SLIDE 1 Xiaolin Zhang National Science Library, Chinese Academy of Sciences 2015.05.13
From Information to Metaknowledge
- -Embracing the Digitally and Computable Open
Knowledge Future
SLIDE 2 2014-11-20
From Information to Metaknowledge
- 1. Background
- 2. Challenges
- 3. Strategic Opportunities
- 4. Experiments and Development
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SLIDE 3 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
SLIDE 4 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.
SLIDE 6 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
Provincial Academies
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
SLIDE 10 From Information to Metaknowledge
- 1. Background
- 2. Challenges
- 3. Strategic Opportunities
- 4. Experiments and Development
SLIDE 11 2 Challenges: Convergence of New Generations
- f 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
SLIDE 12 2 Challenge: Convergence of New Generations
- f 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
SLIDE 13 2 Challenges: Convergence of New Generations
- f 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
Leslie Johnston, 2013
SLIDE 14 2 Challenges: Convergence of New Generations
- f Scholarly Communications
- The Changing Universe: e-science
SLIDE 15 2 Challenges: Convergence of New Generations
- f Scholarly Communications
- The Changing Universe: publishing trends
SLIDE 16 2 Challenges: Convergence of New Generations
- f Scholarly Communications
- The Changing Universe: the new normal of info consumption
SLIDE 17 2 Challenges: Convergence of New Generations
- f 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!
2014-11-20 17
SLIDE 18 2 Challenges: Convergence of New Generations
- f Scholarly Communications
- The Changing Universe
Michael Keith, IFLA 2013.08.19
SLIDE 19 From Information to Metaknowledge
- 1. Background
- 2. Challenges
- 3. Strategic Opportunities
- 4. Experiments and Development
SLIDE 20 3 Strategic Opportunities
– Where is the Library: embedded in R&D processes Environ Scanning Trends & path analysis Idea & design testing d-workflow
Digital R&D Data Management Data Analysis Communication Distribution Preservation Reuse repurpose Evaluation An R&D workflow is an information workflow
SLIDE 21 3 Strategic Opportunities
– 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
SLIDE 22 3 Strategic Opportunities
– 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
SLIDE 23 3 Strategic Opportunities
– 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
SLIDE 24 3 Strategic Opportunities
– 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
SLIDE 25 3 Strategic Opportunities
– 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 – ……
SLIDE 26 3 Strategic Opportunities
- Knowledge-driven Service 2.0
Scholarly Resources
Customized K-
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
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SLIDE 27 From Information to Metaknowledge
- 1. Background
- 2. Challenges
- 3. Strategic Opportunities
- 4. Experiments and Development
SLIDE 28 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
SLIDE 30 3 Strategic Opportunities
- Developing new information infrastructure (3)
– User-driven digital information systems
SLIDE 31
- Research Information Analysis Services (1)
– Strategic STM Decision & Policy Making – Support societal & regional development decision making
4 Experiments and Developments
SLIDE 32
- 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
SLIDE 36 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
SLIDE 43 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
SLIDE 44 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
SLIDE 45 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
SLIDE 46 2014-11-20
从Information到Metaknowledge
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– Turn the information resources into an integrated and
- pen 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!