The Experts below are selected from a list of 886527 Experts worldwide ranked by ideXlab platform
Shintaro Sengoku - One of the best experts on this subject based on the ideXlab platform.
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holistic observation and monitoring of the impact of interdisciplinary academic Research Projects an empirical assessment in japan
Technovation, 2012Co-Authors: Tomohiro Anzai, Ryoichi Kusama, Hiroyuki Kodama, Shintaro SengokuAbstract:Abstract Large-scale competitive Research funding systems are currently being set up, and, in parallel, academic Research Projects aiming to integrate interdisciplinary Research fields are being implemented at universities and Research institutions. However, no objective methods have been established for readily evaluating academicians’ productivity or the levels of integration between the disparate fields of interdisciplinary Research Projects. Such a methodology should be fundamental to the essential ex-post evaluation of policies, but currently, any evaluation of these Projects relies merely on conventional qualitative methods, such as peer review. Indeed, with such subjectivity, it is hard to say whether academic institutions possess standardized management approaches for interdisciplinary Projects. This is an action Research focused on two interdisciplinary academic institutional Research Projects, with the aim of objectively validating the key performance indicators for interdisciplinarity and productivity of Research and testing the strategic fitness of each project. As for the indicator of interdisciplinarity, we have included the breadth of the Research network coupled with the range of Research fields. In this study, we have observed both consistencies and inconsistencies in governmental funding strategies, in the management of each project, and in the outcomes as measured by the key performance indicators. In addition, since these indicators could be measured quantitatively and recursively monitored during the project, they could also be applied readily to project management and to interim evaluation and benchmarking by the government.
Wolfgang Hoffmann - One of the best experts on this subject based on the ideXlab platform.
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assessment of scalability and performance of the record linkage tool e pix in managing multi million patients in Research Projects at a large university hospital in germany
Journal of Translational Medicine, 2020Co-Authors: Christopher Hampf, Lars Geidel, Norman Zerbe, Martin Bialke, Dana Stahl, Arne Blumentritt, Thomas Bahls, Peter Hufnagl, Wolfgang HoffmannAbstract:BACKGROUND The identity management is a central component in medical Research. Patients are recruited from various sites, which requires an error tolerant record linkage method, to ensure that patients are registered only once. In large Research Projects or institutions, the identity management has to deal with several thousands or millions of patients. In environments with large numbers of patients the register process could lead to high runtimes caused by record linkage. The Central Biomaterial Bank of the Charite (ZeBanC) searched for an identity management solution, which can handle millions of patients in large Research Projects with an acceptable performance. The goal of this paper was to simulate the registration of several million patients using the E-PIX service at Charite - Universitatsmedizin Berlin. The E-PIX service was evaluated in terms of needed runtimes, memory requirements, and processor utilization. A total of at least 20 million patients had to be registered. The runtimes to register patients into databases with various sizes should be examined, and the maximum number of patients, which the E-PIX service could handle, should be determined. METHODS Tools were set up or developed to measure the needed runtimes, the memory used and the processor usage to register patients into various sizes of databases. To generate runtimes close to reality, modified patient data based on transposed real patient data were used for the simulation. The transposed patient data were sent to E-PIX to measure the runtimes of the registration process. This measurement was repeated for various database sizes. RESULTS E-PIX is suitable to manage multi-million patients within a dataset. With the given hardware, it was possible to register a total of more than 30 million patients. It was possible to register more than 16 thousand patients per day into this database. CONCLUSIONS The E-PIX tool fulfills the requirements of the Charite to be used for large Research Projects. The use of E-PIX is intended for the Research context in the Charite.
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Toolbox for Research, or how to facilitate a central data management in small-scale Research Projects
Journal of Translational Medicine, 2018Co-Authors: Martin Bialke, Arne Blumentritt, Thomas Bahls, Henriette Rau, Oliver C. Thamm, Ronny Schuldt, Peter Penndorf, Robert Gött, Jens Piegsa, Wolfgang HoffmannAbstract:Background In most Research Projects budget, staff and IT infrastructures are limiting resources. Especially for small-scale registries and cohort studies professional IT support and commercial electronic data capture systems are too expensive. Consequently, these Projects use simple local approaches (e.g. Excel) for data capture instead of a central data management including web-based data capture and proper Research databases. This leads to manual processes to merge, analyze and, if possible, pseudonymize Research data of different study sites. Results To support multi-site data capture, storage and analyses in small-scall Research Projects, corresponding requirements were analyzed within the MOSAIC project. Based on the identified requirements, the Toolbox for Research was developed as a flexible software solution for various Research scenarios. Additionally, the Toolbox facilitates data integration of Research data as well as metadata by performing necessary procedures automatically. Also, Toolbox modules allow the integration of device data. Moreover, separation of personally identifiable information and medical data by using only pseudonyms for storing medical data ensures the compliance to data protection regulations. This pseudonymized data can then be exported in SPSS format in order to enable scientists to prepare reports and analyses. Conclusions The Toolbox for Research was successfully piloted in the German Burn Registry in 2016 facilitating the documentation of 4350 burn cases at 54 study sites. The Toolbox for Research can be downloaded free of charge from the project website and automatically installed due to the use of Docker technology.
