scholarly journals Replication Data Management: Needs and Solutions -- An Initial Evaluation of Conceptual Approaches for Integrating Heterogeneous Replication Study Data

2013 ◽  
Author(s):  
Stefan Biffl ◽  
Estefania Serral ◽  
Dietmar Winkler ◽  
Nelly Condori-Fernandez ◽  
Oscar Dieste ◽  
...  
Keyword(s):  
Data Management ◽  
Study Data ◽  
Initial Evaluation ◽  
Replication Study

Integration of Web-based and PC-based Clinical Research Databases

2004 ◽  
Vol 43 (03) ◽  
pp. 287-295 ◽  
Author(s):  
K. Sun ◽  
P. Charpentier ◽  
P. M. Nadkarni ◽  
C. A. Brandt
Keyword(s):  
Data Management ◽  
Study Data ◽  
Management Systems ◽  
Measurement Instruments ◽  
Web Based ◽  
Metadata Model ◽  
Major Benefit ◽  
Operating Environments ◽  
Data Library ◽  
Cross Fertilization

SummaryWe have created a Web-based repository or data library of information about measurement instruments used in studies of multi-factorial geriatric health conditions (the Geriatrics Research Instrument Library – GRIL) based upon existing features of two separate clinical study data management systems. GRIL allows browsing, searching, and selecting measurement instruments based upon criteria such as keywords and areas of applicability. Measurement instruments selected can be printed and/or included in an automatically generated standalone microcomputer database application, which can be downloaded by investigators for use in data collection and data management. Methods: Integration of database applications requires the creation of a common semantic model, and mapping from each system to this model. Various database schema conflicts at the table and attribute level must be identified and resolved prior to integration. Using a conflict taxonomy and a mapping schema facilitates this process. Results: Critical conflicts at the table level that required resolution included name and relationship differences. Conclusions: A major benefit of integration efforts is the sharing of features and cross-fertilization of applications created for similar purposes in different operating environments. Integration of applications mandates some degree of metadata model unification.

scholarly journals Newborn screening data management: proposing a framework for Iran

2018 ◽  
Vol 25 (4) ◽  
pp. 221-229 ◽  
Author(s):  
Haleh Ayatollahi ◽  
Sara Karimi ◽  
Maryam Ahmadi
Keyword(s):  
Child Health ◽  
Data Collection ◽  
Newborn Screening ◽  
Data Management ◽  
Study Data ◽  
Classification Systems ◽  
Department Of Health ◽  
Conducting Research ◽  
Data Elements

IntroductionDifferent countries use a variety of methods to manage the newborn screening data. In this study, we aimed to compare the experiences of the selected countries to propose a framework for managing the newborn screening data in Iran.MethodsIn this comparative study, data were collected using electronic databases and the official website of the Department of Health in America, England and Australia. Data related to the process of newborn screening in Iran were collected using an open-ended questionnaire and reviewing the published documents.ResultsIn this study, a framework for newborn screening data management was proposed which consisted of six main areas, namely; objectives, involved organisations, data elements, data collection processes, data classification systems and the methods of controlling data quality.ConclusionThe framework suggested in this study can help to re-organise the process of newborn screening with more focus on data management. These data can be used in conducting research and setting strategies for improving the quality of child health in the country.

scholarly journals 161 The NeuroStar Outcomes Registry

CNS Spectrums ◽  
2018 ◽  
Vol 23 (1) ◽  
pp. 98-98
Author(s):  
Miriam Mina ◽  
David G. Brock ◽  
W. Scott West ◽  
Todd Hutton ◽  
Kenneth P. Pages ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Management ◽  
Management System ◽  
Large Scale ◽  
Remission Rate ◽  
Severity Of Illness ◽  
Study Data ◽  
Data Management System ◽  
Patient Treatment ◽  
Open Label

