Post on 15-May-2015
description
knowledge in a disaggregated world
NFAIS2 march 2010
philadelphia, pa
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1. aggregation is a natural, public reaction to a disaggregated world.
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we integrate, we remix, we retell.
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we aggregate, and we use...
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the best technology of the time.
we aggregate, and we use...
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the power shifts to the user-creator. not the consumer.
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we aggregate.
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we aggregate.
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we aggregate.
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the concept of “pages” had to change.
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and access had to be a first principle.
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“too much information” = Good Thing
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2.closed access = tax on aggregation.
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if knowledge exists and is not made public...
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no one knows it.
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it doesn’t improve.
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best technology of the time.
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registrationcertification
disseminationpreservation
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registrationcertification
disseminationpreservation
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registrationcertification
disseminationpreservation
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someone’s going to enabledistributed peer review.
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it’s important for innovation.
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no permissions required to aggregate the web.
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power shifting to the user = rights shifting
to the user.
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power shifting to the user = rights shifting
to the user.
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has to start with rights.
after all, it’s your knowledge.
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By "open access" to this literature, we mean its free availability on the public internet, permitting any users to read, download, copy, distribute, print, search, or link to the full texts of these articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose, without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself.
The only constraint on reproduction and distribution, and the only role for copyright in this domain, should be to give authors control over the integrity of their work and the right to be properly acknowledged and cited.
http://www.soros.org/openaccess/read.shtml
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tcp/ip
ethernet
html / http
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tcp/ip
ethernet
html / http
commons
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with many eyes, all filtering is easier.
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3. the article of the future is not an article.
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knowledge in“permanent beta”
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data-driven revolution.
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“we used to produce data faster than humans could structure it. now we produce data faster than machines can structure it.”
- bruce sterling
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“computers are stupid”
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path 1: make data re-useful
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models - increase data leveragerepository - increases data accessibility
training - increases ease of masterylicensing - unifies all the tools
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path 2: the “semantic” / “linked data” web
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coffee
cafe
kopi
cafezinho
koffee
espresso
latte
mocha americano
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“coffee”
“cafe”
“kopi”
http://ontology.foo.org/1234567
converge on common names.
http://neurocommons.org
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4. the law and data.
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not always about “copying” or “extraction”
revolutions in the format and querying of data.
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revolutions in the use of data.
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©totally unrelated to either
revolution.Tuesday, March 2, 2010
category errors
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in an automated world...
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waive all rights necessary for data extraction and re-use
no obligations (share-alike, contract) to limit downstream use
request behavior (citation) through norms
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in RDF, law is code, code is law.
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the same tools that describe data should animate the legal transactions
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http://wiki.creativecommons.org/CcREL
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what’s the future of knowledge on the web?
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or
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leverageadaptabilityaccessibility
ease of masterytransferability
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e2e
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c:/
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content
content©
wikipedia
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content
content©
wikipedia
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remember IBM on TCP/IP, circa 1992...
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the internet routes around damage.
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“technology is easy to copy. permission to connect is
almost impossible to achieve.”
- seth godin
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how many articles in life sciences in 2009?
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863,291
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863,291
<1 minute to get answer...via twitter.
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jan velterop
duncan hull
herbert van de sompel
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thank you
john d. and catherine t. macarthur foundationewing marion kauffman foundation
chdi foundationomidyar network
nike, inc.best buy, inc.yahoo!, inc.
mountain equipment corporationsage bionetworks
national cancer institute / university of michigansergey brin and anne wojcicki
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