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Xiaolin Zhang National Science Library, Chinese Academy of Sciences
2015.05.13
From Information to Metaknowledge --Embracing the Digitally and Computable Open
Knowledge Future
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2014-11-20
From Information to Metaknowledge
• 1. Background • 2. Challenges • 3. Strategic Opportunities • 4. Experiments and Development
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2014-11-20
1 Background (1): Chinese Academy of Sciences
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55,000+ Researchers, and 50,000 Graduate students Average distance of a user to NSL > 1000 km
Ubiquitous access to network and computing facilities
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2014-11-20
1 Background (1): Chinese Academy of Sciences
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A national research organization focusing in basic sciences, bio-medical sciences, geo-environmental sciences, high-tech areas
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1 Background (1): Chinese Academy of Sciences Pioneer Initiative: to take the lead in research & innovation, education,
strategic advice and the making of a world-class scientific institution.
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2014-11-20
1 Background (2): National Science Library, CAS
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CAS NSL Board of Governors
National Library of Science
Institutional Library
Institutional Library
Chengdu Branch
Wuhan Branch
Institutional Library
Lanzhou Branch
Academic Libraries
Regional Science Parks
Other Special Libraries in R&D
National STM Library
CAAS Library
CAMS Library
Natl. Eng Lib
Provincial Academies of Sciences
Shandong
Jiangxi
Guangxi
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1 Background (2): National Science Library, CAS
Basic strategy for resources and services: e-first, network-first, and embedded in user environments
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1 Background (2): National Science Library, CAS
42m/y
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1 Background (2): National Science Library, CAS
An organizational restructuring into the integral part of R&D processes
Distributed, Integrated Info Resources
Specialized Info
analysis service
Embedded Subject
librarians
Embedded & Integrative
User systems
From a digital library towards a knowledge service organization
CAS Integrated Research info environment
National STM research resource platform
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From Information to Metaknowledge
• 1. Background • 2. Challenges • 3. Strategic Opportunities • 4. Experiments and Development
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2 Challenges: Convergence of New Generations of Scholarly Communications
Generation Digital – All published digital
• Steven Hall, 2014.9.11 • IOPP 9 journals e-only/all books e-first • 5-10 years: 90% journals e-only
– Non-textual materials digital • NTM is original, basic and authoritative • Print-based communication is a mistake • out of historical practicality?
– Evolving scholarly record • Knowledge is inherently multi-media • and service platforms • Only e-journals are real journals • Only smart books are real books
• R & D & L are digital business
TIB, 2013
ORBIS, Stanford University
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2 Challenge: Convergence of New Generations of Scholarly Communications
• Generation Open – OA Journals: 10488, DOAJ, 2015.04 – OA papers: 72 millions, BASE, 2015.04 – OA papers % – 2013 Gold OA: 14.4%--18.8%, D. Lewis, 2013 – 2004-2011(2013): 45-50%, Science Metrix, 2013 – Transit: Nature Communications: Oct 20, 2014 – New ways of OA:
– Offsetting for Gold OA: JISC, VSNU, FWF, … – Transformation to OA: SCOAP3, MPG, …
– Time to reach 90% OA papers • 2019 to 2025, Science Metrix, 2013.08
• Funders’ push
• CAS、NSFC: 开放获取政策 • Open Data、OER/OCW、OSS、……
US OSTP Directive for Open Access
G8 Open Data Charter
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2 Challenges: Convergence of New Generations of Scholarly Communications
• Generation Analytics • New Normal of Research
– Interdisciplinary, Translational – Collaborative, Strategic – Open science & Open innovation
• New Normal of information needs – Research informatics
• Structures, trends, emerging topics • Overlaps, gaps, conflicts, turning
points, abnormality • R&D paths, roadmaps, possibilities,
– Computer-assisted k-production • CAD in research and policy study
• New Normal of Learning – Research-based – Solution-driven – Community-Interactive
D. Mayer. 2011
Leslie Johnston, 2013
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2 Challenges: Convergence of New Generations of Scholarly Communications
• The Changing Universe: e-science
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2 Challenges: Convergence of New Generations of Scholarly Communications
• The Changing Universe: publishing trends
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2 Challenges: Convergence of New Generations of Scholarly Communications
• The Changing Universe: the new normal of info consumption
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2 Challenges: Convergence of New Generations of Scholarly Communications
• The Changing Universe: Where is the library?
We already out-sourced the “core business” –collections!
We are losing the reason/right to maintain a traditional library?
We only hold on to a diminishing part of scholarly knowledge!
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2 Challenges: Convergence of New Generations of Scholarly Communications
• The Changing Universe
Michael Keith, IFLA 2013.08.19
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From Information to Metaknowledge
• 1. Background • 2. Challenges • 3. Strategic Opportunities • 4. Experiments and Development
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3 Strategic Opportunities
• Repurpose the library – Where is the Library: embedded in R&D processes
Environ Scanning
Trends & path analysis
Idea & design testing
d-workflow organizing
Digital R&D Data
Management
Data Analysis
Communication Distribution
Preservation Reuse
repurpose
Evaluation
An R&D workflow is an information workflow
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3 Strategic Opportunities
• Repurpose the library – Who needs what? In terms of research
Governors Presidents
Deans Directors
Primary Investigators
Lab scientists Graduate students
Literature-based
Research
Problem-driven
Research
Strategic , Interdisciplinary &
Translational Research
Search Retrieve
Discover Explore Design
Trend-detecting Road-mapping
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3 Strategic Opportunities
• Repurpose the library – Who needs what?
