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New Directions in Scholarly Communication
Head of Academic Outreach
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
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.
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
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
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