THE MANAGEMENT OF DATA

Jarke, M., Rose, T. Managing knowledge about information systems. In Proceedings of the ACM SIGMOD International Conference of the Management of Data, Chicago, USA, pp. 303-311. ACM Press, New York (1998)... 

A research environment requires the management of data of greater complexity and variety than the simple table used in the above examples. In particular, biological response data in a variety of forms must be accommodated. As an example of how additional data tables can be manipulated in Cousin, imagine that we have two simple tables of test result data with multiple test results per compound as shown in Table 6. 

The use of the computer in the design of chemical processes requires a framework for depiction and computation completely different from that of traditional CAD/CAM appHcations. Eor this reason, most practitioners use computer-aided process design to designate those approaches that are used to model the performance of individual unit operations, to compute heat and material balances, and to perform thermodynamic and transport analyses. Typical process simulators have, at their core, techniques for the management of massive arrays of data, computational engines to solve sparse matrices, and unit-operation-specific computational subroutines. 

Sources of Industrial Wastes Knowledge of the sources and types of sohd wastes, along with data on the composition and rates of generation, is basic to the design and operation of the functional elements associated with the management of sohd wastes. 

An overall review of the management of change documentation package should be performed to ensure documentation update items (including material safety data sheets) are addressed and that PHA action items are complete. This can be done by one person but is often best achieved by a PSSR Team. The process needs to account for ... 

The initial incident report is very important. This document captures the initiator s firsthand knowledge of what occurred in the moments after the specific event. Example 5-2, Sample Toller Initial Incident Report, is an example of the data that should be documented as soon as possible. Note that it should be modified using the company s management system procedure and incident investigation procedure, which should describe the type of data needed, and level of detail desired. 

Chemoinformatics (or cheminformatics) deals with the storage, retrieval, and analysis of chemical and biological data. Specifically, it involves the development and application of software systems for the management of combinatorial chemical projects, rational design of chemical libraries, and analysis of the obtained chemical and biological data. The major research topics of chemoinformatics involve QSAR and diversity analysis. The researchers should address several important issues. First, chemical structures should be characterized by calculable molecular descriptors that provide quantitative representation of chemical structures. Second, special measures should be developed on the basis of these descriptors in order to quantify structural similarities between pairs of molecules. Finally, adequate computational methods should be established for the efficient sampling of the huge combinatorial structural space of chemical libraries. 

The model of human error held by management and the plant culture constitutes the environment in which the data collection system operates. Within this environment, all data collection systems need to address the topics listed in Figure 6.1. These topics, from the types of data collected, to the feedback systems that need to be in place, will be addressed in subsequent sections of this chapter. 

The type of data collected on human error and the ways in which these data are used for accident prevention will vary depending upon the model of error and accident causation held by the management of an organization. This model will also influence the culture in the plant and the willingness of personnel to participate in data collection activities. In Chapters 1 and 2 a number of alternative viewpoints or models of human error were described. These models will now be briefly reviewed and their implications for the treatment of human error in the process industry will be discussed. 

The Madison Group and its European partner, M-Base, have developed, based on years of research and experience with material data systems, the concepts and software for the management of such application databases. This application database is searchable by part and application. Capability for general component information, multiple classifications, images and text and links to material properties is included. 

MARS provides the foundation of data management and reporting on which specialized analysis modules can be built. This represents a more efficient utilization of software resources and facilitates co-reporting and coplotting of results. 

---