Implementation Of Data Management System Research Articles

Data Management in Multicountry Consortium Studies: The Enterics For Global Health (EFGH) Shigella Surveillance Study Example.

Rigorous data management systems and planning are essential to successful research projects, especially for large, multicountry consortium studies involving partnerships across multiple institutions. Here we describe the development and implementation of data management systems and procedures for the Enterics For Global Health (EFGH) Shigella surveillance study-a 7-country diarrhea surveillance study that will conduct facility-based surveillance concurrent with population-based enumeration and a health care utilization survey to estimate the incidence of Shigella--associated diarrhea in children 6 to 35 months old. The goals of EFGH data management are to utilize the knowledge and experience of consortium members to collect high-quality data and ensure equity in access and decision-making. During the planning phase before study initiation, a working group of representatives from each EFGH country site, the coordination team, and other partners met regularly to develop the data management systems for the study. This resulted in the Data Management Plan, which included selecting REDCap and SurveyCTO as the primary database systems. Consequently, we laid out procedures for data processing and storage, study monitoring and reporting, data quality control and assurance activities, and data access. The data management system and associated real-time visualizations allow for rapid data cleaning activities and progress monitoring and will enable quicker time to analysis. Experiences from this study will contribute toward enriching the sparse landscape of data management methods publications and serve as a case study for future studies seeking to collect and manage data consistently and rigorously while maintaining equitable access to and control of data.

Design and Implementation of Data Management System for Lightning Protection Inspection Based on Android

In order to ensure the safety of buildings, equipment, personnel, property and production, to prevent or mitigate the disasters caused by lightning and static electricity, and to avoid the occurrence of serious lightning accidents, lightning protection inspection (acceptance) is of great significance. At present, in the process of inspection (acceptance) of lightning protection devices, there are following problems: professional and technical equipment for inspection is various and with different performances; the market demand for lightning-proof safety inspection is large, and entrusted units are increasing; the inspection process is difficult to be accurately obtained anytime and anywhere. Therefore, it is proposed to adopt technology of mobile application, wireless network transmission and computer software development to design and develop a data management system for lightning protection inspection based on Android, so as to realize the functions like real-time and comprehensive information management of professional lightning-proof inspection devices and entrusted units and establishment of electronic files for lightning-proof inspection of all projects.

Electronic document processing operating map development for the implementation of the data management system in a scientific organization

The implementation of electronic data management system (EDMS) is a pressing issue not only for commercial organizations, but also for scientific organizations and laboratories with a large flow of unstructured information. Competent automation of data processing and analysis allows to significantly reduce labor costs for the entire cycle of incoming materials processing. To implement such system within a large scientific organization engaged in various multidisciplinary research on a wide range of areas, it is necessary to solve the problem of optimizing the processes of classification, abstracting the incoming material flow, and conducting its factographic analysis.This paper presents a model of system of scientific materials processing and electronic data management within a scientific organization. The article describes the processes occurring at each diagram stage, as well as the roles of operators.

Data management for early hearing detection and intervention in South Africa

Introduction: Internationally, newborn hearing screening is becoming part of standard neonatal healthcare service guidelines for the implementation of early hearing detection and intervention (EHDI) initiatives, including screening, diagnosis, data management and intervention. Data management includes the processes of data collection and storage thereof, as well as analysis and interpretation of data to guide the future planning, implementation and evaluation of EHDI programmes. There have been limited studies on data management in the South African EHDI context.Methods: The aim of this study was to determine the type of data management systems in use in South Africa and whether they allow for cross-disciplinary sharing and evaluation of the EHDI processes. A survey instrument on the management of EHDI data was developed and sent to HI HOPES referral agents in both public and private sectors.Results: A return rate of 80% was achieved, with 19 (59%) public sector and 13 (41%) private sector audiologists participating in the study. The data revealed that there was no uniform data management system in use nationally, and no consistent shared system within the public or private sectors. The majority of respondents (44%) used a paper-based system for data recording. No institutions were using data management systems that enabled sharing of information with other medical professionals.Conclusion: Data management and tracking of the pathway from screening to diagnosis to intervention is necessary to ensure quality care and outcomes for children identified with hearing loss. International studies reveal the importance of effective implementation of data management systems; however, to date these have focussed on developed country contexts. Data management challenges identified in this study reflect international challenges as well as challenges unique to a developing country context.

