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Bioinformatics Knowledge Management Systems Essay

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Summary

Bioinformatics and Knowledge Management Systems (KMS) themselves are very broad and complex topics. Combining the two topics together creates a very specific yet still open subject. Many other people have discussed KMS within specific sub-areas of the Bioinformatics field but none talk at length about the Bioinformatics KMS (BKMS) as a whole. In this paper I will evaluate KMS based on my research and critiques in hopes to build a better KMS with specific tools so that I can not only present a good idea of the topic but I can also propose new ideas. The aim of doing this is to talk about the USD Bioinformatics team and how this area was researched, developed, and in the future, implemented into our own system. With these goals in …show more content…

As stated earlier it is absolutely imperative to acquire as much knowledge as possible so that the builder is able to compare and contrast different topics. We will be analyzing KMS tools and BKMS so that we can have good tools for our KMS and because we have useful tools and extensive research, we are able to build a great BKMS that not only we can use, but many others will be able to use.

2.0 Literature Review

2.1 Knowledge Management System

Before diving into the KMS too much, it is necessary to detail it for the understanding of our process and the rest of this paper. The KMS that we chose was a simple repetitive process containing four steps: creation & acquisition, organization & storage, distribution & sharing, and application & usage (Abdullah, Ibrahim, et al., 2008). From this cyclical system we are able to manage knowledge in many different ways, all of which are beneficial in some way and contribute to the overall ease of use and efficient nature that defines the KMS. Here are each of the steps explained:

1. Creation & Acquisition
Knowledge creation happens through either the addition of new knowledge or the editing of current knowledge (Alavi & Leidner, 1999). We can acquire this knowledge through “research, experimentation,…and data mining” (Abdullah, Ibrahim, et al., 2008) and even things

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