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 mind, this team hopes to make a bigger impact by integrating a good BKMS into their website.
The topic of Bioinformatics and Knowledge Management (KM) and KMS are becoming more popular as time goes on. The rise of Bioinformatics resulted from the influx of genetic information available (Luscombe, Greenbaum, & Gerstein, 2001). With this vast amount of biological data, scientists needed to be able to manage this data for organizational and retrieval purposes. With the rise of Bioinformatics, along the same time frame we see the rise of Knowledge Management Systems (Gallupe, 2000) and from this we can infer that they are related. This is what gave rise to what we know now as the BKMS which is a system for managing knowledge in Bioinformatics.
Because BKMS isn’t a very popular topic, it is somewhat difficult to find a great amount of research on it. When trying to discover details about KMS in Bioinformatics or Bioinformatics KM or anything similar to that, most of the time it is one subject or the other. However, using the separate research to then apply to the two topics can be very useful in many ways. Furthermore, there is still some documentation about Bioinformatics relating to KMS which shows the topic is still developing and becoming more popular.
Aside from all of that, it is necessary to use each piece of research to gather data and build a knowledge base if the end result is implementing an effective, efficient, and useful BKMS into the USD Bioinformatics team. 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,...