Development
Sensing
Technologiy scanning
Competition Analysis
R&D Path Exploration
R&D Competence
Discovery
R&D support
R&D Institutes
Regional &
industrial
To support societal innovation and development
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3 Strategic Opportunities
• Repurpose the library – Who needs what: to support R&D think-tanks
CAS: As a first-grade Scientific and development think-tank
Trends analysis and breakthrough & disruption detection
R&D solutions to important needs and challenges of development
Decision & policy making advises and recommendations
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3 Strategic Opportunities
• Repurpose the library – Informational productivity
• help people use information more intelligently and effectively so they will enhance their productivity in their work
– R&D win by analytics
• From data to information to intelligence to solutions
– Knowledge analytics is the competitive edge of R&D • Informatics on R&D • Informatics supporting decision & policy making
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3 Strategic Opportunities
• Repurpose the library – Development, organization, discovery, utilization, and
curation of data & other non-textual research materials – Promotion, development, and safeguarding of new
scholarly communication ecosystems – Literacy services on research and innovation in a digital,
analytic, and knowledge-drive environment – Support of open innovation – ……
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3 Strategic Opportunities
• Knowledge-driven Service 2.0
Scholarly Resources
Customized K-organization
Trends analysis and alerts
Structures & Patterns analysis and evaluation
Help organizations and users win on analytics From data to info to intelligence to solution
Strategic and Computational information analysis Support R&D decision-making and think-tank efforts
Integrated and customized digital infrastructure Support interactive knowledge discovery
Decision & policy analysis
2014-11-20 中国科学院 张晓林 26
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From Information to Metaknowledge
• 1. Background • 2. Challenges • 3. Strategic Opportunities • 4. Experiments and Development
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4 Experiments and Developments
• Developing new information infrastructure (1)
– Promoting and organizing Open Access
Libraries
Scientific Communications
Research Institution
OA Research Center
Policies and Guidelines
Strategy development
Standards & Best practices
OA Advocacy center
OA infrastructure
OA publishing support
IR development
OA resource integration
OA collaboration
Defining an open access resource strategy for research libraries: Part III—The Strategies and Practices of National Science Library. Xiaolin ZHANG, et al. CJLIS, 2012
OA evaluation
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• Developing new information infrastructure (2)
– Preserving and promotion of institutional Knowledge
Legally binding agreements and procedures 15 databases of e-journals and e-books E-journal: 16933; e-books: 74527 Lab guides: 34000; ……
Repositories: 96 (as of 201504) Deposited: >620,000 Full-text: >477,000 Downloads: >11,388,000 Intl downloads: >4,788,000
4 Experiments and Developments
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3 Strategic Opportunities
• Developing new information infrastructure (3)
– User-driven digital information systems
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• Research Information Analysis Services (1)
– Strategic STM Decision & Policy Making – Support societal & regional development decision making
4 Experiments and Developments
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• Research Information Analysis Services (2)
– Automatic R&D development tracking & alert services • Targets, Semantic Clues, Selection Rules, Mining Algorithms, …. • Customizable by individual topic fields & projects • 40+ traces at NSL and CAS institutes
4 Experiments and Developments
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• Research Information Analysis Services (3)
– R&D Alert Services by professional info analysts • Teams in various fields: physical sciences, life sciences, ICT,
manufacturing, Geo sciences, Energy tech, …. • Special Teams: Strategies & policies, R&D competition and
evaluation, tech analysis, ….
4 Experiments and Developments
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• Research Information Analysis Services (4-2) – For research institutes and regions
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4 Experiments and Developments
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4 Experiments and Developments
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4 Experiments and Developments
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4 Experiments and Developments
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4 Experiments and Developments
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4 Experiments and Developments
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4 Experiments and Developments
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4 Experiments and Developments • Developing Information Analysis Services (8)
– Developing analytic culture – Aim high: bridging decision making death valley
Information Decision
data info intelligence solution recommendations
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4 Experiments and Developments • Developing Information Analysis Services (8)
– Developing analytic culture
Big Data Analytic Framework. From Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations. BY WAYNE ECKERSON, Sept. 2011
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4 Experiments and Developments • Developing Information Analysis Services (8)
– Developing analytic capabilities
– Data resources to support data mining – Tools for advanced analytic capabilities – Teams with domain knowledge, research
experience, analytical training, and customized responsibilities
– Networks of experts – Embedded mechanisms to work together – …..
– From a collection library to a creation library to a R&D
knowledge service provider
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从Information到Metaknowledge
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• The future: – Turn the information resources into an integrated and
open data mining and knowledge-developing platform
– Develop computationally-driven research informatics capabilities to be used easily and with the full scale of resources
– Provide information analysis services embedded in the R&D and social development workflows
Thanks!