The Experts below are selected from a list of 591849 Experts worldwide ranked by ideXlab platform
Jose G Conde - One of the best experts on this subject based on the ideXlab platform.
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procurement of shared Data instruments for research Electronic Data capture redcap
Journal of Biomedical Informatics, 2013Co-Authors: Jihad S Obeid, Jose G Conde, Catherine Mcgraw, Brenda L Minor, Robert Pawluk, Michael Lin, Janey Wang, Sean R Banks, Sheree A Hemphill, Robert W TaylorAbstract:REDCap (Research Electronic Data Capture) is a web-based software solution and tool set that allows biomedical researchers to create secure online forms for Data capture, management and analysis with minimal effort and training. The Shared Data Instrument Library (SDIL) is a relatively new component of REDCap that allows sharing of commonly used Data collection instruments for immediate study use by research teams. Objectives of the SDIL project include: (1) facilitating reuse of Data dictionaries and reducing duplication of effort; (2) promoting the use of validated Data collection instruments, Data standards and best practices; and (3) promoting research collaboration and Data sharing. Instruments submitted to the library are reviewed by a library oversight committee, with rotating membership from multiple institutions, which ensures quality, relevance and legality of shared instruments. The design allows researchers to download the instruments in a consumable Electronic format in the REDCap environment. At the time of this writing, the SDIL contains over 128 Data collection instruments. Over 2500 instances of instruments have been downloaded by researchers at multiple institutions. In this paper we describe the library platform, provide detail about experience gained during the first 25months of sharing public domain instruments and provide evidence of impact for the SDIL across the REDCap consortium research community. We postulate that the shared library of instruments reduces the burden of adhering to sound Data collection principles while promoting best practices.
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research Electronic Data capture redcap a metaData driven methodology and workflow process for providing translational research informatics support
Journal of Biomedical Informatics, 2009Co-Authors: Paul A Harris, Robert W Taylor, Robert Thielke, Jonathon Payne, Nathaniel Gonzalez, Jose G CondeAbstract:Research Electronic Data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of Electronic Data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metaData-driven software toolset; (2) detail concerning the capture and use of study-related metaData from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
Robert W Taylor - One of the best experts on this subject based on the ideXlab platform.
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procurement of shared Data instruments for research Electronic Data capture redcap
Journal of Biomedical Informatics, 2013Co-Authors: Jihad S Obeid, Jose G Conde, Catherine Mcgraw, Brenda L Minor, Robert Pawluk, Michael Lin, Janey Wang, Sean R Banks, Sheree A Hemphill, Robert W TaylorAbstract:REDCap (Research Electronic Data Capture) is a web-based software solution and tool set that allows biomedical researchers to create secure online forms for Data capture, management and analysis with minimal effort and training. The Shared Data Instrument Library (SDIL) is a relatively new component of REDCap that allows sharing of commonly used Data collection instruments for immediate study use by research teams. Objectives of the SDIL project include: (1) facilitating reuse of Data dictionaries and reducing duplication of effort; (2) promoting the use of validated Data collection instruments, Data standards and best practices; and (3) promoting research collaboration and Data sharing. Instruments submitted to the library are reviewed by a library oversight committee, with rotating membership from multiple institutions, which ensures quality, relevance and legality of shared instruments. The design allows researchers to download the instruments in a consumable Electronic format in the REDCap environment. At the time of this writing, the SDIL contains over 128 Data collection instruments. Over 2500 instances of instruments have been downloaded by researchers at multiple institutions. In this paper we describe the library platform, provide detail about experience gained during the first 25months of sharing public domain instruments and provide evidence of impact for the SDIL across the REDCap consortium research community. We postulate that the shared library of instruments reduces the burden of adhering to sound Data collection principles while promoting best practices.
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research Electronic Data capture redcap a metaData driven methodology and workflow process for providing translational research informatics support
Journal of Biomedical Informatics, 2009Co-Authors: Paul A Harris, Robert W Taylor, Robert Thielke, Jonathon Payne, Nathaniel Gonzalez, Jose G CondeAbstract:Research Electronic Data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of Electronic Data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metaData-driven software toolset; (2) detail concerning the capture and use of study-related metaData from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
Ming Dong - One of the best experts on this subject based on the ideXlab platform.
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sustainable regulation of information sharing with Electronic Data interchange by a trust embedded contract
Sustainability, 2017Co-Authors: Ming DongAbstract:This paper studies the risks in demand information sharing applications by Electronic soft-orders using Electronic Data interchange (EDI) systems in e-commerce and aims to suggest a sustainable regulation mechanism with a trust-embedded contract. In a supply chain with one retailer and one supplier, the retailer solicits private forecasted demand and places soft-orders via EDI to the supplier. To ensure abundant supply, the retailer has an incentive to inflate her soft-orders, which potentially harms the credible information sharing and sustainability of business cooperation. Normally, the degree to which the supplier relies on the retailer’s order information is specified by trust, which is evaluated according to the retailer’s reputation and supplier’s intuition in this study. Based on standard game theory, we find that both the retailer’s order and the quantity of supplier prepared materials are independent of the retailer’s forecast. Therefore, EDI based information sharing in e-commerce without a regulation mechanism leads to inefficient demand information sharing. Since both the supplier and retailer are proved to faces huge of potential profit losses due to the failure of information sharing, the commerce by EDI based information sharing is full of risk and unsustainable. Therefore, a regulation mechanism that leaded by the retailer is proposed to establish ‘win-win’ sustainable cooperation. Numerical experiments highlight the value of trust, the impact of reputation and intuition in decisions, and the effectiveness of the regulation mechanism by a cost-sharing contract.
