By J. E. H. Stafford (auth.), Dr J. E. H. Stafford (eds.)
Laboratory details Managements structures (LIMS) are both custom-built or off-the-shelf suggestions to the issues of controlling the circulation of information via laboratories. during this ebook advertisement relevance is ensured through authors from significant commercial businesses who reveal by way of instance profitable software of the know-how. This e-book offers a great updated assessment of this intensely aggressive field.
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Additional info for Advanced LIMS Technology: Case Studies and Business Opportunities
An architect has to consider three interested parties: the owner, the designer and the builder. These roles can be extrapolated to the owner, the systems analyst and the programmer in a LIMS project. An architect will start by discussing the future owner's requirements and constraints on the building. A set of drawings will represent the owner's perception of the house, which can be reviewed and allow the owner to COMPREHENSIVE LIMS MODEL 21 decide to go on. In the LIMS model, the identification of the functional areas, the scope of the areas and the initial constraints on the interactions between the areas provides the user (owner) with what to expect from the LIMS.
However, in practice this may not be the case, depending on the individual implementation of the system. Note also that a system is tailored to an individual laboratory: one LIMS may have powerful Level II data capture and reporting facilities with Level I analysis and management. 5 ModeL organization As the model provides a functional plan for a LIMS, it can be used effectively to define the major functional components for any implementation by any laboratory environment. In addition, the major communication path or interaction between the functional areas is handled via the database, in order to allow each area to be developed and implemented in a modular fashion.
A. (1987) A framework for information systems architecture. 1MB Systems Journal, 26, 276-292. 7. E. (1987) The Electronic Laboratory. American Chemical Society, Washington, DC. 8. D. (1993) The evaluation and management of risk during a laboratory information management system or laboratory automation project. Chemometrics and Intelligent Laboratory Systems: Laboratory Information Management, 21, 1-19. 9. E. (1983) Laboratory information management systems, part I. Analytical Chemistry, 55, 70A-80A.