Transcript Reflections on a changing landscape - information as a

Reflections on a changing
landscape - information as a
consumer utility.
Dr Liz Lyon, UKOLN, University of Bath, UK
JISC Joint Programmes Meeting
July 2004, Brighton.
UKOLN is supported by:
www.ukoln.ac.uk
a centre of expertise in digital information management
www.bath.ac.uk
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Overview
1.
2.
3.
4.
Consumers, communities & collaboration
Integrated environments
Scholarly communications
Institutions & transformational change
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1. Consumers, communities
and collaboration
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Access Grid developments
• Scientific Workspaces of the Future (Argonne
National Lab ANL)
– Shared applications and tools:
– Image viewer / Movie / 3D molecule viewer
– Mark-up / annotate
• Advanced Biomedical Collaboratory (ANL, Univ
Chicago
– Surgery, radiology, anatomy
– Advanced collaborative visualisation tools
– Education and training e.g. surgeons
• Art on the Grid (Arctic Node SC)
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Collaborative telematic art
How to modify spaces for performers (not meetings)
Synchronisation issues
New work Interplay: Hallucinations
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Collaborative technologies: early days?
• What are the ingredients of successful (e-)
collaboration?
• What are the barriers to take-up?
– Human factors
– Usability issues
• Exchange of experience – learning and research?
• If we approach human discourse as a resource there
are issues of:
–
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–
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Preservation and curation
Description
Discovery
??
• Explore the “Sociology of cyberspace” (UCLA course)
• Adaptive network spaces (for work groups, meetings,
performances, games, ??)
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2. Integrated environments
Towards a common infrastructure
• JISC Information Environment
– Technical architecture based on open standards (Web Services,
OAI-PMH, Z39.50, RSS…..)
http://www.ukoln.ac.uk/distributed-systems/jisc-ie/arch/
• e-Learning Programme
– Technical Framework to support E-Learning
http://www.cetis.ac.uk/members/frameworks/index.html
• Virtual Research Environment
– Framework options e.g. CHEF, Chandler, SAKAI, ??
• Common Information Environment
– A cross-sectoral vision
• Frameworks Scoping Study
– A common model with mapping, visualisation, planning tools
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Slide: Steve Tuecke, 2004
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Common characteristics?
• Standards-based, service-oriented
architecture
• Integrated functionality
• Managed / secure / sustainable
• Usable and accessible
• Personalised
• “Agent-assisted” / Intelligent”
• Extensible
• Collaborative
• Portable / ubiquitous access
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Different disciplines
• Arts and humanities, social
sciences
– Lone researcher culture?
• Data
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–
–
–
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Qualitative, observational
Incomplete, not repeatable
Time dependent
Ethics & data protection
Not always shared
• Tools and methodologies
– Partially developed
– Legacy tools
• Cognitive styles, browsing,
searching
– Performing and visual arts
• Skills
– Lack of experience of
distributed computing
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Different disciplines Different audiences
• Arts and humanities, social
sciences
– Lone researcher culture?
• Data
–
–
–
–
–
Qualitative, observational
Incomplete, not repeatable
Time dependent
Ethics & data protection
Not always shared
• Tools and methodologies
– Partially developed
– Legacy tools
• Cognitive styles, browsing,
searching
– Performing and visual arts
• Skills
– Lack of experience of
distributed computing
• Applications and tools
– Assessment
mechanisms for learners
– Data mining algorithms
for researchers
• Level of user experience
– Novice or experienced
• Design
– Use of colour, graphics,
animations, interactivity
• Cognitive styles
– Use of visuals over text
• Degree of personalisation
– Use of agent technology
• Presentation and
visualisation requirements
– Complex datasets
– Search results
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Sloan Digital Sky
Survey
http://www.sdss.org
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3. Scholarly communications
Open Access - a global initiative
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US Sabo Bill (“Public Access to Science”)
DAREnet Dutch scientific results
Australian government statement
Berlin Declaration (BOAI)
WSIS Declaration of Principles & Plan of Action
Wellcome Trust statement
JISC FAIR Programme
UK Parliament Science & Technology Committee
Inquiry on Scientific Publications
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“The governments of …34 countries…recognising that
open access
to….data promotes scientific progress… declare their
commitment to work towards the establishment of access
regimes for digital research data…in accordance with the
following principles….
openness, transparency, legal conformity, formal responsibility,
professionalism, protection of IPR, interoperability, quality and security,
efficiency, accountability…..”
OECD Declaration on access to research data from public funding.
