0
Now, about that filter...
Managing scientific information overload on the web

  NFAIS Meeting 28 February 2010, Philadelp...
Some of the people
who contributed to
this presentation...
@communicating Plausible        Accuracy PIERRE LINDENBAUM Mummi Thorissson
     John  Fabiana Kubke Richard Grant        ...
Back to them later...
Me: A brief history
Finished highschool 1990...




http://www.flickr.com/photos/elsie/105716382 CC-BY
Undergrad 1991-94
First email addresss -1991




http://www.flickr.com/photos/bike/3046589822 CC-BY-SA
“You need to spend half a
          day a week in the library
          reading the new journals”
                        ...
PhD 1995-99
Discovered web - 1995
http://web.archive.org/web/19990421174831/www.sciencemag.org/
http://web.archive.org/web/19990208214440/http://ncbi.nlm.nih.gov/pubmed/
Over the course of my PhD...
...day to day search went from...
http://www.flickr.com/photos/stevecadman/486261295 CC-BY-SA
...to...
http://web.archive.org/web/19990208214440/http://ncbi.nlm.nih.gov/pubmed/
And on top of that...
...data. No longer just papers
Submissions to Genbank
100,000,000,000


 75,000,000,000


 50,000,000,000


 25,000,000,000


             0
            ...
Average Capacity of Human Scientist
5.00


3.75


2.50


1.25


  0
  1982     1986   1990   1994   1998   2002   2006
By 2001/2...
...everyone I know is
subscribed to TOC alerts
...and no-one I know
is reading them...
Information overload...




http://www.flickr.com/photos/dylanroscover/3450505729 CC-BY-SA
So how are
                                                those filters
                                                g...
Search is (by far)
the dominant filter
So the state of the art is an
RSS feed of a text search...
...and that’s only on the
abstracts not the full text
...which is a bit

http://www.flickr.com/photos/contortyourself/3902224062 CC-BY-SA
http://www.flickr.com/photos/vagawi/3155400274 CC-BY
                                                      So do I..?
Absolutely not!
Sidestep: Let me...
An assertion.
In the area of social web tools
for scientists I am confident that
every significant (public)
document and announcement
cr...
Without active searching.
http://friendfeed.com
http://tinyurl.com/dku869
A shared social net
http://www.flickr.com/photos/joi/2941559903 CC-BY
                                                   Sharing the load
Social aggregation...
...but still a filtering problem
http://www.flickr.com/photos/qnr/1263648697 CC-BY-SA




           Each interaction adds value...
...and each
                                                           interaction
                                       ...
Collaborative aggregation
Collaborative abstraction
 Collaborative indexing
Collaborative prioritisation
Based on the
                                             network I built




http://www.flickr.com/photos/luc/2515255357
...but...
...will only work where
a community exists

http://www.flickr.com/photos/mararie/3313582639/ CC-BY-SA
...and shares a set of tools




          http://www.flickr.com/photos/batega/1596898776 CC-BY
...or rather...a framework
http://www.flickr.com/photos/sparker/290754127 CC-BY
We’re a long way from the ideal...
So where next?




http://www.flickr.com/photos/davidmasters/2884480103 CC-BY
We need...
...better tools for
aggregation, summarisation,
        integration...
•Rapid
•Relevant
•Filtered
•Digestible
•Interoperable
•Comprehensive
...tools for building, maintaining,
    and measuring networks...
...if I’m relying
                                             on the network...




http://www.flickr.com/photos/luc/25152...
http://www.flickr.com/photos/mgifford/3558463424 CC-BY-SA
...tools to summarise, filter,
    and integrate diverse
  sources of information...
...abstracts, summaries,
 indexes of people and the
tools to help me use them to
  build the network I want...
Who might be well
                                         placed to do that?



http://www.flickr.com/photos/richardmoross...
Cameron.Neylon@stfc.ac.uk
http://blog.openwetware.org/scienceintheopen
http://slideshare.net/cameronneylon
Twitter:     @c...
Now, about that filter..
Now, about that filter..
Now, about that filter..
Now, about that filter..
Now, about that filter..
Now, about that filter..
Now, about that filter..
Now, about that filter..
Now, about that filter..
Now, about that filter..
Now, about that filter..
Now, about that filter..
Now, about that filter..
Now, about that filter..
Now, about that filter..
Now, about that filter..
Upcoming SlideShare
Loading in...5
×

Now, about that filter..

5,830

Published on

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
3 Comments
24 Likes
Statistics
Notes
No Downloads
Views
Total Views
5,830
On Slideshare
0
From Embeds
0
Number of Embeds
8
Actions
Shares
0
Downloads
100
Comments
3
Likes
24
Embeds 0
No embeds

No notes for slide

Transcript of "Now, about that filter.."

