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Overview of Elsevier’s Capabilities

Overview of Elsevier’s Capabilities Bibliometric Analysis Tools for Research Portfolio Analysis and Management Eric Livingston April, 2013. Overview of Elsevier’s Capabilities. Agenda. A brief, broad look at some of Elsevier’s experience and capabilities Overview of Capabilities

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Overview of Elsevier’s Capabilities

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  1. Overview of Elsevier’s CapabilitiesBibliometric Analysis Tools for Research Portfolio Analysis and Management Eric LivingstonApril, 2013 Overview of Elsevier’s Capabilities

  2. Agenda A brief, broad look at some of Elsevier’s experience and capabilities • Overview of Capabilities • Notable Engagements • Interesting Portfolio Possibilities at NIH • Other promising NIH possibilities • Review, and Q&A

  3. Overview of Capabilities (10 Min) Key Relevant Products and Services

  4. Elsevier Products and Services Capabilities that aid Portfolio Analytics • Scopus • Elsevier Fingerprint Engine • SciVal Analytics Group

  5. Scopus Nearest competitor Wider coverage gives a more accurate picture of the research landscape Scopus: Most Comprehensive Source in the World Scopus: Most Comprehensive Source in the World In Thousands l

  6. Scopus: Rich Data Allows for Deep Analysis Scopus: Rich Data Allows for Deep Analysis • Enables tracking of author history and movement • Enables complex collaboration analysis • No other database contains sufficient data over time to do this

  7. Scopus: Tracking Geographic Migration Scopus: Tracking Geographic Migration

  8. Scopus: Tracking Geographic Migration Scopus: Tracking Geographic Migration

  9. Fingerprint Engine (FPE): Semantic Analysis Fingerprint Engine (FPE): Semantic Analysis MeSH GeoTree Compendex GESIS Source Text Thesauri Fingerprint

  10. FPE: How it’s Done FPE: How it’s Done Workflow: Concept Look-Up

  11. FPE: Result is a Normalized Semantic Profile FPE: Result is a Normalized Semantic Profile • FPE: Result is a Normalized Semantic Profile

  12. SciVal Analytics: Broad Range of Solutions • SciVal Analytics: Broad Range of Solutions Data + Technology + BibliometricExpertise

  13. SciVal Analytics: National/Institutional Reports SciVal Analytics: National/Institutional Reports SciVal Analytics adds value to the data through careful analysis and the creation of reports which present clients with data driven key findings and insights • Institutional Performance Analysis and Benchmarking • Institutional performance analysis to evaluate and benchmark against selected peer institutions • Quantity and quality of research • Collaboration analysis • Interdisciplinary competencies • Star articles per subject areas • Unit of Assessment benchmark (UK) • National Research AssessmentAnalysis of a nation’s scientific research to inform decisions related to funding allocations, research policies and strategies • International comparative analysis • ROI of funded projects • Research position and Collaboration analysis of selected countries or region • Human capital brain circulation • Knowledge transfer • Research Excellence Initiatives

  14. SciVal Analytics: Web Portals and Integration SciVal Analytics: Web Portals and Integration SciVal Analytics provides data and platforms to support a country or an institution to perform their own objective evaluation • Web integration services to support national research assessment exercises • Elsevier creates a web integrated platform which tags university submitted data to Scopus and returns contextual data required for the assessment • Web data portal to support country/institution comparative studies • Elsevier delivers customweb-based data portals which allow selections of multiple indicators, countries or institutions, subject areas to compare and benchmark against Web Data Portal - Countries www.arc.gov.au Web Data Portal - Institutions

  15. Notable Engagements (10 Min) Previous Experience with Portfolio Analysis

  16. Previous Elsevier Experience with Portfolios At NIH • RCDC • Engine behind QVR (FP on the Fly) • GPMS (at NHBLI) • NIA IADRP Portal (Alzheimer’s Portal) Elsewhere • Veterans Administration (GMS) • BIS Report

  17. Elsevier Fingerprint Engine: RCDC and QVR Elsevier Fingerprint Engine: RCDC and QVR

  18. Elsevier Fingerprint Engine: NHLBI GPMS Elsevier Fingerprint Engine: NHLBI GPMS

  19. Elsevier Fingerprint Engine: Veterans Affairs Elsevier Fingerprint Engine: Veterans Affairs

  20. Auto-Categorization: NIA IADRP Portal Auto-Categorization: NIA IADRP Portal

  21. Analytical Expertise: UK BIS Report Analytical Expertise: UK BIS Report • An analysis commissioned from Elsevier by the UK Department of Business, Innovation and Skills (BIS) • TheUK is a global research leader but faces major challenges including funding levels and growth vs. others, eg. China • The UK’s aim is to sustain a “strong, productive research base which is responsive, flexible and dynamic” to drive long-term growth • Elsevier’s Objective: • Build robust, fact-based assessments and insights to help BIS target future investments to maximize growth and societal impact and explore implications for UK research policy Download the analysis at www.bis.gov.uk

  22. Analytical Expertise: UK BIS Report Analytical Expertise: UK BIS Report

  23. Portfolio Possibilities at NIH (5 Min) How Elsevier can aid NIH in Portfolio Analysis

  24. Portfolio Possibilities at NIH • Adding bibliometrics to grant-based publication analysis. (researcher profiling, etc.) • Normalized trans-institute analysis of funded & unfunded research (Common Fund, etc.), RFA vs. Unfunded • Expertise profiling of extramural program officers and intramural researchers to help facilitate collaboration.

  25. Demo: Institutional Portal (5 Min) Example of a quick and powerful task portal

  26. Elsevier Institutional Portal Example Elsevier Institutional Portal Example

  27. Other Similar Opportunities (5 Min) Notable, other similar opportunities

  28. Other Opportunities • Supporting and Optimizing the Peer Review Process, efficient many-to-many matching, overlap checking, etc. • Aiding DPCPSI and other NIH-wide organizations and initiatives (Common Fund, Neuroscience, Obesity, OBSSR, BECON, OAR, ODP, etc…) • Supporting Translational Science initiatives (CTSA, B2B, etc.) • President Obama’s Brain Initiative

  29. Peer Review Process: Gaps? Overlap? Optimal? Peer Review Process: Gaps? Overlap? Optimal?

  30. Trans-Institute: Common Fund, et. al. Trans-Institute: Common Fund, et. al.

  31. Translational Science: e.g. Bench to Bedside Translational Science: e.g. Bench to Bedside

  32. Multi-Agency, large-scale programs Multi-Agency, large-scale programs

  33. Review and Q&A (10 Min) Wrap-up, with time for questions

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