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Social Networks For Scientists


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Slides used as part of a session at Science Online 09, Research Triangle Park, North Carolina in late January 2009.

Slides used as part of a session at Science Online 09, Research Triangle Park, North Carolina in late January 2009.

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  • 1. Social networks for scientists Deepak Singh and Cameron Neylon - Science Online 09
  • 2. Facebook helps people find people
  • 3. Scientists need to find people
  • 4. Therefore scientists need facebook
  • 5. Lots of Facebooks...
  • 6. EthicShare: Neetz: (not a network, but a platform for creating same) Plaxo: (Facebook alternative?) iBreadCrumbs: (collaborative online research) SciSpace: JeffsBench: (more a community than an app) MyExperiment: Ning: (another platform for building networks) ResearchGate: LabMeeting: SciBook: (inside FaceBook) Labspaces: ResearchCrossroads: http://www.researchcrossroads.... AcademiaConnect Mendeley BiomedExperts: Ologeez!: NewResearcher: Lots and lots and lots and... LiquidPub:, Wikigenes: Blog collections: Nature Network, ScienceBlogs, Scientific Blogging, Wordpress, Blogspot, (OpenWetWare) Blog aggregators: Postgenomic, ChemicalBlogspace, ResearchBlogging Social Networks: Laboratree, Ologeez, Research Gate, Epernicus, LabMeeting, Graduate Junction (Nature Network), SciBog, SciMeet, SciSpace, WAYS Protocol sharing: Scivee, Bioscreencast, OpenWetWare, YouTube, Protocolsonline, MyExperiment Literature sharing: citeulike, connotea, delicious, Bibsonomy, 2collab, Zotero (upcoming 2.0 version) Others: Friendfeed, Twitter, GoogleDocs, GoogleGroups, Upcoming, Seesmic,
  • 7. Restricting ourselves to social networking sites does anyone use these?
  • 8. Quality/usefulness?
  • 9. Fatal flaws - 1 • Social networks rely on network effects • No members means no network • If I arrive and no-one else is there why would I come back • Must provide up front value - solve a problem I know I have - only a few of the current offerings do this
  • 10. Fatal Flaws - II • Scientists are not very social... • Are looking for solutions; not for people It’s not the scientists that are social - it’s the data (I think paraphrased from Neil Saunders)
  • 11. Five guidelines for online services 1. Tool must solve an existing (and pressing) problem and fit an existing workflow 2. Tool must clearly outperform any existing tools that are available to the user 3. The service must be near 100% reliability 4. Provide at least one killer feature 5. Prepopulate. Don’t provide new users with an online wasteland; they won’t come back