Data management product-based

The company has extensive processing, analytical and testing laboratory facilities and expertise, and produces a range of engineering and data management software products, and computerised knowledge-based systems. 

Canadian Centre for Occupational Health and Safety (CCINFO). This set of four CD-ROM disks contains several valuable data bases of information that are updated on a quarterly basis MSDS, CHEM Data, OHS Source, and OHS Data. The MSDS component currently contains over 60,000 MSDS supplied by chemical manufacturers and distributors. It also contains several other data bases [RIPP, RIPA, Pest Management Research Information System (PRIS)], one of which (PRIS) even includes information on pest management products, including their presence and allowable limits in food. 

Clinical studies may be supported by computer systems in a number of ways from data capture, data processing, production control, and document management. Some systems may be complex, others simple. Some systems may be custom-made, others based on COTS products. Whatever the character of a clinical computer system, the same basic GCP/GLP principles apply. All computer systems that play a part in the conduct or support of clinical studies intended for regulatory... 

The simulator framework CHEOPS couples different simulators at runtime. CHEOPS requires an input file which describes the simulation models and simulators for the components of the overall process, as well as their dependencies. Based on this information, CHEOPS starts the simulators in the correct order. In the case of feedback loops. CHEOPS iterates the simulation runs until a steady state is readied. The input file for CHEOPS is created by an integrator tool which operates on multiple data sources (product management database, integration documents, and the flow diagram). 

BASE Comprehensive database server manages biomaterial information, raw data, and images, and provides integrated and plug-in -able normalization, data viewing, and analysis tools. The system also has array production TIMS features that can be integrated with the data analysis. http //base.thep.lu.se/... 

Common SE approaches are based on standardized and static product data integration, whereas RPD requires dynamic data management in semantic networks in order to enable short control cycles. Short paths and multidisciplinary teams for quick decisions are essential for both approaches. Moreover, RPD requires team-oriented communication systems, which open up new ways of cooperation. They need to offer support not only for management decisions, but also for decision mtiking during the generation of product data. 

On the other hand, with joint product data management, conversion problems for system-specific data occur in process chains based on an EDM system. These problems exist in a similar form in coupled process chains. This makes it impossible to combine individual documents into an integrated data model. References within various systems, related to objects within a document rather than the document itself, cannot be made. 

---