Knowledge management

Managing knowledge efficiently and innovativeiy is a requirement in a knowledge based economy. 

So what is Knowledge Management The most favoured definition found in a survey by over 70% of the respondents was as follows [C-32]. 

The collection of processes that govern the creation, dissemination, and utilisation of knowledge to fulfil organisational objectives. 

The above-mentioned survey also found that there are seven main approaches to KM being used in industry [C-32], These areas are as follows. 

From this list it can be seen, not surprisingly, that knowledge and its management are of great relevance to the R D function, and in fact R D leads the way in KM. 

Success is no longer just about capturing better data—it s your ability to share that knowledge to help improve the organization s productivity. With improvements in instruments and personnel productivity, today s laboratories are producing significant quantities of scientific data. 

How can pharmaceutical companies convert the results of this productivity into knowledge Data need to be captured, processed, and interpreted for immediate use, as well as stored and managed to support future product development. The value of data increases when all researchers are able to access, share, and leverage each other s knowledge. Software/databases that can bridge all instruments, data sources, and information centers to meet these challenges head on, is encouraged. 

Programs that allow for structures or partial structures searching can be used to assist with the selection of starting points. These data could be easily searched for. The method development work that a chromatographer plans to 

However, as with any technology, a reality check needs to be performed and it has to be determined if implementing such a database will add value to the organization. An evaluation of the current workflows needs to be performed, and a critical gap analysis should be completed. 

The following questions should be analyzed in the preparation of database implementation  

With this information about the software development process, we will now look at some general concepts of data and knowledge management. 

---

A second company in this arena, Entelos, has over the past decade developed numerous disease PhysioLabs. These include comprehensive disease maps that are connected by validated mathematical equations, a knowledge management infrastructure with links to papers and documentation, and... 

Information Management—the Misunderstood Cousin of Knowledge Management... 

INFORMATION MANAGEMENT—THE MISUNDERSTOOD COUSIN OF KNOWLEDGE MANAGEMENT... 

Typically, funding to embark on information and/or knowledge management initiatives within the life sciences only occurs after a serious failure within the business, such as a project failure or a withdrawal of a medicine from the market. Recently, COX-2 programs across the industry are under close scrutiny since the highly publicized withdrawal of Vioxx [10]. Of course, there has been no withdrawal of aspirin, paracetamol, alcohol, or tobacco products, which are well known as toxic. 

This is why data standards and knowledge management are so important to information management. 

If you embrace standards, it will avoid technology lock-in and make migration and change easier to deal with. This is why information management and data standards are so important to knowledge management... 

Improving scientific productivity is not simply down to information management alone. Nor is knowledge management alone going to increase the number of new medicines reaching the marketplace. Standards initiatives are only driven by the need to avoid chaos and reduce data loss, not by compliance or... 

Blumberg R, Atre S. The problem with unstructured data. DM Rev 2003. Helfrich JP. Knowledge management systems coping with the data explosion. Biosilico 2004 2 8-11. 

Peitsch M. Knowledge management and informatics in drug discovery, Biosilico 2004 2 394-6. 

Scott RK. Exploiting Knowledge Management in Drug Discovery R D Extracting value from Information. Current Opinion in Drug Discovery 2004 7 314-17. 

Zimmerman KA. Learning from success. . . and failure Pharmaceuticals make the most of knowledge management. KMWorld 2003 12. 

These comments seem to argue for increased use of quantified decisions based on the accumulated evidence of the past, with support from IT and knowledge management however, the same survey revealed views that ... 

Knowledge Management IT systems are not as pivotal as thought. Expertise arises from a network of people, and difficult problems are not solved by IT. 

J. Sandberg, B. Wielinga and G. Schreiber, Methods and techniques for knowledge management what has knowledge engineering to offer Expert Syst. Applic., 13 (1) (1997) 73-79. 

The intent is to reduce misunderstandings between colleagues about the terms and parameters of the business. Making some of these business rules explicit and precise aids identification of software requirements (which parts of the rales are dealt with by which component, which by users), type models (the models provide the vocabulary that helps specify the rales), traceability from software to business, and enterprise-level knowledge management (explicit representation of business knowledge and rales). 

Korakianiti E. Rekkas D. Statistical thinking and knowledge management for quality-driven design and manufacturing in pharmaceuticals. Pharmaceutical Research, 2011), 28 (7), 1465-1479. 

Birk, D. Muller, M. 2002. KnowledgeSharing Med - turning knowledge into business. InT. H. Davenport, J. B. Gilber, J. Probst (eds.). Knowledge Management Case Book, 2nd edn. Hoboken, NJ Wiley. 

Alavi, M. Leidner, D. 2001. Review Knowledge management and knowledge management foundations and research issues. MIS Quarterly, 1 107-136. 

Fahey, L. Prusak, L. 1998. The seven deadliest sins of knowledge management. California Management Review, 40(3) 265-276. 

---