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5º EBBC Dante Cid – Vice-Presidente de Relações Acadêmicas Julho 2016 Fontes de informação e seu papel no provimento de dados a pesquisadores especialistas em estudos Cientométricos

Fontes de informação e seu papel no provimento de … · de dados a pesquisadores especialistas em estudos Cientométricos ... Snowball: Uma iniciativa de universidades mundialmente

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5º EBBC

Dante Cid – Vice-Presidente de Relações Acadêmicas

Julho 2016

Fontes de informação e seu papel no provimento de dados a pesquisadores especialistas em estudos Cientométricos

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Sobre Métricas, há consenso de que não há consenso… mas:

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Snowball: Uma iniciativa de universidades mundialmente reconhecidas

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Uma cesta de métricas para apoiar a Cientometria

Usage Citations Audience Patents

Scholarly Activity Academic Opinion

Social Activity Media Activity

Outputs Funding awards

Editor Board

Authors

Community Contributions Consumption Scholarly Impact Social Impact

Type of metrics

Geographical spread

Collaboration network

Sector distribution

h-, g-, m- indices

Scholarly Output

Research data output

Conference output

Citation counts

Usage counts

SNIP, SJR, IF

Audience

Scholarly Discussion

Peer review metrics

Prizes and awards

Social media mentions

Media mentions

Medical guidelines

Influence policies

Mendeley Counts

Individual metrics

Funding sources

Patent metrics

Entities Articles Custom document set

Journals, Conferences,

Books Portfolio

Author, Editor,

Reviewer

Institution or group

Subject area

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A Evolução das métricas e ferramentas baseadas nos dados do Scopus

2016 – Journal metrics module 2015 – Article-level metrics module 2014 – SciVal launches 2013 – Increased Export limits 2012 – Modified SNIP & SJR, Altmetric, Analyze results 2011 – Export refine 2010 – SNIP & SJR Journal Metrics 2009 – Author Evaluator 2008 – Journal Analyzer 2007 – h-index graph 2006 – Citation Overview (Citation Tracker) 2004 – Scopus launches

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Os dados do Scopus são a base para uma série de soluções

SCOPUS DATA

Scopus.com SciVal.com

- Analytical Services - APIs - Scopus Custom Data

Mendeley

Pure …

METRICS

RESEARCH OUTCOMES

*Analytical Services refers to the use of Scopus Custom data (and other data) in reports, assessment exercises, rankings and other Custom Data commercial projects.

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JOURNALS

21,568 peer-reviewed journals 361 trade journals Full metadata, abstracts and cited references (ref’s post-1995 only)

Physical Sciences 7,443 Health Sciences 6,795 Social Sciences 8,086 Life Sciences 4,492

90K conference events 7.3M conference papers Mainly Engineering and Computer Sciences

531 book series 30K Volumes / 1.2M items 119,882 stand-alone books 974K items

Focus on Social Sciences and A&H

62M records from 22K serials, 90K conferences and 120K books

• Updated daily • “Articles in Press” from > 3,750 titles • 40 different languages covered • 3,715 active Gold Open Access journals indexed

BOOKS CONFERENCES

Source: November 2015 title list at https://www.elsevier.com/solutions/scopus/content

Scopus includes content from more than 5,000 publishers and 105 different countries

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More than 3,500 organizations, including over 150 leading funding, assessment and ranking bodies rely on Scopus data

MD Anderson

Keio University

Kiel University

Gazi University

Queen’s University Belfast

Ural Federal University

Nanyang Technological University

UK BIS

ERA 2014

UK REF

Nigerian Government

ISTIC Peking University

NRF -Korea

FCT Portugal

Danish BFI

Germany IFQ

Italy ANVUR

IISER

STINT Michigan Corporate Relations Network

ReachNC

Russian Foundation of Basic Research

TCI - Thailand

NSF

European Commission & ERC

NCN Poland Estonia Research Council

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National research assessment and benchmarking reports • UK REF, UK BIS reports • ERA (Australia) • FCT (Portugal) • VQR (Italy)

Elsevier is increasingly the partner of choice for global research leaders

Global University Rankings • Times Higher World University Rankings • QS rankings • US News rankings (Arab Region) • China University Rankings

Initiatives and reports (select examples) • UK Royal Society • Science Europe • European Commission, FENS, HBP, Kavli

Foundation, RIKEN BSI • World Bank • EuroStemCell, Kyoto University • Urban Innovation Network • The Council of State Governments • Snowball Metrics • British Council

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Scopus data is also involved in a number of key reports on mobility, gender and international collaboration

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https://www.elsevier.com/research-intelligence/case-studies

Learn how your peers are using Research Intelligence tools

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Novos Ingredientes para a Cientometria

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Article-level metrics provide new ways to measure research impact

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Formas Alternativas de Acesso aos Dados

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Dados “brutos” para manipulação: Scopus Custom Data

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Analytical Services: Assessoria Realizada pela Elsevier

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Acesso a grandes volumes de dados: Portal para Mineração de Dados e Texto

2006 Started supporting ad-hoc TDM access requests

• Low - but increasing level - of interest from early adopters

2012 First content mining policy published • Developed new APIs & rolled out better TDM technical

solutions

2013 Pilot (~30 academics) • Discover two main user cases for TDM and input to refine our

TDM technical solutions

2014 Publish updated TDM policy • Automatically give access to subscribed users • Launch a developers portal to facilitate access

2015 Launch STM Open Access Corpus • Valuable open access tool to help researchers refine and

develop their tools in order to TDM more effectively

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Text and Data Mining Portal

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Addressing two issues:

1. Problem: Researchers want to be able to access full text content from multiple publishers’ sites for OA or subscribed content in a consistent way. Solution: Common API (protocol) for requesting machine readable full text from many different publishers

Supporting cross-publisher TDM

http://www.crossref.org/tdm/index.html

2. Problem: Researchers want to know whether text and data mining is allowed, and if not, get permission. Solution: Licensing information embedded in article metadata and a registry for supplemental text and data mining terms and conditions (licenses).

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Text and Data Mining – Practical Example

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www.elsevier.com/scopus

Obrigado

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“A ‘basket of metrics’—the best support for understanding journal merit” by L. Colledge, 2015, European Science Editing (41(3)), 61. Copyright 2015 by the European Association of Science Editors • http://www.ease.org.uk/sites/default/files/origarticle_1.pdf

Referencias