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Now, about that filter..


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Slides from a talk given in Philadelphia on 28 February 2010 as part of a panel session at the annual conference of the National Association of Advanced Information Services. The brief was "scholar speak out"; to give a personal perspective on how I manage research information. As the keynote speaker was Clay Shirky I riffed around the notion of information overload and filter failure, focussing on my use of social aggregation and filtering to manage research information.

Published in: Technology, Business

Now, about that filter..

  1. Now, about that filter... Managing scientific information overload on the web NFAIS Meeting 28 February 2010, Philadelphia
  2. Some of the people who contributed to this presentation...
  3. @communicating Plausible Accuracy PIERRE LINDENBAUM Mummi Thorissson John Fabiana Kubke Richard Grant Pedro Beltrao Neil Saunders Steve Wilson @gnat Branwen Hide Simon Coles Dupuis Simon Philips Pawel Szcsesny Paul Miller Tony Hey Jeremy Frey Nico Adams Richard Akerman Cavalli Gabriel JonMat Todd Stephen BrennerTim O’Reilly Noel Gorelick Dave de Roure Rich Apodaca Udell ISIS LSS Group Jeremiah Faith Jean-Claude Bradley Nicholas Cole Michael Barton JOHN WILLINSKY Phil Lord Victoria  Stodden Martyn Bull Stephen Friend David CrottyClay Shirky @t John Cumbers Bora Chris Leonard Grace BaynesEva Amsen Egon  Willighagen Mark Borkum Brian Kelly Tony Williams Dan Hagon Maxine Clarke Andrew Milsted Zivkovic Mitch Koch Lab Michael Nielsen Martin Fenner Steph Hannon WaldropGreg Wilson Brian Matthews Leigh Dodds Bill Hooker Glyn Moody Yaroslav Nikolaev Jenny Rohn Rafael Sidi Lee Smolin Frank NormanRicardo Vidal Iain Emsley Paulo Nuin Ariel Waldmann Timo HannayKen Shankland Lorie LeJeune Jonathan Gray PT Sefton Microsoft STFC Deepak Singh Shirley Wu ISIS Computing Group Helen Berman Andrew Peter Binfield Benjamin Good Dorothea Salo Liz Lyons PLoS Kasarskis Jen Dodd Lee Dirks Peter Murray-Rust Richard Akerman Carole Goble Jon Eisen Jenny Hale Lakshmi Shastry Steve Koch NPG Ben Goldacre Chad OrzelBill Flanagan Jon Tansley Michael Eisen Matt Wood SciFoo 2008/9 Friendfeed Hope Leman Rufus Pollock Victor HenningGoogle Björn Brembs Jo BadgeAllyson Lister Lisa Green TIM HUBBARD Rebecca Goulding campers Euan Adie John Andy Powell Harry Collins Gavin Bell Jim Downing Matt Johnson Wilbanks Mike Ellis DUNCAN HULL Garret Lisi Jamie McQuay ALAN CANN Catherine Jones Andrew Farke Gavin Baker Peter Suber Sabine HossenfelderFlickr The BioGangKevin KellyPaul Walk Arfon Smith Kaitlin Thaney Richard Curry Atilla Csordas Ian Mulvany
  4. Back to them later...
  5. Me: A brief history
  6. Finished highschool 1990... CC-BY
  7. Undergrad 1991-94
  8. First email addresss -1991 CC-BY-SA
  9. “You need to spend half a day a week in the library reading the new journals” My project supervisor, 1994 CC-BY-SA
  10. PhD 1995-99
  11. Discovered web - 1995
  14. Over the course of my PhD...
  15. to day search went from...
  16. CC-BY-SA
  19. And on top of that...
  20. No longer just papers
  21. Submissions to Genbank 100,000,000,000 75,000,000,000 50,000,000,000 25,000,000,000 0 1982 1986 1990 1994 1998 2002 2006
  22. Average Capacity of Human Scientist 5.00 3.75 2.50 1.25 0 1982 1986 1990 1994 1998 2002 2006
  23. By 2001/2...
  24. ...everyone I know is subscribed to TOC alerts
  25. ...and no-one I know is reading them...
  26. Information overload... CC-BY-SA
  27. So how are those filters getting on?
  28. Search is (by far) the dominant filter
  29. So the state of the art is an RSS feed of a text search...
  30. ...and that’s only on the abstracts not the full text
  31. ...which is a bit CC-BY-SA
  32. CC-BY So do I..?
  33. Absolutely not!
  34. Sidestep: Let me...
  35. An assertion.
  36. In the area of social web tools for scientists I am confident that every significant (public) document and announcement crosses my attention stream.
  37. Without active searching.
  40. A shared social net
  41. CC-BY Sharing the load
  42. Social aggregation...
  43. ...but still a filtering problem
  44. CC-BY-SA Each interaction adds value...
  45. ...and each interaction measures value... CC-BY
  46. Collaborative aggregation Collaborative abstraction Collaborative indexing Collaborative prioritisation
  47. Based on the network I built
  48. ...but...
  49. ...will only work where a community exists CC-BY-SA
  50. ...and shares a set of tools CC-BY
  51. ...or rather...a framework CC-BY
  52. We’re a long way from the ideal...
  53. So where next? CC-BY
  54. We need...
  55. ...better tools for aggregation, summarisation, integration...
  56. •Rapid •Relevant •Filtered •Digestible •Interoperable •Comprehensive
  57. for building, maintaining, and measuring networks...
  58. ...if I’m relying on the network...
  59. CC-BY-SA
  60. to summarise, filter, and integrate diverse sources of information...
  61. ...abstracts, summaries, indexes of people and the tools to help me use them to build the network I want...
  62. Who might be well placed to do that? CC-BY
  63. Twitter: @cameronneylon Friendfeed: cameronneylon Thanks to: Sciencetwists, Friendfeeders, and the wider online community for ideas, criticism, and conversations. Deepak Singh, Larry Lessig, Andy Powell, and John Wilbanks for presentation inspiration. Flickr for images