Abstract
The efficient flow of both formal and tacit knowledge is critical in the new era of information-powered pharmaceutical discovery. Yet, one of the major inhibitors of this is the constant flux within the industry, driven by rapidly evolving business models, mergers and collaborations. A continued stream of new employees and external partners brings a need to not only manage the new information they generate, but to find and exploit existing company results and reports. The ability to synthesise this vast information 'substrate' into actionable intelligence is crucial to industry productivity. In parallel, the new 'digital biology' era provides yet more and more data to find, analyse and exploit. In this chapter we look at the contribution that Semantic MediaWiki (SMW) technology has made to meeting the information challenges faced by Pfizer. We describe two use-cases that highlight the flexibility of this software and the ultimate benefit to the user.
Original language | English |
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Title of host publication | Open Source Software in Life Science Research |
Subtitle of host publication | Practical Solutions to Common Challenges in the Pharmaceutical Industry and Beyond |
Publisher | Elsevier Ltd |
Pages | 391-420 |
Number of pages | 30 |
ISBN (Print) | 9781907568978 |
DOIs | |
State | Published - Oct 2012 |
Keywords
- Collaboration
- Disease maps
- Drug target
- Knowledge management
- Semantic MediaWiki