from information to metaknowledge --embracing the ... · open data mining and knowledge -developing...

Xiaolin Zhang National Science Library, Chinese Academy of Sciences

2015.05.13

From Information to Metaknowledge --Embracing the Digitally and Computable Open

Knowledge Future

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

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

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.

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


Chengdu Branch

Wuhan Branch


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


Basic strategy for resources and services: e-first, network-first, and embedded in user environments


42m/y


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

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

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


• 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


• The Changing Universe: e-science


• The Changing Universe: publishing trends


• The Changing Universe: the new normal of info consumption


• 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


• The Changing Universe

Michael Keith, IFLA 2013.08.19

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


• 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


• 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


• 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


• 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


• 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 – ……


• 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

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


– 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




– User-driven digital information systems

• Research Information Analysis Services (1)

– Strategic STM Decision & Policy Making – Support societal & regional development decision making



– 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



– 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, ….


• Research Information Analysis Services (4-2) – For research institutes and regions


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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


– 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


– 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

2014-11-20

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!

from information to metaknowledge --embracing the ... · open data mining and knowledge -developing...

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