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Bridging clinical information systems and grid middleware: a Medical Data Manager

Bridging clinical information systems and grid middleware: a Medical Data Manager

This paper describes the effort to deploy a Medical Data Management service on top of the EGEE grid infrastructure. The most widely accepted medical image stan- dard, DICOM, was developed for fulfilling clinical practice. It is implemented in most medical image acquisition and analysis devices. The EGEE middleware is us- ing the SRM standard for handling grid files. Our prototype is exposing an SRM compliant interface to the grid middleware, transforming on the fly SRM requests into DICOM transactions. The prototype ensures user identification, strict file ac- cess control and data protection through the use of relevant grid services. This Medical Data Manager is easing the access to medical databases needed for many medical data analysis applications deployed today. It offers a high level data man- agement service, compatible with clinical practices, which encourages the migration of medical applications towards grid infrastructures. A limited scale testbed has been deployed as a proof of concept of this new service. The service is expected to be put into production with the next EGEE middleware generation.
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M-Budget Mobile Internet. M-Budget Data Manager for Windows

M-Budget Mobile Internet. M-Budget Data Manager for Windows

The main window of M-Budget Data Manager (MDM) is the core of the application. Here you can see the status of MDM, how much prepaid credit you still have and when it expires and you can top up your credit in various ways. You can also see all connection types that have been defined, view their current availability and change their settings. You can establish an Internet connection from this window and send and receive SMS messages using the network technology available. You will see the following buttons and symbols:

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Music Data Management Software. Data Manager for Windows. User s Guide

Music Data Management Software. Data Manager for Windows. User s Guide

The data folder is the location on your PC that contains the data to be copied to Instrument memory using Data Manager.. The initial default data folder is the “CASIODataManagerData” loc[r]

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Keeper Care System Data Manager Version 1.0

Keeper Care System Data Manager Version 1.0

Before adding jobs to the Keeper Machines, you will need to add the various locations using the Keeper Machines. The Locations Manager screen handles the company name, locations and departments. The top level of the tree is the company, the next level is the location, and the third level is the departments.

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The role of the clinical research coordinator – data manager – in oncology clinical trials

The role of the clinical research coordinator – data manager – in oncology clinical trials

The responsibilities of investigators, sponsors and moni- tors are well defined in the Spanish regulation on clinical trials [9], FDA regulations [10] and international guide- lines on Good Clinical Practice [11]. Despite the above- mentioned importance of the CRC position however, their responsibilities and main tasks have not been for- mally described. Furthermore, literature on this topic is limited since most papers mainly address the required skills of a CRC [4,8,12], or describe their responsibilities within a specific project [13,14]. The British Oncology Data Managers Association (BODMA) has run several sur- veys among its members [3,15] but very little data has been published in journals accessible by commonly used literature databases (e.g. MEDLINE) [3]. Raybuck [16], in a review of the literature, concluded that their role is vague and ill defined, with little emphasis on the need for advanced educational preparation. Arrigo et al [7] carried out the only published survey that we are aware of addressing this issue. They surveyed 120 nurses in the EORTC Oncology Nurses Study Group. Their results indi- cate that nurses' tasks and activities are oriented primarily toward patient care, such as informing patients, drug preparation and administration, monitoring of toxicities, organization of follow-up, basic patient care, and data management. However, we think that this otherwise inter- esting survey has two important limitations. First of all, only nurses were surveyed, and it is well recognized that CRCs have a broader range of backgrounds [15,17]. Sec- ondly, their report did not state the content and format of the questions used, and therefore we cannot know whether these activities are the standard ones (i.e. activi- ties which are performed by most of the respondents in most of the trials).
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COLLEGIATE ACADEMY TRUST DATA MANAGER

COLLEGIATE ACADEMY TRUST DATA MANAGER

 Supporting the strategic planning of further developments and improvements to support students attainment and increase the effectiveness of teaching and learning by the manipulation and analysis of date retrieved from MIS and other data sources to support student progress.

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CAREER IN CLINICAL RESEARCH

CAREER IN CLINICAL RESEARCH

Clinical Team Leader, Project Manager, Manager (Clinical Operations), QA Manager, Data Manager, Clinical Study Manager, Clinical Development Manager, Regulatory Manager, Project Manag[r]

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Clinical Trials (General Talk)

Clinical Trials (General Talk)

CTOM = Clinical Trials Operations Manager CTC = Clinical Trials Coordinator. DM = Data Manager IT = IT manager[r]

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Siemens PLM Software BI Presentation Informatica 2016

Siemens PLM Software BI Presentation Informatica 2016

• Meta Data Manager – manages Data Certification, Data Cleansing, Data Normalization and provides Business users with Data Guides on all Certified data sources; works closely with and [r]

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A plugin-based approach to data analysis for the AMS experiment on the ISS

A plugin-based approach to data analysis for the AMS experiment on the ISS

This member function is called by the plugin manager each time a new event is loaded in memory. It contains the main body of the analysis, such as event selections, vari- ables manipulation, histogram/tree filling and so on. As a design choice, the fact that the TSAnaPlugin class inherits from the analysis custom Event class means that in this method all the pointers to the internal data structures are already available to the user for utilization without the need to redefine/redeclare them. The user can, then, simply write the same kind of analysis code he would have written in his custom programs or macros.
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Integrating database and data stream systems

