The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Frank R Witter - One of the best experts on this subject based on the ideXlab platform.
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a model for the departmental quality Management Infrastructure within an academic health system
Academic Medicine, 2017Co-Authors: Simon C Mathews, Renee Demski, Jody E Hooper, Lee Daugherty Biddison, Stephen A Berry, Brent G Petty, Allen R Chen, Peter M Hill, Marlene R Miller, Frank R WitterAbstract:As quality improvement and patient safety come to play a larger role in health care, academic medical centers and health systems are poised to take a leadership role in addressing these issues. Academic medical centers can leverage their large integrated footprint and have the ability to innovate in this field. However, a robust quality Management Infrastructure is needed to support these efforts. In this context, quality and safety are often described at the executive level and at the unit level. Yet, the role of individual departments, which are often the dominant functional unit within a hospital, in realizing health system quality and safety goals has not been addressed. Developing a departmental quality Management Infrastructure is challenging because departments are diverse in composition, size, resources, and needs.In this article, the authors describe the model of departmental quality Management Infrastructure that has been implemented at the Johns Hopkins Hospital. This model leverages the fractal approach, linking departments horizontally to support peer and organizational learning and connecting departments vertically to support accountability to the hospital, health system, and board of trustees. This model also provides both structure and flexibility to meet individual departmental needs, recognizing that independence and interdependence are needed for large academic medical centers. The authors describe the structure, function, and support system for this model as well as the practical and essential steps for its implementation. They also provide examples of its early success.
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a model for the departmental quality Management Infrastructure within an academic health system
Academic Medicine, 2017Co-Authors: Simon C Mathews, Renee Demski, Jody E Hooper, Lee Daugherty Biddison, Stephen A Berry, Brent G Petty, Allen R Chen, Peter M Hill, Marlene R Miller, Frank R WitterAbstract:As quality improvement and patient safety come to play a larger role in health care, academic medical centers and health systems are poised to take a leadership role in addressing these issues. Academic medical centers can leverage their large integrated footprint and have the ability to innovate in
Panagiotis Papadimitratos - One of the best experts on this subject based on the ideXlab platform.
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secmace scalable and robust identity and credential Management Infrastructure in vehicular communication systems
IEEE Transactions on Intelligent Transportation Systems, 2018Co-Authors: Mohammad Khodaei, Hongyu Jin, Panagiotis PapadimitratosAbstract:Several years of academic and industrial research efforts have converged to a common understanding on fundamental security building blocks for the upcoming vehicular communication (VC) systems. There is a growing consensus toward deploying a special-purpose identity and credential Management Infrastructure, i.e., a vehicular public-key Infrastructure (VPKI), enabling pseudonymous authentication, with standardization efforts toward that direction. In spite of the progress made by standardization bodies (IEEE 1609.2 and ETSI) and harmonization efforts [Car2Car Communication Consortium (C2C-CC)], significant questions remain unanswered toward deploying a VPKI. Deep understanding of the VPKI, a central building block of secure and privacy-preserving VC systems, is still lacking. This paper contributes to the closing of this gap. We present SECMACE, a VPKI system, which is compatible with the IEEE 1609.2 and ETSI standards specifications. We provide a detailed description of our state-of-the-art VPKI that improves upon existing proposals in terms of security and privacy protection, and efficiency. SECMACE facilitates multi-domain operations in the VC systems and enhances user privacy, notably preventing linking pseudonyms based on timing information and offering increased protection even against honest-but-curious VPKI entities. We propose multiple policies for the vehicle–VPKI interactions and two large-scale mobility trace data sets, based on which we evaluate the full-blown implementation of SECMACE. With very little attention on the VPKI performance thus far, our results reveal that modest computing resources can support a large area of vehicles with very few delays and the most promising policy in terms of privacy protection can be supported with moderate overhead.
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secmace scalable and robust identity and credential Management Infrastructure in vehicular communication systems
arXiv: Cryptography and Security, 2017Co-Authors: Mohammad Khodaei, Hongyu Jin, Panagiotis PapadimitratosAbstract:Several years of academic and industrial research efforts have converged to a common understanding on fundamental security building blocks for the upcoming Vehicular Communication (VC) systems. There is a growing consensus towards deploying a special-purpose identity and credential Management Infrastructure, i.e., a Vehicular Public-Key Infrastructure (VPKI), enabling pseudonymous authentication, with standardization efforts towards that direction. In spite of the progress made by standardization bodies (IEEE 1609.2 and ETSI) and harmonization efforts (Car2Car Communication Consortium (C2C-CC)), significant questions remain unanswered towards deploying a VPKI. Deep understanding of the VPKI, a central building block of secure and privacy-preserving VC systems, is still lacking. This paper contributes to the closing of this gap. We present SECMACE, a VPKI system, which is compatible with the IEEE 1609.2 and ETSI standards specifications. We provide a detailed description of our state-of-the-art VPKI that improves upon existing proposals in terms of security and privacy protection, and efficiency. SECMACE facilitates multi-domain operations in the VC systems and enhances user privacy, notably preventing linking pseudonyms based on timing information and offering increased protection even against honest-but-curious VPKI entities. We propose multiple policies for the vehicle-VPKI interactions, based on which and two large-scale mobility trace datasets, we evaluate the full-blown implementation of SECMACE. With very little attention on the VPKI performance thus far, our results reveal that modest computing resources can support a large area of vehicles with very low delays and the most promising policy in terms of privacy protection can be supported with moderate overhead.
