Data Query System

Figure 23.3 The Data Query System is a web-based management tool that sites use to receive and manage queries. See color plate.

Web-based data collection and management systems provide a mechanism for remote data entry, where entered data are added to a centralized database once the submit button is pressed. They can be designed to automate the various aspects of clinical trials such as eligibility evaluation, data collection, and tracking specimens. They also serve as a resource site for participating sites to access trial-specific information, facilitate communication, track data queries and their resolutions, and allow administrative management of trials [28, 29]. For these reasons, they play an important role in facilitating the conduct of international clinical trials. 

Before the statistical programmer receives data that are ready for analysis, the clinical data management group cleans the data. This is done through a query process, which is built into the clinical data management system. The clinical data management query process usually looks like this ... 

Most clinical data management systems used for clinical trials today store their data in relational database software such as Oracle or Microsoft SQL Server. A relational database is composed of a set of rectangular data matrices called tables that relate or associate with one another by certain key fields. The language most often used to work with relational databases is structured query language (SQL). The SAS/ACCESS SQL Pass-Through Facility and the SAS/ACCESS LIBNAME engine are the two methods that SAS provides for extracting data from relational databases. 

A data management system handles all the data generated during different HTS projects. This system needs to be centralized but user friendly and flexible to allow query execution and satisfy the users needs, while keeping... 

Searching in electronic systems is important for reuse and confirmation of data as well as for documentation of investigations and procedures. A data management system has to support searches for different types of information each of these search functions may be combined among one another. Searches can be defined to perform automatically, for instance, if a module opens. Each user should be allowed to store his individual search queries by simply assigning a query name. This query can be reused later or set as default query, which is automatically executed when the corresponding search module is activated. 

To complete the fully automatic setup of the data integration system, we consider the problem of consolidating a probabilistic mediated schema into a single mediated schema and creating p-mappings to the consolidated schema. We require that the answers to queries over the consolidated schema be equivalent to the ones over the probabilistic mediated schema. 

K2 [13] is a distributed query system that has been developed at the University of Pennsylvania. K2 relies on a set of data drivers, each of which handles the low-level details of communicating with a single class of underlying data sources (e.g., Sybase relational databases, Perl/shell scripts, the BLAST family of similarity search programs, etc.). A data driver accepts queries expressed in the query language of its underlying data source. It transmits each such query to the source for evaluation and then converts the query result into K2 s internal complex value representation. Data drivers are also responsible for providing K2 with data source metadata (i.e., types and schemas), which are used to type check queries. 

Data federation systems with query interfaces do allow the human being to extract the knowledge using the invaluable natural computer between his or her ears, but the veritable tsunami of data that is starting to pour in exhausts the number of experts and the time that they have to do such a chore. 

Downstream business models, 602, 603 DP, see Dynamic programming DPS (distributed problem solving), 174 DQLs (data query languages), 119 Drawing(s), 304, 1314-1315 DRG payment system, see Diagnostic related group payment system Drill down (term), 84 Drilling, 1322... 

During a data query task with system response times... 

Currently informatization of safety quality standardization evaluation work is at low level. Quality evaluation management is characterized by the traditional manual approach. Based on a cloud management platform and mobile terminal can be digitized in management of evaluation content. After input assessment data, the system will automatically generate related evaluation results and statistical information with print function. The system also can be added to the policy query and evaluation method study module at the same time, convenient query management personnel evaluation, improving the efficiency and accuracy of the work. 

In the accuracy data search system, data are searched by querying RDF metadata attached to accuracy data. The value of the attached metadata and the name of assemblies defined in the RDF relationships visualized as a tree structure are used for metadata search with SPARQL. Search results are displayed as a summary of... 

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