January 2004
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Presentation services: subject, media-specific, data, commercial portals
Data creation /
capture /
gathering:
laboratory
experiments,
Grids,
fieldwork,
surveys, media
Resource
discovery, linking,
embedding
Data analysis,
transformation,
mining, modelling
Searching ,
harvesting,
embedding
The scholarly knowledge
cycle.
Aggregator
services: national,
commercial
Liz Lyon, eBankUK article.
Ariadne, July 2003.
Harvesting
metadata
Research &
e-Science
workflows
Validation
Deposit / selfarchiving
Repositories :
institutional,
e-prints, subject,
data, learning objects
Validation
Publication
Linking
Data curation:
databases & databanks
Peer-reviewed
publications: journals,
conference proceedings
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Presentation services: subject, media-specific, data, commercial portals
Searching ,
harvesting,
embedding
Aggregator
services: national,
commercial
Resource
discovery,
linking,
embedding
Learning object
creation, re-use
Harvesting
metadata
Learning &
Teaching
workflows
Repositories :
institutional,
e-prints, subject,
data, learning objects
Validation
Peer-reviewed
publications: journals,
conference proceedings
Deposit / selfarchiving
Institutional
presentation
services: portals,
Learning
Management
Systems, u/g, p/g
courses, modules
Resource
discovery, linking,
embedding
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Validation
Quality
assurance
bodies
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Presentation services: subject, media-specific, data, commercial portals
Data creation /
capture /
gathering:
laboratory
experiments,
Grids,
fieldwork,
surveys, media
Resource
discovery, linking,
embedding
Data analysis,
transformation,
mining, modelling
Searching ,
harvesting,
embedding
Aggregator
services: national,
commercial
Resource
discovery,
linking,
embedding
Learning object
creation, re-use
Harvesting
metadata
Research &
e-Science
workflows
Validation
Deposit / selfarchiving
Learning &
Teaching
workflows
Repositories :
institutional,
e-prints, subject,
data, learning objects
Validation
Publication
Resource
discovery, linking,
embedding
Linking
Data curation:
databases & databanks
Deposit / selfarchiving
Institutional
presentation
services: portals,
Learning
Management
Systems, u/g, p/g
courses, modules
Peer-reviewed
publications: journals,
conference proceedings
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Quality
assurance
bodies
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Potential longer term impact
1. Track data, information and workflows in e-research
and scholarly communications – knowledge audit??
2. Validate the accuracy and authenticity of derived
works – ideas audit??
3. Facilitate explicit referencing and acknowledgment of
original contributors – intellectual integrity??
4. Raise standards associated with publication of
research outputs – academic publishing rigour??
5. Implement open access to and dissemination of data
and information – enhance the research process??
6. Give students links to original data underpinning
published works – enhance the learning process??
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4. Institutions &
transformational change
Issues for our organisations
• External drivers
– Economic and political (Lambert Review Dec 2003)
– Innovation and knowledge transfer
– Collaborations, mergers, federations
• Intra-institutional
– Grid client problem
– Digital asset management
– Audit processes
• Human resources
– Awareness-raising and skills development
– Engagement and (hybrid) roles
– Managing workflows
• Legal
– IPR, consent, privacy
• Cultural change
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"The talk you hear...about adapting to
change is not only stupid, it's...dangerous.
The only way you can manage change is
to create it. By the time you catch up to
change, the competition is ahead of you."
Peter Drucker
Transformational change
• Alters the culture (beliefs and values) of
the institution by changing
– select underlying assumptions and
institutional behaviours
– processes and products
• Is deep and pervasive affecting the whole
institution
• Is intentional
• Occurs over time
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Looking at the future?
(US NITRD Grand Challenges)
1. Knowledge environments for science & engineering
2. Improved patient safety & health quality
3. Informed strategic planning for long-term regional
climate change
4. Anticipate consequences of universal participation in a
digital society
5. Collaborative intelligence: integrating humans with
intelligent technologies
6. Generating insights from information at your fingertips
7. Managing knowledge-intensive organisations in
dynamic environments
8. Virtual lifetime tutor for all
9. ……
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IT hard problem areas (some of them..)
• Scalability of tools & environments as the number of users & sites
increase
• User interfaces that provide prompts, alerts and reminders at the
point of (medical) decision-making
• Public support for open source electronic health records
• Data warehousing, data mining & knowledge management of multidecade, multi-disciplinary datasets
• Interfaces that let users interact in ways that are natural to each
group
• Universal participation will be over the grid
• Reconfigurable networking to support ad-hoc alliances
• Automated tools to analyse information & identify causal
relationships
• Analyse & present information in multiple languages
• Collaborative knowledge discovery, retrieval, representation &
integration to make inferences
• Context-aware information delivery………
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Thank you.