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Simon Cockell @sjcockell
Bioinformatics Support Unit @nclbsu
http://bsu.ncl.ac.uk

Online Communication
The Internet and Science
Two key points
Isolation
Information
Social Networks are just that
Networks
Completeness Matters
“Facebook for Scientists”
“Facebook for Scientists”
… or for the purposes of this talk…
“Facebook for Scientists”
On the (awesome) power of Twitter
The long tail
Popularity




                  Topic
The long tail


                 „Beliebers‟
Popularity




                   Topic
The long tail


                 Celebrity Lunches
Popularity




                   Topic
The long tail


                 Actual useful stuff
Popularity




                   Topic
Need coverage to find rare variants
Folksonomies
On the Twitters this means…
#HASHTAGS
#phdchat
#overlyhonestmethods
Tagging is useful elsewhere too
Social Bookmarking
Other networks are available…
Google Plus
Circles for Categorising People
Communities
LinkedIn
Groups
Focussed communities can have utility…
…though not as general social networks
Stack Exchange
biology.stackexchange.com
Care what Google ‘says’ about you
Reputation Management
Reputation Management
Article commentary is often distributed
Places to check
An example
Google
F1000
Altmetric
Altmetric
Research Blogging
Research Blogging
Fin.

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Online Communication

Hinweis der Redaktion

  1. The internet – distraction or information goldmine? Both – but you have to be able to ignore the distractions to focus on the real business of science.
  2. The Ivory Tower is a myth – you need to be connected to your peers, and that’s a worldwide network. Conferences don’t cut it for this communication any more.
  3. Overloaded with new information – we need to deal with this in a sensible fashion… Discovery and prioritisation…
  4. I don’t like Facebook for scientific interaction, doesn’t mean it’s not possibleI prefer Twitter.Twitter is not all about what celebrities had for lunch – it’s all about the network *you* build, and what you do with it
  5. Interconnectedness of the people I follow on Twitter
  6. a system of classification derived from the practice and method of collaborativelycreating and managing tags to annotate and categorize content
  7. Stack Overflow for lots of topicsIncluding Biology, Academia etc98 sites.
  8. Focus on title & DOI for searching – problem can be that news items about science often don’t reference the primary literature – can be worth using author names in conjunction with key words too (and even institutions)Check the articles themselves for added commentary