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Security data management

GeneTraffic The application allows users to import, visualize, analyze, interpret, and store microarray data in a complete, secure data management environment. Software allows easy development of custom interface to relational database. www.iobion.com... [Pg.645]

This paper highlights the procedures, QA/QC, and database management system implemented by Tournigan to ensure a reliable and secure data set. The effective QA/QC by Tournigan also helped to establish that Pressed Pellet and Borate Fusion XRF are a more accurate assaying method compared to ICP. [Pg.473]

There me also some disadvantages associated with the use of personal computers. Desktop computers have limited mobility. Portable personal computers are typically more expensive, have more limited capabilities than desktop machines, and present greater security concerns. Data management can be more complicated if results from different testing occasions are required in a central database or if an individual is tested in multiple settings with different computers. [Pg.105]

Failure to establish appropriate procedures to assure that computerized processing control systems and data storage systems are secure and managed to assure integrity of processes and data that could affect conformance to specifications. [FDA, 2001]... [Pg.297]

It is important to distinguish between LIMS and solutions that, at first sight, offer some of the individual features associated with a LIMS. Most commonly, LIMS are compared to scientific data management systems, which may cover the requirements for data management and data security but do not provide the sample-oriented processes that are typical for LIMS. [Pg.298]

On the data management side of ERP system, GxP data elements include item number, shelf life and retest days, sample date and number, sample specification version and status. Also included are sample method references, study references, purchase order information and ERP access security identifiers (user names). [Pg.244]

Section 3.9.3 Data Management. Deseribes the approaeh and methods planned to establish and maintain a data management system and the interrelationship with the design-capture syst and deeision database. Ineludes deseriptions of how and whieh teehnieal doeumentation will be controlled and the method of doeu-mentation of project engineering and teehnieal information. Plans for security and preparation of deliverable data will also be described. [Pg.73]

Second, privacy. This is not a technology issue, but a policy issue, and it s a very thorny issue. The ability to reach markets of one is both efficient and positive, but there s a dark side to this kind of marketing that threatens personal privacy. Protecting people s privacy will require personal responsibility and a privacy policy. We can t let ourselves, or anyone else, go down that dark path. Every one of us must participate in finding a balance between the needs of the institution and the needs of the consumer. Security does not automatically create privacy. You can have the Fort Knox of data management, but if you don t have rock-solid policies in place, you re not going to meet the individual s expectations about privacy. [Pg.120]

Enable (67) 6.1 Strategy Leadership (2) 6.2 Competitive Benchmarking (2) 6.3 Product/Service Innovation (5) 6.4 Product/Service Data Management (5) 6.5 Process Variability Control (3) 6.6 Measurement (6) 6.7 Technology (11) 6.8 Business Management (6) 6.9 Quality (18) 6.10 Security (4) 6.11 Industry Standards (5)... [Pg.270]


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