Transcript Programs and Research In the flow: from discovery to disclosure Lorcan Dempsey CIC March 19 2007

Programs and Research
In the flow:
from discovery to
disclosure
Lorcan Dempsey
CIC
March 19 2007
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 Environment
 Scholarly information flow
 An example: the catalog
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Environment:
The network rewrites
behaviors
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A few things….
 Workflow and Attention
 Aggregation of demand and supply: the long tail
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~18 months old
No FaceBook, MySpace
Library?
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University of Minnesota
http://www.lib.umn.edu/about/mellon/KM%20JStor%20Presentation.pps
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Netvibes, onfolio, my yahoo, myspace, RSS aggregator, …
Self assembled digital identity
Prefabricated (e.g. CMS)
Database > website > workflow
‘getting things done’
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Workflow
 Then
 Users built workflow around the library
 Now
 The library must build its services around user workflow
Get into the flow
Disclose into other environments
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Attention
 Then
 Resources scarce, attention abundant
 Now
 Attention scarce, resources abundant
Competition for attention
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Long tail information providers
Systemwide
efficiences
Aggregation of supply
•Unified discovery
•Low transaction costs
Aggregation of demand
•Mobilize users
•Brand
Network evolution?
Impact?
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Collections and
scholarly information flow
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Catalog
Metasearch
Resolver
Print
Licensed
ILS
Repositories …
Digital
Repositories …
ERM
Knowledgebase
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Research
&
learning
outputs
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…
Consumer environment
…
Management environment
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Personal
Workflow
RSS,
toolbars, ..
Network level
workflow
Google, …
Institutional
Workflow
Portals,
CMS, IR, …
Consumer environments
Management environment
Bought
Licensed
Faculty&
students
Digitized
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Integrated
local consumer
environment?
Library web
presence
Resource
sharing, …
library
…
Aggregations
Resource sharing
scholarly information flow?
Discovery,
harvesting
Discovery,
linking,
embedding
aggregators
Harvesting
data analysis,
transformation,
mining,modeling
Research &
e-science
Deposit,
self archiving
learning object
creation, re-use
Deposit,
self archiving
Learning &
teaching
Repositories
Validation
Publish,
discovery
Data creation, capture and
gathering:
lab experiments, fieldwork,
surveys, grids, media, …
Adapted with permission from Liz Lyons
eBank UK: Building the links between research data,
scholarly communication and learning.
Ariadne 36, 2003. http://www.ariadne.ac.uk/issue36/lyon/
Programs and research
Discovery,
linking,
embedding
peer-reviewed
journals,
conferences, …
A&I services
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Courses, modules,
Learning
management
systems, learning
portals, …
scholarly information flow?
Discovery,
harvesting
Discovery,
linking,
embedding
aggregators
Harvesting
data analysis,
transformation,
mining,modeling
Research &
e-science
Deposit,
self archiving
learning object
creation, re-use
Deposit,
self archiving
Learning &
teaching
Repositories
Validation
Publish,
discovery
Data creation, capture and
gathering:
lab experiments, fieldwork,
surveys, grids, media, …
Adapted with permission from Liz Lyons
eBank UK: Building the links between research data,
scholarly communication and learning.
Ariadne 36, 2003. http://www.ariadne.ac.uk/issue36/lyon/
Programs and research
Discovery,
linking,
embedding
peer-reviewed
journals,
conferences, …
A&I services
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Courses, modules,
Learning
management
systems, learning
portals, …
scholarly information flow?
Discovery,
harvesting
Discovery,
linking,
embedding
aggregators
Harvesting
data analysis,
transformation,
mining,modeling
Research &
e-science
Deposit,
self archiving
learning object
creation, re-use
Deposit,
self archiving
Learning &
teaching
Repositories
Validation
Publish,
discovery
Data creation, capture and
gathering:
lab experiments, fieldwork,
surveys, grids, media, …
Adapted with permission from Liz Lyons
eBank UK: Building the links between research data,
scholarly communication and learning.
Ariadne 36, 2003. http://www.ariadne.ac.uk/issue36/lyon/
Programs and research
Discovery,
linking,
embedding
peer-reviewed
journals,
conferences, …
A&I services
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Courses, modules,
Learning
management
systems, learning
portals, …
scholarly information flow?
Discovery,
harvesting
Discovery,
linking,
embedding
aggregators
Harvesting
data analysis,
transformation,
mining,modeling
Research &
e-science
Deposit,
self archiving
learning object
creation, re-use
Deposit,
self archiving
Learning &
teaching
Repositories
Validation
Publish,
discovery
Data creation, capture and
gathering:
lab experiments, fieldwork,
surveys, grids, media, …
Adapted with permission from Liz Lyons
eBank UK: Building the links between research data,
scholarly communication and learning.
Ariadne 36, 2003. http://www.ariadne.ac.uk/issue36/lyon/
Programs and research
Discovery,
linking,
embedding
peer-reviewed
journals,
conferences, …
A&I services
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Courses, modules,
Learning
management
systems, learning
portals, …
The network rewrites the library:
The catalog,
discovery and disclosure
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Chris Beckett
http://www.scholinfo.com/presentations/2006/8/10/the-new-world-order-in-collection-development-the-commercial-perspective.html
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Discovery:
focus on catalog with some related …
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Local Discovery Environments
Shared Discovery Environments
Syndicated Discovery Environments
Leveraged Discovery Environments
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Local Discovery environment
 Some (not necessarily aligned) motivations
 ‘Make data work harder’
 Integrate consumer environment
 Escape from ILS limitations
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NCSU
Rochester
SOLR
Worldcat 2.0
Primo
Encore …
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Some remarks
 Unified?
 How does MARC data play with other data
 Subjects, authors, ..
 Historic investment in structure?
 Duplicate cost?
 Relationship to Metasearch?
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Shared discovery environment
 Increase impact
 Create gravitational pull
 Aggregate demand and supply
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Unified discovery
Reduce transaction costs
Reach more users
Stronger brand
 Reduce costs
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Some comments
 Integration of discovery 2 delivery becoming
essential
 A move to shared environments seems more
likely with increased ability to ‘view’ different
levels
 Increased gravitational pull: greater use of
collections
 Growing evidence
 Discovery at the group ‘network level’
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Syndicated discovery experience
 Syndicate data or service or links
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Syndicating services
 RSS
 Portlets
 APIs, Protocol-based
 Projects
 Sakailibrary
 …
Not as rapid as one might expect?
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Syndicating links
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Some remarks
 Syndication of data now common among data
providers
 Routing issue for non-unique materials
 Resolution
 Worldcat
 Libraries exposing licensed content holdings
interesting
 Google Scholar
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 Service disclosure less
common
 Different levels of
integration:
 APIs
 Web services
 Portlets
 HTML fragments –
‘search boxes’
 Toolbars
 Widgets, extensions, …
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 But should become much
more common …
 Cf Amazon Web
Services
 At what level and
where?
The Leveraged discovery experience
 In some ways the most interesting
 Use another discovery service to connect back to
your resources
 Compare to the situation with article databases
and resolvers
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Some remarks
 Some of these are toy-like now, but indicate a
direction
 Increased capacity to ‘sense’ structure
(microformats) will improve ability.
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So ….
 The library website is not the front door
 We need to connect multiple discovery environments to
library fulfilment options
 We need to put library resources in users’ workflow
 We need to place library resources in places which
aggregate demand
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For many years,
Chinese people
cited a proverb:
if the wine
smells really
wonderful,
customers will
come in spite of
the length of the
lane.
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