A Scalable Data Access Layer to Manage Structured Heterogeneous Biomedical Data.

This work presents a scalable data access layer, called PyEHR, designed to support the implementation of data management systems for secondary use of structured heterogeneous biomedical and clinical data. PyEHR adopts the openEHR’s formalisms to guarantee the decoupling of data descriptions from implementation details and exploits structure indexing to accelerate searches. Data persistence is guaranteed by a driver layer with a common driver interface. Interfaces for two NoSQL Database Management Systems are already implemented: MongoDB and Elasticsearch. We evaluated the scalability of PyEHR experimentally through two types of tests, called “Constant Load” and “Constant Number of Records”, with queries of increasing complexity on synthetic datasets of ten million records each, containing very complex openEHR archetype structures, distributed on up to ten computing nodes.

Design of a web-based GNSS data management system at HartRAO: preliminary results

The Space Geodesy Programme of the Hartebeesthoek Radio Astronomy Observatory (HartRAO) is actively engaged in improving the African Earth and Ocean Monitoring Network (sub-project 1.1 of Inkaba yeAfrica) by installing geodetic, oceanographic and geophysics stations across the Sub-Saharan region and Southern ocean. This forms part of the drive to monitor different geophysical parameters via denser networks and with increasing accuracies, so as to better our understanding of the Earth system. The instruments being deployed include Global Navigation Satellite Systems (GNSS) stations, tide-gauges, seismic stations and meteorological units. There are four main space geodetic techniques collocated at HartRAO, making it a fiducial site in Africa. These techniques are GNSS, Satellite Laser Ranging (SLR), Very Long Baseline Interferometry (VLBI) and Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS). It is important to ensure that all the collected raw scientific data as well as the derived data products are accessible in a user-friendly manner. Additionally, a new data management system needs to be implemented at HartRAO in order to ensure data integrity. This paper focuses on the implementation of a GNSS data management system. The automated system for the pre-processing and post-processing of GNSS data and other derived products are presented. The data products are then visualized utilizing an interactive web-based map. These scientific products are important in understanding processes that occur on planet Earth such as plate motion, crustal deformation and weather patterns. The implementation of this data management system will facilitate the monitoring of these processes.

Design and Implementation of Data Management System for Low-Voltage Electrical Performance Test Based on Virtual Instrument Technology

Low voltage electrical apparatus is the electrical appliances which play the role of on-off, control or protection in the circuit of AC voltage to the 1200V, DC voltage to1500V. The function of it will have a direct impact on the safe and reliable operation of the power system and industrial control system. It is needed to carry out an accurate test on the each function of them before they leave the factory. In order to ensure the accurate of the test data, it is worth studying on how to build a test data management system for low voltage electrical apparatus. Through LabVIEW establish a connection to the Access database technology. An independent data management system is developed.

Implementation of an electronic patient data management system (PDMS) on an intensive care unit (ICU)

Implementation of a data management system on an Intensive Care Unit (ICU) needs a good organisation. The expectations and the specifications of the system should be defined and clear before the process is started. Analysis of produced data of communication and information pathways on the ICU is necessary. A complete system should include data acquisition, data base management and archiving of data. In our project, the development of these criteria was performed by participation in a national project. Coupling with a hospital information system and the possibility of data exchange is mandatory. We were able to implement a paperless patient record. Although it takes more time to do the patients administration with a Patient Data Management System (PDMS), medical personal seem to be better informed. Readable information is easy to access at the bedside of the patient.