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UKOLN is supported by:
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.
www.bath.ac.uk
a centre of expertise in digital information management
www.ukoln.ac.uk
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Overview
1. Consumers, communities & collaboration
2. Integrated environments
3. Scholarly communications
4. Institutions & transformational change
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)– 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:– Preservation and curation– Description– Discovery– ??
• Explore the “Sociology of cyberspace” (UCLA course)• Adaptive network spaces (for work groups, meetings,
performances, games, ??)
2. Integrated environments
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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– 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
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Open Access - a global initiative
• 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 accessto….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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Research & e-Science workflows
Aggregator services: national, commercial
Repositories : institutional, e-prints, subject, data, learning objects
Data curation: databases & databanks
Validation
Harvestingmetadata
Data creation / capture / gathering: laboratory experiments, Grids, fieldwork, surveys, media
Deposit / self-archiving
Peer-reviewed publications: journals, conference proceedings
Publication
Validation
Data analysis, transformation, mining, modelling
Searching , harvesting, embedding
Presentation services: subject, media-specific, data, commercial portals
Resource discovery, linking, embedding
Linking
The scholarly knowledge cycle.
Liz Lyon, eBankUK article. Ariadne, July 2003.
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Learning & Teaching workflows
Aggregator services: national, commercial
Repositories : institutional, e-prints, subject, data, learning objects
Institutional presentation services: portals, Learning Management Systems, u/g, p/g courses, modules
Harvestingmetadata
Resource discovery, linking, embedding
Peer-reviewed publications: journals, conference proceedings
Validation
Resource discovery, linking, embedding
Deposit / self-archiving
Learning object creation, re-use
Searching , harvesting, embedding
Quality assurance bodies
Validation
Presentation services: subject, media-specific, data, commercial portals
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Learning & Teaching workflows
Research & e-Science workflows
Aggregator services: national, commercial
Repositories : institutional, e-prints, subject, data, learning objects
Data curation: databases & databanks
Institutional presentation services: portals, Learning Management Systems, u/g, p/g courses, modules
Validation
Harvestingmetadata
Data creation / capture / gathering: laboratory experiments, Grids, fieldwork, surveys, media
Resource discovery, linking, embedding
Deposit / self-archiving
Peer-reviewed publications: journals, conference proceedings
Publication
Validation
Data analysis, transformation, mining, modelling
Resource discovery, linking, embedding
Deposit / self-archiving
Learning object creation, re-use
Searching , harvesting, embedding
Quality assurance bodies
Validation
Presentation services: subject, media-specific, data, commercial portals
Resource discovery, linking, embedding
Linking
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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??
4. Institutions & transformational change
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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
"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
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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 & engineering2. Improved patient safety & health quality3. Informed strategic planning for long-term regional climate
change4. Anticipate consequences of universal participation in a
digital society5. Collaborative intelligence: integrating humans with intelligent
technologies6. Generating insights from information at your fingertips7. Managing knowledge-intensive organisations in dynamic
environments8. Virtual lifetime tutor for all9. ……
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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 multi-
decade, 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.