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Science
2. 0 uses the resources of Web
2. 0 to communicate between scientists, and with the general public. Web
3. 0, in turn, has brought disruptive technologies such as semantic search, cloud computing and mobile applications into play. The term Pharma
3. 0 anticipates the future relationship between drug makers and doctors with their patients in light of such technology. From Science
2. 0 to Pharma
3. 0 examines these developments, discussing the best and worst of Web
2. 0 in science communication and health. Successes such as the Open Access phenomena and also less successful networks are covered. This title is divided into three parts. The first part considers the Web
2. 0 revolution, and the promise of its impact on science communication and the state of Science
2.
0. The second part looks at impact on Pharma and Health, including attempts to utilise digital in Pharma. The last part looks at the promising disruptive technologies of Web
3. 0, including semantic search in biomedicine and enterprise platforms. The book concludes by looking forward to developments of ‘
3. 0’ in Pharma and STM publishing.
List of figures
List of abbreviations
Acknowledgements
About the authors
Introduction
Part 1: From Science
2. 0 (2000â2010) â¦
Introduction
Chapter 1: The Web
2. 0 revolution and the promise of Science
2. 0
Abstract:
The web as a platform: web services, the cloud and the app
Harnessing collective intelligence
Data as the ânext Intel Insideâ
Chapter 2: The state of Science
2. 0
Abstract:
A reluctance to change
Scepticism about the promise of Science
2. 0
The lack of a supportive environment
Conclusion
Part 2: ⦠and Pharma
2. 0 â¦
Introduction
Chapter 3: Health
2. 0 and beyond
Abstract:
2. 0 becomes social media
Big promises: is there a pot of gold?
Leading Health
2. 0 and social media sites and applications
Chapter 4: The digital pharma industry
Abstract:
The pharma industry adopts â¦
The pharma industry watches â¦
The pharma industry remains cautious: the dark face of SoMe
Part 3: ⦠to Pharma
3. 0 (2010â)
Introduction
Chapter 5: The semantic search in life sciences
Abstract:
Semantic? Whatâs this?
What do researchers expect?
A survey of biomedical semantic interfaces
The future will be semantic
The semantic for pharmas
Chapter 6: Enterprise
2. 0 and Web
3. 0
Abstract:
Enterprise
2. 0
MS SharePoint 2010
And the next revolutions are?
Conclusion
Chapter 7: The next
3. 0
Abstract:
Science
3. 0
Pharma
3. 0
Big STM
3. 0
Conclusion
References
Index
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