Integrating database and data stream systems

Instead of giving a client separate look of DBMS and DSMS I would like the client to see only Data Management System by building a middleware. The client will access the data through middleware. I will be using ACF to test my application. Take an example of Kodak stocks. All the history of price is stored in DBMS and new price changes are coming through the streams. Now when client want to study the price graph of Kodak shares it needs to consider all data, the history and the new streaming data. When client talks with the middleware, the middleware will provide the client all information by combining the history and the new streaming data.
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Enhancing the Inter-Cloud Data Transfer using Cache Manager

Enhancing the Inter-Cloud Data Transfer using Cache Manager

Profiling builds a job profile consisting of parameters discussed. The profile parameters such as map execution time, map selectivity, output to input ratio remain consistent across recurring datasets from same data source. On each unique data source an offline profiling is done once for every unique job. We run the job in IC with reduce slowstart as 1 and measure the profile parameters. The reduce slowstart is set as 1 so it ensures that reducers start only after all the maps are complete. Therefore, there is no waiting time within a reducer slot during the shuffle phase. Thus the measured profile parameters are free from any extraneous delays. Storm job profiling determines the minimum number of workers to be provisioned in EC such that data processing rate matches upload rate.
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A Theoretical Review on Organizational Information Systems for Analysing Spatial Issues: A Perspective of Modern Business

A Theoretical Review on Organizational Information Systems for Analysing Spatial Issues: A Perspective of Modern Business

GIS has capability on data visualization technology that captures, stores, validates, integrates, manipulates and displays data using digitized maps. GIS has the capabilities of integrating maps with spatial orientation, that is with geographical location and other databases and end-users can generate information for their purpose as well as managing, planning, problem solving, decision making, monitoring, and coordinating all the activities using GIS tools [29]. In addition, in many cases we can find that the integrative features and the intelligent organization of the data within a GIS will help firms to increase the quality of its decisions making activities and process [30]. This is also the best reason why the business professionals use GIS to manage their business operations, either as stand alone system or integrated system with other application.
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Management Control & Reporting System For Sustainability Organization Manufacturing Industries In Surabaya

Management Control & Reporting System For Sustainability Organization Manufacturing Industries In Surabaya

Information system can also be regarded as an important element of MCRS implementation. Successful MCRS implementation needs reliable data collection of current performance condition and analysis, which were no structure before MCRS was introduced into Company P. Along with MCRS deployment, Company P also introduced centered information systems and upgraded its intranet system. The well-established information system provides online data

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McAfee Policy Auditor 6.0 software Product Guide for epolicy Orchestrator 4.6

McAfee Policy Auditor 6.0 software Product Guide for epolicy Orchestrator 4.6

The installation application automatically creates a server task named PA: Maintain Foundstone audits when you install the McAfee Vulnerability Manager extension. The task runs once per day by default. If you need to change the schedule, you should schedule it to run after the Data Collection Scan has had the opportunity to conduct audits so that audit results stay current. The purpose of the PA: Maintain Foundstone audits server task is to:

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HYPER-V CLOUD DEPLOYMENT GUIDES MODULE 3: OPERATIONS

HYPER-V CLOUD DEPLOYMENT GUIDES MODULE 3: OPERATIONS

Download this network-wide inventory and assessment tool to determine the virtualization candidates for Windows Server 2008 R2 Hyper-V and Application Virtualization. If your customer is currently running VMware, the toolkit now includes a VMware discovery feature that identifies already-virtualized servers running under VMware that can be managed with System Center Virtual Machine Manager or which can be migrated to Hyper-V.

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IBM Tivoli Storage Manager for Virtual Environments Version Data Protection for Microsoft Hyper-V Installation and User's Guide IBM

IBM Tivoli Storage Manager for Virtual Environments Version Data Protection for Microsoft Hyper-V Installation and User's Guide IBM

v When the Tivoli Storage Manager recovery agent is installed on a guest machine, you cannot start a mount operation for any file system or disk while the guest machine is being backed up. You must either wait for the backup to complete, or you must cancel the backup before running a mount operation. These operations are not allowed because the locking mechanism is for a full virtual machine. v When you browse the snapshot backup inventory, the operating system version

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whitepaper SolarWinds Integration with 3rd Party Products Overview

whitepaper SolarWinds Integration with 3rd Party Products Overview

SolarWinds Orion products have for a long time maintained an integration with MS SCOM. The integration has been defined around customers who are already using SCOM as their primary ‘single pane of glass’ and want to collect data about their network within that context. In order to support this use case, SolarWinds developed the SCOM management pack that follows the integration paradigm set by Microsoft. As with other management packs, data is extracted from the Orion products and displayed within the context of the SCOM interface, bringing rich network fault and performance data to SCOM.
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Quality improvement is dependent on data. Judy Evans e-health Manager

Quality improvement is dependent on data. Judy Evans e-health Manager

The driving force behind good quality data is ultimately to improve the quality of care and improve patient safety through appropriate clinical management based on the best information[r]

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EVault for Data Protection Manager. Course 411 Understanding EVault Retentions

EVault for Data Protection Manager. Course 411 Understanding EVault Retentions

7 EVault for Data Protection Manager - ©2010 i365, A Seagate Company When safeset 1 is expired per retention, the associated safeset index is also removed. As seen below, nothing references 123.txt anymore and therefore not needed to restore any current safesets. EVault then removes any orphaned data…123.txt. As you can see, the entire seed is not removed. We only remove data that’s been orphaned.

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