A presentation on semantics and the need for Open Access, given at the 1st Conference on Open Access Scholarly Publishing in Lund, Sweden (13-16 Sept).
Z Score,T Score, Percential Rank and Box Plot Graph
Knowledge sharing and the Commons
1. knowledge sharing and the
commons
kaitlin thaney
program manager, science commons
lund, sweden - COASP - 15 sep 2009
This presentation is licensed under the CreativeCommons-Attribution-3.0 license.
Wednesday, September 16, 2009
2. make sharing easy, legal and scalable
integrated approach
building part of the infrastructure for
knowledge sharing
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3. com⋅mons (noun) -
law, content, technology,
community
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4. knowledge?
journal articles
data
ontologies
annotations
plasmids and cell lines
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5. knowledge sharing is at the root of
scholarship and science
the system of scholarly publishing is a
system of sharing knowledge
it all starts with access to information
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6. scientific revolutions occur when a
sufficient body of data accumulates to
overthrow the dominant theories
we use to frame reality
a so-called paradigm shift
- from thomas kuhn
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7. need to change the way we think of
scholarly publishing,
of knowledge sharing
paradigm shift
begin thinking of “papers” as
containers of knowledge
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16. (1) KEGG - Kyoto Encyclopedia of Genes and Genomes
“Non-academic users and Academic users intending to use KEGG for
commercial purposes are requested to obtain a license agreement
through KEGG's exclusive licensing agent, Pathway Solutions, for installation
of KEGG at their sites, for distribution or reselling of KEGG data, for
software development or any other commercial activities that make use of
KEGG, or as end users of any third-party application that requires
downloading of KEGG data or access to KEGG data via the KEGG API.
(2) HapMap - human genetic variation data
“The click-wrap license was designed as a temporary tool to continue the
practice of providing rapid access to human genome data [...]. One
consequence of the license requirement was that the [...] license
prevented HapMap data from being integrated into major public
databases, which require that data deposited carry no conditions on
use ...” - Wellcome Trust, Sanger, Dec 2004
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42. the problem of...
any license
for data
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43. database protections based on jurisdiction
sui generis,
“sweat of the brow”
Crown copyright
the list goes on ....
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44. attribution = license
citation = norms
(which one applies whether or not
a copy is made?)
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45. need for a legally accurate and
simple solution
reducing or eliminating the need to make the
distinction of what’s protected
requires modular, standards based approach
to licensing
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48. CC Zero waiver + SC norms
waive rights public domain
attribution / citation through
community norms, not a contract
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49. calls for data providers to waive all rights
necessary for data extraction and re-use
requires provider place no additional
obligations (like share-alike) to limit
downstream use
request behavior (like attribution) through
norms and terms of use
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50. infrastructure for a data web
the digital commons
law + content + technology +
community
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51. data without structure and annotation is a
lost opportunity.
data should flow in an open, public, and
extensible infrastructure
support recombination and reconfiguration
into computer models, queryable by search
engine
treated as public good
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52. resist the temptation to treat
as property
embrace the potential to treat instead
as a network resource
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53. 4.
at best, we’re partially right.
at worst, we’re really wrong.
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54. the right to fix our mistakes.
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56. design for maximum reuse
ensure the freedom to integrate
leverage existing open infrastructure
allows for snap together integration of
the tools, data, research literature
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57. thank you
kaitlin@creativecommons.org
sciencecommons.org
neurocommons.org
Wednesday, September 16, 2009