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New Directions in Scholarly Communication 
William Gunn 
Head of Academic Outreach 
Mendeley 
@mrgunn
The internet was designed for scholarly communication! 
The purpose of ARPAnet was to share data and computing resources. 
usenet and mailing lists were the pre-web networks
Why do people use the web? 
•Connecting with a broad audience 
•Sharing & discovering pictures, music, video, links, datasets, or just thoughts with a broad audience.
Why not just email? 
If you know the expert, you can ask them directly, but if everyone does that it doesn’t work. 
In exchange for being open enough to ask publicly, you’re more likely to get a response.
A few examples 
Stack Exchange 
Asking in public is different! 
Questions lead to answers lead to more questions 
The design of the site made it a success. 
Now people use it to show off expertise & even to hire.
Link sharing – Delicious 
Like bookmarks, but online, which meant: 
Accessible from anywhere 
Part of a communal pool of links, which allowed you to go from your collection, to other collections 
Sharing in public is different! 
People + shared interest = community 
Not a community of professional link curators, but people interested in things represented by links.
Twitter 
Started as easier way to send multi- recipient text messages 
Community grew with the development of the #hashtag, a mechanism invented by twitter users to group tweets about a certain topic – instagram does the same with pictures
Cargo-cult Networks
Social networks? 
What fundamental activity do they make so compellingly easy it's worth having another inbox? 
Why like, share, or connect instead of reply? 
They're personalized content filters 
Social interactions arise as a consequence of sharing & discovering on the platform
Research documents 
Mendeley 
Sharing and discovering PDFs 
Not a site for publishers or librarians, but people who have expertise or interest in research topics.
Connecting Scholars in the Cloud 
•Research is a social activity, but the tools and the data aren’t. 
•Databases have funky proprietary interfaces and incompatible licenses which inhibit discovery 
•Capture the latent info in their process!
...and aggregates research data in the cloud 
Mendeley extracts research data… 
Mendeley is not just a reference manager! 
Install Mendeley Desktop 
Collecting rich signals from domain experts.
Rich user profile data
Mendeley is leading by example 
•Open Access – we show the importance of open access to scholars, publishers, and funders. 
•Altmetrics – we’re a leading provider of altmetrics 
•Reproducibility – We are working with the Center for Open Science to improve reproducibility in science via the Reproducibility Initiative.
Make it porous & part of the web. 
The reason people to put data on the web is to find more of the same. 
Communities must be open if they are to thrive.
New data on research impact 
Get better data on what's working 
Get it faster 
Serve all the stakeholders in research
Building a reproducibility dataset 
•Mendeley and Science Exchange have started the Reproducibility Initiative 
•working with Figshare & PLOS to host data & replication reports 
•building open datasets backing high- impact work 
•extending the “executable paper” concept to biomedical research
Research is too slow
Google Analytics for research
We’re in this for the long haul 
http://www.flickr.com/photos/robertjosiah/4519389115
http://www.flickr.com/photos/delfo/153254882/
Personalized Impact
www.mendeley.com 
william.gunn@mendeley.com @mrgunn

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New Directions Scholarly Communication

  • 1. New Directions in Scholarly Communication William Gunn Head of Academic Outreach Mendeley @mrgunn
  • 2.
  • 3.
  • 4. The internet was designed for scholarly communication! The purpose of ARPAnet was to share data and computing resources. usenet and mailing lists were the pre-web networks
  • 5. Why do people use the web? •Connecting with a broad audience •Sharing & discovering pictures, music, video, links, datasets, or just thoughts with a broad audience.
  • 6. Why not just email? If you know the expert, you can ask them directly, but if everyone does that it doesn’t work. In exchange for being open enough to ask publicly, you’re more likely to get a response.
  • 7. A few examples Stack Exchange Asking in public is different! Questions lead to answers lead to more questions The design of the site made it a success. Now people use it to show off expertise & even to hire.
  • 8. Link sharing – Delicious Like bookmarks, but online, which meant: Accessible from anywhere Part of a communal pool of links, which allowed you to go from your collection, to other collections Sharing in public is different! People + shared interest = community Not a community of professional link curators, but people interested in things represented by links.
  • 9. Twitter Started as easier way to send multi- recipient text messages Community grew with the development of the #hashtag, a mechanism invented by twitter users to group tweets about a certain topic – instagram does the same with pictures
  • 11. Social networks? What fundamental activity do they make so compellingly easy it's worth having another inbox? Why like, share, or connect instead of reply? They're personalized content filters Social interactions arise as a consequence of sharing & discovering on the platform
  • 12. Research documents Mendeley Sharing and discovering PDFs Not a site for publishers or librarians, but people who have expertise or interest in research topics.
  • 13. Connecting Scholars in the Cloud •Research is a social activity, but the tools and the data aren’t. •Databases have funky proprietary interfaces and incompatible licenses which inhibit discovery •Capture the latent info in their process!
  • 14. ...and aggregates research data in the cloud Mendeley extracts research data… Mendeley is not just a reference manager! Install Mendeley Desktop Collecting rich signals from domain experts.
  • 16. Mendeley is leading by example •Open Access – we show the importance of open access to scholars, publishers, and funders. •Altmetrics – we’re a leading provider of altmetrics •Reproducibility – We are working with the Center for Open Science to improve reproducibility in science via the Reproducibility Initiative.
  • 17. Make it porous & part of the web. The reason people to put data on the web is to find more of the same. Communities must be open if they are to thrive.
  • 18. New data on research impact Get better data on what's working Get it faster Serve all the stakeholders in research
  • 19. Building a reproducibility dataset •Mendeley and Science Exchange have started the Reproducibility Initiative •working with Figshare & PLOS to host data & replication reports •building open datasets backing high- impact work •extending the “executable paper” concept to biomedical research
  • 21.
  • 22.
  • 24. We’re in this for the long haul http://www.flickr.com/photos/robertjosiah/4519389115