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Data integration

Data integrity checking, data selection, data normalization and storage... [Pg.659]

Quantity of Duplicate Systems (Possible problem with data Integrity where data held and duplicated in several systems) Greater than 5 systems 2 ... [Pg.229]

Gardner SP. Ontologies and semantic data integration. Drug Discov Today 2005 10 1001-7. [Pg.162]

Hu Z, Mellor J, Wu J, Yamada T, Holloway D, Delisi C. VisANT data-integrating visual framework for biological networks and modules. Nucleic... [Pg.164]

Approaches to Data Integration Standards 7.7.1 OMG, I3C (RIP) LSIT, and W3C Bringing Together Ail Three Disciplines Advanced Mining... [Pg.169]

Donnelly B. Data integration technologies an unfulfilled revolution in the drug discovery process Biosilico 2003 1 59-63. [Pg.184]

Data integration and more powerful search technologies are the IT backbone for deriving business value from the plethora of data fogging the pharmaceutical industry today. Fortunately, this is not a problem for this industry alone, and the best and brightest of IT minds and companies are focused squarely on this problem. In addition, further advances in how humans process data and information will also come to bear. [Pg.758]

Audits of each phase of the study should include personnel training, preparation of collection forms, application calibration, each sample collection procedure, sample transport, each type of chemical analysis, data recording, data entry, data verification and data storage. Data collection in the field is often tedious if automated logging devices are not in place. To ensure data integrity, the paper and ink used for field studies should be waterproof. Each data collection form should contain appropriate locations for information detailing the time and location of sample collection, sample transport and sample analysis. Data collection forms should be stored in an orderly fashion in a secure location immediately upon return of field teams from the field at the end of each day. It is also important for data quality for studies to collect necessary field data seven days per week when required. In our experience, poor study quality is likely when field sample and data collection do not proceed on weekends. [Pg.946]

Pulses were taken at temperatures between 210 and 450 C at 3(P intervals, and in each case the conversion of methanol and the product distribution were determined. Figure 5 shows a typical result of an experiment. The intensity of various mass nunbers is plotted as a function of time. In this case 660 mg of the comnercial catalyst was in the reactor and twelve masses were scanned at a rate of approximately 200 ms/scan, using the data integrator. In most of the experiments, the scanning rate was faster 80-100 ms/scan for 8-10 masses. [Pg.245]

ActivityBase enables the capture, validation, and visualization of high-throughput screening data. Integration with Microsoft Excel provides flexibility analysis template design. The chemically... [Pg.234]

The data model is highly normalised, which suits data integrity and manipulation via the SQL language, but creates difficulties for the end-user in terms of accessing the data. Straightforward queries may involve numerous tables which have to be joined together. As a practical work-around, the database includes several very large denormalized tables. [Pg.390]

Rate data for the condensation of formaldehyde (F) with sodium paraphenolsulfonate (M) were taken by Stults et al (CEP Symp Series 4 38, 1952) at 100°C and pH = 8.35. Equal quantities of the reactants were present initially. Check first and second order mechanisms with the tabulated data. Integrated rate equations are... [Pg.134]


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Batch reactors integral data analysis

Calorimetry data integration

Clinical trials data integrity

Data Analysis with an Integral Reactor

Data Integration Technologies

Data Smoothing Before Integration

Data analysis integral method

Data analysis methods integral method

Data collection with integrity

Data gathering, integrity

Data integration heterogeneity

Data integration standards

Data integrity

Data integrity assurance

Databases data integrity

Evidence data integrity

Experimental Chemical and Biological Data Integration

General Evaluation by Integration of Scattering Data

Heterogeneous, multiple data integration

Integral and Differential Reactor Data Evaluation Methods

Integral method, reaction rate data analysis

Integral reactor, catalytic reaction rate data

Integral representations in inversion of gravity and magnetic data

Integrals data structures

Integrated data package

Integration of Lead Optimization Data for Candidate Selection and Development

Integration of Multiple, Heterogeneous Biological Data Information

Integration of Omics for Data Supporting

Integration of Surrogate Data and Estimations with Physiological Simulation

Integration with property data

Integrators data processing

Master data integration

Molecular structure biological data integration

Numerical Integration of Calorimetric Data

Omics data, integrative pathway/network

Quality systems data integrity

Reverse Engineering Gene Regulatory Networks by Integrating Multi-Source Biological Data

The Integral Method of Data Analysis

Transactional data integration

Uncertainty in data integration

Validation data integrity

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