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
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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
Technologies are divided in three set communication, collaboration and storage. And this is three set is a tools to KMS a system that facilitates knowledge management by ensuring knowledge flow from different sectors in those who know to those who need to know.
As a part of “$1 billion revenues by 2014”, the success of this initiative progrom great depended on the knowledge management function. KM would help in the ideation process and would provide critical IT systems support through Neuron. According to the process of the “5*50” initiative program, the KM function would alter its roles and responsibilities in following fields:
| The study of knowledge: What constitutes knowledge, the nature of knowledge, and whether knowledge is possible
Majed, A. & Zairi, M. Knowledge and Process Management Volume: 6 Issue: 4 (1999-12-01) p.
Decision support systems are ideally interactive systems that allow the decision making physician to come to the conclusion based on a host of information pulled from data bases, personal knowledge, predesigned modals etc. Decision support systems have many benefits such as; patient-time efficiency, speed up process of decision making, promotes learning and training, reveals new approaches in thought process, generates new evidence in support of a decision and encourages exploration and discovery of the decision maker (Bosworth, York, Kotansky, & Berman, 2011). Although these systems require end user expertise, correct inputs and appropriate modals, they also require vast and exstenive information. Immunoinformatics are used to compile vast amounts of data for the immunology field (De Groot A. , Immunomics: discovering new targets for vaccines and therapeutics , 2006). This data includes genetic mapping, protein structures, cytometry data and many other data pools needed by immunologists to make correct decisions. Immunoinformatics face to challenge of compiling this enormous amounts of data in an organised and correct way. This data needs to be mapped into correct diagnostic modals for the physician to use in their decision support system (Barh, Misra, & Kumar, 2010). This data leads to new ways of hypothesis testing for immune responses
The oragnisation has lots of different corporate supports across the Australia like AMP foundation, seven network, Australian executor trustees, Kmart, Myer, village roadshow who provides promotion, help in their red shield appeal and sponsorship.
Gururajan, R. (2012). Biomedical knowledge management: Infrastructures and processes for e-health systems. Hershey: Medical Information Science Reference.
Knowledge: It is information that has been synthesized so that relations and interactions are defined and formalized; Knowledge answers questions of “why” or “how”. It explores options.
In the book written by Nonaka (2000), presented a summary of the ideas that underlie the notion of knowledge: (1) Knowledge is justified true believe; (2) Knowledge is something that is explicit (tacit knowledge); (3) knowledge creation effectively dependent on the context that allows the creation of occurrence; (4) knowledge creation involves five main steps are: a). Sharing knowledge explicitly (tacit knowledge), b) created the concept, c). Justifying concepts, d). Build a prototype, and e). Do the dissemination of knowledge.
Knowledge Management (KM) uses various ways to identify opportunities for improvement (OFI). What needs to be remembered is that KM improvements are not simple, they are in fact complex. “They must be integrated with changes in work processes in other units to yield benefits” (White & Griffith 2010, p. 334). Because important projects can take several years to complete it is important for KM to have a sophisticated planning process for continuous improvement. In order to have a successful
Knowledge can refer to a theoretical or practical understanding of a subject. It can be tacit (as with practical skill or expertise) or explicit (as with the theoretical understanding of a subject); it can be more or less formal or systematic. Botha et al (2008) pointed out that tacit and explicit knowledge should be seen as a spectrum rather than as definitive points. Therefore, in practice, all knowledge is a mixture of tacit and explicit elements rather than being one or the other. The most important distinction within KM is between explicit and tacit knowledge. The overload of data is making knowledge management increasingly more important as it facilitates decision-making capabilities; builds learning organizations by making learning routine, and stimulates cultural change and innovation.
Within the Army organizations of today knowledge management plays a huge role in the dissemination of information to the unit and it’s soldiers. This is no different for the aviation unit in which I operate. This information can be found in FM 6-01.1, Knowledge Management Operations. It defines knowledge management as the process of enabling knowledge flow to enhance shared understanding, learning, and decision-making. But when the unit was surveyed about their understanding of knowledge management the results were surprising.
Knowledge is defined to be facts, information, and skills acquired through experience or education. There are two categories that fall under knowledge; personal knowledge and shared knowledge. Shared knowledge refers to what “we know because.” It can also be defined as communicated and constructed knowledge; within culture, social norms, and semiotics. Personal knowledge refers to “I know because.” An expanded definition of personal knowledge refers to personal experiences, values, and perceptions. Shared knowledge changes and evolves over time because of methods that are continuously shared. It is assembled by a group of people. Personal knowledge, on the other hand, depends crucially on the experiences of a particular individual. It is gained
Organisational learning can be seen as the goal of knowledge management and may be obtained by good knowledge management strategies and processes. By motivating the creation, dissemination and application of knowledge, KM initiatives pay off by helping the organization embed knowledge into organisational processes so that it can continuously improve its practices and behaviours and pursue the achievement of its goals.
Hewlett Packard (HP) is a leading multinational organization providing products and services in many IT related technologies such as computer hardware and software, printers, scanners, storage devices etc. In 1995, the company decided to introduce knowledge management in its organization that will make its systems, processes, outcomes superior with organized and systematic knowledge handling and storage. HP faces severe competition and thus has to be ahead of the market using many strategies, one of which is application of Knowledge Management (KM). With over 600 business units located