watch the Health of Cloud Services

Cloud systems are complex and large systems where services provided by different operators must coexist and eventually cooperate. In such a complex environment, controlling the health of both the whole environment and the individual services is extremely important to timely and effectively react to misbehaviours, unexpected events, and failures. Although there are solutions to monitor cloud systems at different granularity levels, how to relate the many KPIs that can be collected about the health of the system and how health information can be properly reported to operators are open questions. This paper reports the early results we achieved in the challenge of monitoring the health of cloud systems. In particular we present CloudHealth, a model-based health monitoring approach that can be used by operators to watch specific quality attributes. The CloudHealth Monitoring Model describes how to operationalize high level monitoring goals by dividing them into subgoals, deriving metrics for the subgoals, and using probes to collect the metrics. We use the CloudHealth Monitoring Model to control the probes that must be deployed on the target system, the KPIs that are dynamically collected, and the visualization of the data in dashboards.Comment: 8 pages, 2 figures, 1 tabl

Validation D’un Questionnaire De Satisfaction Évaluant La Qualité Des Services Dans Les Hôpitaux De La Région Du Grand Casablanca

The patient satisfaction measurement provides a new perspective for analyzing the performance of health services. Surveys of "satisfaction" are a source of valuable data on outcomes and care processes to enable decision makers to improve the quality of service and better meet the expectations of patients. It is essential to have appropriate collection tools that meet the requirements and methodological rigor. There are very few valid tools for measuring the perception of patients with respect to the quality of care that integrate the specificities of the Moroccan hospital setting. We considered the reliability and degree of validity of a questionnaire used to measure perceptions vis-à-vis the quality of service patients in the Moroccan context using the Cronbach alpha coefficient correlation analysis inter items. The questionnaire showed good internal consistency of four dimensions: Cronbach Alpha> 0.7, indicating good reliability and correlation <0,6 marks independence between the dimensions or construct validity. The survey also has a good acceptability. Scores calculated dimensions can be used as an indicator in a dashboard of hospital performance ,but the adoption of an iterative development process and validation is recommended

Mapping Varieties of Industrial Relations: Eurofound\u27s Analytical Framework Applied

Eurofound’s 2016 report Mapping key dimensions of industrial relations identified four key dimensions of industrial relations: industrial democracy, industrial competitiveness, social justice, and quality of work and employment. This report builds upon that earlier study, developing a dashboard of 45 indicators to assess how and to what extent the conceptual framework of these key dimensions can be applied at national level. The indicators were tested across the Member States by Eurofound’s Network of European Correspondents and show reasonable accuracy when used to map the predominant features and trends of the national industrial relations systems. The study confirms that a dashboard of indicators that can accurately measure and summarise the complex reality of industrial relations across the EU is a valuable tool for comparative research and a useful instrument for supporting policymakers, social partners and stakeholders. The report sets out a range of options for further developing this conceptual approach

Health monitoring of federated future internet experimentation facilities

The federation of Future Internet testbeds as envisaged by the Fed4FIRE project is a complex undertaking. It combines a large number of existing, independent testbeds in a single federation, and presents them to the experimenter as if it were a single infrastructure. Operating and using such an infrastructure requires a profound knowledge of the status of the health of the underlying independent systems. Inspired by network monitoring techniques used to operate the Internet today, this paper considers how a centralized health monitoring system can be set up in a federated environment of Future Internet Experimentation Facilities. We show why it is a vital tool for experimenters and First Level Support in the federation, which health monitoring information must be captured, and how this information can be displayed most appropriately

EFFECTIVE COST ANALYSIS TOOLS OF THE ACTIVITY-BASED COSTING (ABC) METHOD

This article focuses on cost analysis and specific tools of Activity-Based Costing(ABC) method. After presenting the main categories of operating costs of ABC method it isswitching to presenting the most important tools for monitoring and measuring performance, suchas the dashboard, balanced scorecard, benchmarking etc. Components and benefits and thepresentation of these situations are highlighted. The article ends with the conclusions of authorsabout analysis of these instruments also the advantages of them, the authors advocating the use ofthese types, since they represent advanced cases of analysis of performance derived from an assetthat unit would be successfully applied in Romania.dashboard, balanced scorecard, benchmarking, Activity-Based Costing, performance.