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sustainable regulation of information sharing with Electronic Data interchange by a trust embedded contract
Sustainability, 2017Co-Authors: Guanghua Han, Ming DongAbstract:This paper studies the risks in demand information sharing applications by Electronic soft-orders using Electronic Data interchange (EDI) systems in e-commerce and aims to suggest a sustainable regulation mechanism with a trust-embedded contract. In a supply chain with one retailer and one supplier, the retailer solicits private forecasted demand and places soft-orders via EDI to the supplier. To ensure abundant supply, the retailer has an incentive to inflate her soft-orders, which potentially harms the credible information sharing and sustainability of business cooperation. Normally, the degree to which the supplier relies on the retailer’s order information is specified by trust, which is evaluated according to the retailer’s reputation and supplier’s intuition in this study. Based on standard game theory, we find that both the retailer’s order and the quantity of supplier prepared materials are independent of the retailer’s forecast. Therefore, EDI based information sharing in e-commerce without a regulation mechanism leads to inefficient demand information sharing. Since both the supplier and retailer are proved to faces huge of potential profit losses due to the failure of information sharing, the commerce by EDI based information sharing is full of risk and unsustainable. Therefore, a regulation mechanism that leaded by the retailer is proposed to establish ‘win-win’ sustainable cooperation. Numerical experiments highlight the value of trust, the impact of reputation and intuition in decisions, and the effectiveness of the regulation mechanism by a cost-sharing contract.
Jonathan D King - One of the best experts on this subject based on the ideXlab platform.
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a novel Electronic Data collection system for large scale surveys of neglected tropical diseases
PLOS ONE, 2013Co-Authors: Jonathan D King, Joy Buolamwini, Elizabeth A Cromwell, Andrew Panfel, Tesfaye Teferi, Mulat Zerihun, Berhanu Melak, Jessica WatsonAbstract:BACKGROUND: Large cross-sectional household surveys are common for measuring indicators of neglected tropical disease control programs. As an alternative to standard paper-based Data collection, we utilized novel paperless technology to collect Data Electronically from over 12,000 households in Ethiopia. METHODOLOGY: We conducted a needs assessment to design an Android-based Electronic Data collection and management system. We then evaluated the system by reporting results of a pilot trial and from comparisons of two, large-scale surveys; one with traditional paper questionnaires and the other with tablet computers, including accuracy, person-time days, and costs incurred. PRINCIPLE FINDINGS: The Electronic Data collection system met core functions in household surveys and overcame constraints identified in the needs assessment. Pilot Data recorders took 264 (standard deviation (SD) 152 sec) and 260 sec (SD 122 sec) per person registered to complete household surveys using paper and tablets, respectively (P = 0.77). Data recorders felt a lack of connection with the interviewee during the first days using Electronic devices, but preferred to collect Data Electronically in future surveys. Electronic Data collection saved time by giving results immediately, obviating the need for double Data entry and cross-correcting. The proportion of identified Data entry errors in disease classification did not differ between the two Data collection methods. Geographic coordinates collected using the tablets were more accurate than coordinates transcribed on a paper form. Costs of the equipment required for Electronic Data collection was approximately the same cost incurred for Data entry of questionnaires, whereas repeated use of the Electronic equipment may increase cost savings. CONCLUSIONS/SIGNIFICANCE: Conducting a needs assessment and pilot testing allowed the design to specifically match the functionality required for surveys. Electronic Data collection using an Android-based technology was suitable for a large-scale health survey, saved time, provided more accurate geo-coordinates, and was preferred by recorders over standard paper-based questionnaires.
Ettore Bolisani - One of the best experts on this subject based on the ideXlab platform.
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a critical perspective on information technology management the case of Electronic Data interchange
International Journal of Technology Management, 2014Co-Authors: Giorgio Gottardi, Ettore BolisaniAbstract:The managerial studies on technology innovation are sometimes characterised by low criticism. The capability of innovations to radically modify processes, structures, and environment is not thoroughly considered. Information technology presents the greatest assessment difficulties; since it directly influences the cognitive content of firms' activities, it creates totally new opportunities and represents a formidable factor changing organizations, inter–firm relationships and market structures. The potential of Electronic Data Interchange (EDI) has been recognised since the mid–seventies; however, the spread of this technology has been slower than predicted, and it faces difficulties tied to non–technical factors. The existing applications are very differentiated, and partially unexpected. The aim of this paper is to examine the real nature of EDI as a tool for the automation of transactions, and to carry out a more realistic evaluation of the conditions and limits to the adoption and diffusion of this innovation. A non–deterministic evaluation of EDI potential is carried out, in order to reduce the obstacles to the comprehension of the impacts on firms and on market structure. Starting from an analysis of the variety of the existing applications, a taxonomy of EDI strategic advantages is suggested.
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a critical perspective on information technology management the case of Electronic Data interchange
International Journal of Technology Management, 2014Co-Authors: Giorgio Gottardi, Ettore BolisaniAbstract:The managerial studies on technology innovation are sometimes characterised by low criticism. The capability of innovations to radically modify processes, structures, and environment is not thoroughly considered. Information technology presents the greatest assessment difficulties; since it directly influences the cognitive content of firms' activities, it creates totally new opportunities and represents a formidable factor changing organizations, inter–firm relationships and market structures. The potential of Electronic Data Interchange (EDI) has been recognised since the mid–seventies; however, the spread of this technology has been slower than predicted, and it faces difficulties tied to non–technical factors. The existing applications are very differentiated, and partially unexpected. The aim of this paper is to examine the real nature of EDI as a tool for the automation of transactions, and to carry out a more realistic evaluation of the conditions and limits to the adoption and diffusion of this innovation. A non–deterministic evaluation of EDI potential is carried out, in order to reduce the obstacles to the comprehension of the impacts on firms and on market structure. Starting from an analysis of the variety of the existing applications, a taxonomy of EDI strategic advantages is suggested.