AbstractThe NeuroStar Outcomes RegistryObjectiveNeuroStar transcranial magnetic stimulation (TMS) is an effective acute treatment for patients with major depressive disorder (MDD). In order to further understand use of the NeuroStar in a clinical setting, Neuronetics has established a patient treatment and outcomes registry to collect and analyze utilization information on patients receiving treatment with the NeuroStar.MethodsIndividual NeuroStar providers are invited to participate in the registry and agree to provide their de-identified patient treatment data. The NeuroStar has an integrated electronic data management system (TrakStar) which allows for the data collection to be automated. The data collected for the registry include Demographic Elements (age, gender), Treatment Parameters, and Clinical Ratings. Clinical assessments are: Clinician Global Impression - Severity of Illness (CGI-S) and thePatient Health Questionnaire 9-item (PHQ-9). De-identified patient data is uploaded to Registry server; an independent statistical service then creates final data reports.ResultsOver 500 patients have entered the NeuroStar Outcomes Registry since Sept 2016. Mean patient age: 48.0 (SD±16.0); 64% Female. Baseline PHQ-9, mean 18.8 (SD±5.0.) Response/Remission Rate, PHQ-9: 61%/33% CGI-S: 78%/59%.ConclusionsFor the initial 500 patients in the Outcomes Registry, approximately 2/3 patients achieve respond and 1/3 patients achieve remission with an acute course of NeuroStar. These treatment outcomes consistent with NeuroStar open-label study data (Carpenter, 2012). The TrakStar data management system makes large scale data collection feasible. The NeuroStarOutcomes Registry is ongoing, and expected to reach 6000 outpatients from more than 47 clinical sites in 36 months.Funding AcknowledgementsNeuronetics, Inc.

scholarly journals Antecedents and outcomes of satisfaction in buyer–supplier relationships in South Africa: A replication study

2017 ◽  
Vol 20 (1) ◽  
Author(s):  
Mornay Roberts-Lombard ◽  
Mercy Mpinganjira ◽  
Göran Svensson
Keyword(s):  
South Africa ◽  
South African ◽  
Structural Equation ◽  
Study Data ◽  
Replication Study ◽  
Business Managers ◽  
Supplier Relationships ◽  
Replication Studies ◽  
B2b Relationships ◽  
Business Customers

Background: There is a clear difference of opinion amongst researchers on the interrelatedness of the variables trust, commitment, satisfaction, coordination, cooperation and continuity in a business-to-business (B2B) environment. The reason is that in previous studies much emphasis has been placed on creating and testing new theories, and not on providing practical generalities.Aim: The aim of this study was to determine how the variable satisfaction is positioned in relation to trust and commitment, and how satisfaction relates to the variables coordination, cooperation and continuity in a South African B2B environment.Setting: This study replicates a similar study conducted in 2013 in a B2B environment in South Africa and hopes to validate the outcome of that study by determining the relationship between the constructs postulated in the current study. The relationships between the different constructs in the proposed model will, therefore, provide a longitudinal perspective which is unique in terms of B2B research in South Africa.Methods: Both the original and replication studies followed a quantitative approach and targeted large companies in South Africa. In the original study, data were collected from 500 large South African companies, while in the replication study data were collected from 250 large companies. Structural equation modelling was used to analyse the data.Results: The findings specifically point to the need for organisations to direct resources towards the establishment of relationships that are founded on trust and commitment. Doing so will help ensure increased satisfaction, which, in turn, will result in greater coordination and cooperation in B2B relationships as well as long-term continuation of the relationship.Conclusion: The foundation for strong B2B relationships is to secure customer satisfaction. Business managers ought to understand that when business customers are dissatisfied, it can result in the discontinuation of the business relationship.

An initial evaluation of research data management online training at the University of New South Wales

IFLA Journal ◽  
2021 ◽  
pp. 034003522110541
Author(s):  
Adrian W Chew ◽  
Cherry Zin Oo ◽  
Adeline LH Wong ◽  
Joanne Gladding
Keyword(s):  
Data Management ◽  
New South ◽  
New South Wales ◽  
Online Training ◽  
Management Training ◽  
Research Data ◽  
Initial Evaluation ◽  
Research Data Management ◽  
South Wales ◽  
The University

In response to low research data management engagement at the University of New South Wales, Australia, an introductory research data management online training was developed and rolled out to all newly enrolled Higher Degree Research candidates. This article outlines the development process of the research data management online training and provides an initial evaluation of the training from the perspectives of the candidates and the university. As such, this article joins up with existing literature on research data management training to assist institutions and research data management stakeholders with the development of research data management training to help researchers and research students enact research data management best practices. Overall, the majority of the candidates ( n = 643) were satisfied with the quality of the training and found it helpful. The benefits the training brought to the university are mapped out by linking institutional research data management problems, the research data management online training’s design and findings into a coherent narrative.

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