Yonghe Zheng - One of the best experts on this subject based on the ideXlab platform.
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the interactive heuristic review mechanism a new method of assessing pioneering Research Projects of the national natural science foundation of china
Research Evaluation, 2011Co-Authors: Yue Wang, Xiaoxuan Li, Yonghe ZhengAbstract:Peer review has been widely used to make funding decisions for many science funding agencies. However, peer review is often conservative and may disfavor non-conventional innovative Research such as pioneering Research. Based on the summarization of several funding agencies' special grant review mechanisms for pioneering Research in the USA and UK, this paper aims to propose a new method, named ‘interactive heuristic review mechanism’ (IHRM), which is designed to assess pioneering Research Projects for the National Natural Science Foundation of China. The IHRM can identify and facilitate pioneering Research worthy of funding through a special forum, during which face-to-face discussions between applicants and reviewers are allowed. Compared with the conventional grant peer-review process, the advantages of this new method are also discussed. The IHRM could be a complementary mechanism for conventional grant peer review. Copyright , Beech Tree Publishing.
Adam Watson - One of the best experts on this subject based on the ideXlab platform.
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an overview of the defense advanced Research Projects agency s learning locomotion program
The International Journal of Robotics Research, 2011Co-Authors: James Pippine, Douglas Hackett, Adam WatsonAbstract:In November of 2005, the Defense Advanced Research Projects Agency initiated a new robotics program, Learning Locomotion, designed to solve some of the key outstanding issues. The expectation was that a combination of machine learning techniques and smart development would accelerate the pace of making autonomous legged systems robust and useful.
Martin Bialke - One of the best experts on this subject based on the ideXlab platform.
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assessment of scalability and performance of the record linkage tool e pix in managing multi million patients in Research Projects at a large university hospital in germany
Journal of Translational Medicine, 2020Co-Authors: Christopher Hampf, Lars Geidel, Norman Zerbe, Martin Bialke, Dana Stahl, Arne Blumentritt, Thomas Bahls, Peter Hufnagl, Wolfgang HoffmannAbstract:BACKGROUND The identity management is a central component in medical Research. Patients are recruited from various sites, which requires an error tolerant record linkage method, to ensure that patients are registered only once. In large Research Projects or institutions, the identity management has to deal with several thousands or millions of patients. In environments with large numbers of patients the register process could lead to high runtimes caused by record linkage. The Central Biomaterial Bank of the Charite (ZeBanC) searched for an identity management solution, which can handle millions of patients in large Research Projects with an acceptable performance. The goal of this paper was to simulate the registration of several million patients using the E-PIX service at Charite - Universitatsmedizin Berlin. The E-PIX service was evaluated in terms of needed runtimes, memory requirements, and processor utilization. A total of at least 20 million patients had to be registered. The runtimes to register patients into databases with various sizes should be examined, and the maximum number of patients, which the E-PIX service could handle, should be determined. METHODS Tools were set up or developed to measure the needed runtimes, the memory used and the processor usage to register patients into various sizes of databases. To generate runtimes close to reality, modified patient data based on transposed real patient data were used for the simulation. The transposed patient data were sent to E-PIX to measure the runtimes of the registration process. This measurement was repeated for various database sizes. RESULTS E-PIX is suitable to manage multi-million patients within a dataset. With the given hardware, it was possible to register a total of more than 30 million patients. It was possible to register more than 16 thousand patients per day into this database. CONCLUSIONS The E-PIX tool fulfills the requirements of the Charite to be used for large Research Projects. The use of E-PIX is intended for the Research context in the Charite.
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Toolbox for Research, or how to facilitate a central data management in small-scale Research Projects
Journal of Translational Medicine, 2018Co-Authors: Martin Bialke, Arne Blumentritt, Thomas Bahls, Henriette Rau, Oliver C. Thamm, Ronny Schuldt, Peter Penndorf, Robert Gött, Jens Piegsa, Wolfgang HoffmannAbstract:Background In most Research Projects budget, staff and IT infrastructures are limiting resources. Especially for small-scale registries and cohort studies professional IT support and commercial electronic data capture systems are too expensive. Consequently, these Projects use simple local approaches (e.g. Excel) for data capture instead of a central data management including web-based data capture and proper Research databases. This leads to manual processes to merge, analyze and, if possible, pseudonymize Research data of different study sites. Results To support multi-site data capture, storage and analyses in small-scall Research Projects, corresponding requirements were analyzed within the MOSAIC project. Based on the identified requirements, the Toolbox for Research was developed as a flexible software solution for various Research scenarios. Additionally, the Toolbox facilitates data integration of Research data as well as metadata by performing necessary procedures automatically. Also, Toolbox modules allow the integration of device data. Moreover, separation of personally identifiable information and medical data by using only pseudonyms for storing medical data ensures the compliance to data protection regulations. This pseudonymized data can then be exported in SPSS format in order to enable scientists to prepare reports and analyses. Conclusions The Toolbox for Research was successfully piloted in the German Burn Registry in 2016 facilitating the documentation of 4350 burn cases at 54 study sites. The Toolbox for Research can be downloaded free of charge from the project website and automatically installed due to the use of Docker technology.