  1. 1. Now, about that filter... Managing scientific information overload on the web NFAIS Meeting 28 February 2010, Philadelphia
  2. 2. Some of the people who contributed to this presentation...
  3. 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. 4. Back to them later...
  5. 5. Me: A brief history
  6. 6. Finished highschool 1990... http://www.flickr.com/photos/elsie/105716382 CC-BY
  7. 7. Undergrad 1991-94
  8. 8. First email addresss -1991 http://www.flickr.com/photos/bike/3046589822 CC-BY-SA
  9. 9. “You need to spend half a day a week in the library reading the new journals” My project supervisor, 1994 http://www.flickr.com/photos/stevecadman/486261295 CC-BY-SA
  10. 10. PhD 1995-99
  11. 11. Discovered web - 1995
  12. 12. http://web.archive.org/web/19990421174831/www.sciencemag.org/
  13. 13. http://web.archive.org/web/19990208214440/http://ncbi.nlm.nih.gov/pubmed/
  14. 14. Over the course of my PhD...
  15. 15. ...day to day search went from...
  16. 16. http://www.flickr.com/photos/stevecadman/486261295 CC-BY-SA
  17. 17. ...to...
  18. 18. http://web.archive.org/web/19990208214440/http://ncbi.nlm.nih.gov/pubmed/
  19. 19. And on top of that...
  20. 20. ...data. No longer just papers
  21. 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. 22. Average Capacity of Human Scientist 5.00 3.75 2.50 1.25 0 1982 1986 1990 1994 1998 2002 2006
  23. 23. By 2001/2...
  24. 24. ...everyone I know is subscribed to TOC alerts
  25. 25. ...and no-one I know is reading them...
  26. 26. Information overload... http://www.flickr.com/photos/dylanroscover/3450505729 CC-BY-SA
  27. 27. So how are those filters getting on? http://www.flickr.com/photos/daveyll/332723930
  28. 28. Search is (by far) the dominant filter
  29. 29. So the state of the art is an RSS feed of a text search...
  30. 30. ...and that’s only on the abstracts not the full text
  31. 31. ...which is a bit http://www.flickr.com/photos/contortyourself/3902224062 CC-BY-SA
  32. 32. http://www.flickr.com/photos/vagawi/3155400274 CC-BY So do I..?
  33. 33. Absolutely not!
  34. 34. Sidestep: Let me...
  35. 35. An assertion.
  36. 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. 37. Without active searching.
  38. 38. http://friendfeed.com
  39. 39. http://tinyurl.com/dku869
  40. 40. A shared social net
  41. 41. http://www.flickr.com/photos/joi/2941559903 CC-BY Sharing the load
  42. 42. Social aggregation...
  43. 43. ...but still a filtering problem
  44. 44. http://www.flickr.com/photos/qnr/1263648697 CC-BY-SA Each interaction adds value...
  45. 45. ...and each interaction measures value... http://www.flickr.com/photos/pinksherbet/3209939998 CC-BY
  46. 46. Collaborative aggregation Collaborative abstraction Collaborative indexing Collaborative prioritisation
  47. 47. Based on the network I built http://www.flickr.com/photos/luc/2515255357
  48. 48. ...but...
  49. 49. ...will only work where a community exists http://www.flickr.com/photos/mararie/3313582639/ CC-BY-SA
  50. 50. ...and shares a set of tools http://www.flickr.com/photos/batega/1596898776 CC-BY
  51. 51. ...or rather...a framework http://www.flickr.com/photos/sparker/290754127 CC-BY
  52. 52. We’re a long way from the ideal...
  53. 53. So where next? http://www.flickr.com/photos/davidmasters/2884480103 CC-BY
  54. 54. We need...
  55. 55. ...better tools for aggregation, summarisation, integration...
  56. 56. •Rapid •Relevant •Filtered •Digestible •Interoperable •Comprehensive
  57. 57. ...tools for building, maintaining, and measuring networks...
  58. 58. ...if I’m relying on the network... http://www.flickr.com/photos/luc/2515255357
  59. 59. http://www.flickr.com/photos/mgifford/3558463424 CC-BY-SA
  60. 60. ...tools to summarise, filter, and integrate diverse sources of information...
  61. 61. ...abstracts, summaries, indexes of people and the tools to help me use them to build the network I want...
  62. 62. Who might be well placed to do that? http://www.flickr.com/photos/richardmoross/3947406286 CC-BY
  63. 63. Cameron.Neylon@stfc.ac.uk http://blog.openwetware.org/scienceintheopen http://slideshare.net/cameronneylon 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
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×