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towards deploying a scalable robust vehicular identity and credential Management Infrastructure
Vehicular Networking Conference, 2014Co-Authors: Mohammad Khodaei, Hongyu Jin, Panagiotis PapadimitratosAbstract:Several years of academic and industrial research efforts have converged to a common understanding on fundamental security building blocks for the upcoming Vehicular Communication (VC) systems. There is a growing consensus towards deploying a Vehicular Public-Key Infrastructure (VPKI) enables pseudonymous authentication, with standardization efforts in that direction. However, there are still significant technical issues that remain unresolved. Existing proposals for instantiating the VPKI either need additional detailed specifications or enhanced security and privacy features. Equally important, there is limited experimental work that establishes the VPKI efficiency and scalability. In this paper, we are concerned with exactly these issues. We leverage the common VPKI approach and contribute an enhanced system with precisely defined, novel features that improve its resilience and the user privacy protection. In particular, we depart from the common assumption that the VPKI entities are fully trusted and we improve user privacy in the face of an honest-but-curious security Infrastructure. Moreover, we fully implement our VPKI, in a standard-compliant manner, and we perform an extensive evaluation. Along with stronger protection and richer functionality, our system achieves very significant performance improvement over prior systems — contributing the most advanced VPKI towards deployment.
Paul Jeffreys - One of the best experts on this subject based on the ideXlab platform.
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an institutional approach to developing research data Management Infrastructure
International Journal of Digital Curation, 2011Co-Authors: James A J Wilson, Luis Martinezuribe, Michael A Fraser, Paul JeffreysAbstract:This article outlines the work that the University of Oxford is undertaking to implement a coordinated data Management Infrastructure. The rationale for the approach being taken by Oxford is presented, with particular attention paid to the role of each service division. This is followed by a consideration of the relative advantages and disadvantages of institutional data repositories, as opposed to national or international data centres. The article then focuses on two ongoing JISC-funded projects, ‘Embedding Institutional Data Curation Services in Research’ (Eidcsr) and ‘Supporting Data Management Infrastructure for the Humanities’ (Sudamih). Both projects are intra-institutional collaborations and involve working with researchers to develop particular aspects of Infrastructure, including: University policy, systems for the preservation and documentation of research data, training and support, software tools for the visualisation of large images, and creating and sharing databases via the Web (Database as a Service).
R. Bose - One of the best experts on this subject based on the ideXlab platform.
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Earth System Science Workbench: a data Management Infrastructure for earth science products
Proceedings Thirteenth International Conference on Scientific and Statistical Database Management. SSDBM 2001, 2001Co-Authors: James Frew, R. BoseAbstract:The Earth System Science Workbench (ESSW) is a non-intrusive data Management Infrastructure for researchers who are also data publishers. An implementation of ESSW to track the processing of locally received satellite imagery is presented, demonstrating the Workbench's transparent and robust support for archiving and publishing data products. ESSW features a Lab Notebook metadata service, an ND-WORM (No Duplicate-Write Once Read Many) storage service, and Web user interface tools. The Lab Notebook logs processes (experiments) and their relationships via a custom API to XML documents stored in a relational database. The ND-WORM provides a managed storage archive for the Lab Notebook by keeping unique file digests and name-space meta-data, also in a relational database. ESSW Notebook tools allow project searching and ordering, and file and meta-data Management.
Simon C Mathews - One of the best experts on this subject based on the ideXlab platform.
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a model for the departmental quality Management Infrastructure within an academic health system
Academic Medicine, 2017Co-Authors: Simon C Mathews, Renee Demski, Jody E Hooper, Lee Daugherty Biddison, Stephen A Berry, Brent G Petty, Allen R Chen, Peter M Hill, Marlene R Miller, Frank R WitterAbstract:As quality improvement and patient safety come to play a larger role in health care, academic medical centers and health systems are poised to take a leadership role in addressing these issues. Academic medical centers can leverage their large integrated footprint and have the ability to innovate in this field. However, a robust quality Management Infrastructure is needed to support these efforts. In this context, quality and safety are often described at the executive level and at the unit level. Yet, the role of individual departments, which are often the dominant functional unit within a hospital, in realizing health system quality and safety goals has not been addressed. Developing a departmental quality Management Infrastructure is challenging because departments are diverse in composition, size, resources, and needs.In this article, the authors describe the model of departmental quality Management Infrastructure that has been implemented at the Johns Hopkins Hospital. This model leverages the fractal approach, linking departments horizontally to support peer and organizational learning and connecting departments vertically to support accountability to the hospital, health system, and board of trustees. This model also provides both structure and flexibility to meet individual departmental needs, recognizing that independence and interdependence are needed for large academic medical centers. The authors describe the structure, function, and support system for this model as well as the practical and essential steps for its implementation. They also provide examples of its early success.
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a model for the departmental quality Management Infrastructure within an academic health system
Academic Medicine, 2017Co-Authors: Simon C Mathews, Renee Demski, Jody E Hooper, Lee Daugherty Biddison, Stephen A Berry, Brent G Petty, Allen R Chen, Peter M Hill, Marlene R Miller, Frank R WitterAbstract:As quality improvement and patient safety come to play a larger role in health care, academic medical centers and health systems are poised to take a leadership role in addressing these issues. Academic medical centers can leverage their large integrated footprint and have the ability to innovate in
