Social networks for scientists
  Deepak Singh and Cameron Neylon - Science Online 09
Facebook helps people find people
Scientists need to find people
Therefore scientists need facebook
Lots of Facebooks...
EthicShare: http://ethicshare.cs.umn.edu/a...
Neetz: http://www.neeetz.com/ (not a network, but a platform for creating sa...
Restricting ourselves to
social networking sites
does anyone use these?
Quality/usefulness?
Fatal flaws - 1
• Social networks rely on network effects
• No members means no network
• If I arrive and no-one else is th...
Fatal Flaws - II
      • Scientists are not very social...
      • Are looking for solutions; not for people

It’s not the...
Five guidelines for online services

1. Tool must solve an existing (and pressing) problem
   and fit an existing workflow
2...
Social Networks For Scientists
Social Networks For Scientists
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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.

Published in: Technology

Social Networks For Scientists

  1. 1. Social networks for scientists Deepak Singh and Cameron Neylon - Science Online 09
  2. 2. Facebook helps people find people
  3. 3. Scientists need to find people
  4. 4. Therefore scientists need facebook
  5. 5. Lots of Facebooks...
  6. 6. EthicShare: http://ethicshare.cs.umn.edu/a... Neetz: http://www.neeetz.com/ (not a network, but a platform for creating same) Plaxo: http://www.plaxo.com/ (Facebook alternative?) iBreadCrumbs: http://www.ibreadcrumbs.com/ (collaborative online research) SciSpace: http://scispace.net/ JeffsBench: http://jeffsbench.com./ (more a community than an app) MyExperiment: http://www.myexperiment.org/ Ning: http://www.ning.com/ (another platform for building networks) ResearchGate: https://www.researchgate.net/ LabMeeting: http://www.labmeeting.com SciBook: http://www.facebook.com/apps/a... (inside FaceBook) Labspaces: http://labspaces.net/ ResearchCrossroads: http://www.researchcrossroads.... AcademiaConnect http://academiaconnect.org/ Mendeley http://www.mendeley.com/ BiomedExperts: http://www.biomedexperts.com/ Ologeez!: http://ologeez.stanford.edu/ NewResearcher: http://www.newresearcher.com/ Lots and lots and lots and... LiquidPub: http://project.liquidpub.org/, http://liquidpub.org/ Wikigenes: http://www.wikigenes.org/ Blog collections: Nature Network, http://www.cogito.org/ ScienceBlogs, Scientific Blogging, Wordpress, http://www.scilink.com/ Blogspot, (OpenWetWare) http://www.scilife.net/ Blog aggregators: Postgenomic, http://www.lalisio.com/ ChemicalBlogspace, ResearchBlogging http://www.rxpgonline.com/ Social Networks: Laboratree, Ologeez, http://www.graduatejunction.com/ Research Gate, Epernicus, LabMeeting, http://www.scienxe.org/ Graduate Junction (Nature Network), SciBog, http://www.scientificblogging.com/ SciMeet, SciSpace, WAYS http://www.authoratory.com/ Protocol sharing: Scivee, Bioscreencast, http://www.academia.edu/ OpenWetWare, YouTube, Protocolsonline, http://www.bioforge.be/intermedi/ MyExperiment http://scholarz.net/ Literature sharing: citeulike, connotea, http://ways.org/ delicious, Bibsonomy, 2collab, Zotero http://www.shvoong.com/ (upcoming 2.0 version) http://www.spreadingscience.com/ Others: Friendfeed, Twitter, GoogleDocs, http://pronetos.com/ GoogleGroups, Upcoming, Seesmic, http://www.internations.org/ eventseer.net http://www.active-project.eu/
  7. 7. Restricting ourselves to social networking sites does anyone use these?
  8. 8. Quality/usefulness?
  9. 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. 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. 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
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