sci val training extended pdf ukm april 2014

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| 0 Alexander van Servellen Solution Consultant, Elsevier SciVal Training UKM April 23, 2014 [email protected]

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Page 1: Sci val training extended pdf ukm  april 2014

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Alexander van Servellen Solution Consultant, Elsevier

SciVal Training

UKM April 23, 2014

[email protected]

Page 2: Sci val training extended pdf ukm  april 2014

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The SciVal Platform

• Information in SciVal is drawn from the Scopus dataset. Scopus is the largest abstract and citation database of

peer-reviewed literature including over 21,000 journals from 5000 publishers. Scopus has been used as the data-

source for numerous research evaluations, including those done for the governments of the UK, Australia, and

Singapore.

• HPCC super-computing technology makes for a very fast, flexible and pleasant to use solution.

• SciVal makes use of over 15 high quality metrics to help you evaluate research performance

• In addition to the 4,600 institutions and 220 countries, SciVal allows you to create your own research entities, by for

example using keywords, or by grouping: journals, journal categories, countries, institutions, authors etc.

• SciVal currently makes use of three modules: Overview, Benchmarking and Collaboration

Elsevier’s new generation of SciVal offers quick, easy access to the research

performance of 4,600 research institutions and 200 countries and territories

worldwide. A ready-to-use solution with unparalleled power and flexibility.

www.scival.com

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SciVal Facts

Evaluate and benchmark any desired research institution, country, researcher groupings or research topic

- Access to pre-defined 4600+ institutions, 220 countries and territories

- Ability to create any desired grouping(s) including research topics, researchers, publications etc.

Test “what if” scenarios using self-defined research groups - Create virtual teams using real-life researchers

- Create newly emerging research area or niche field that cannot be represented by journal based subject classifications

- Create your own publication sets for grant applications

SciVal provides access to the most recent data to allow users to track and monitor progress and make timely decision

- Weekly data update from Scopus

- All metrics calculated on weekly basis

- Publication data from 1996 to present

No configuration required to use SciVal. Just access www.scival.com and you can start viewing your institution’s research performance – right now

- Access to pre-defined entities including institutions and countries across the world

- No need to configure or validate data, it’s all done for you

- Access is by username password

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Registering & Login to SciVal

• Go to www.SciVal.com

You can use you

existing Elsevier login

if you have one

(Scopus.com login for

example)

Create a login if you

don’t already have

one

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Who uses SciVal?

Provosts and vice chancellors: to inform strategic planning; analyze and track research performance; create management-level reports; understand the institution’s research strengths; benchmark; and increase funding application and success rates.

Research administrators and research development professionals: to connect researchers; accelerate institutional and cross-institutional collaboration; support and win large grants; find the right opportunities and assemble the right teams, demonstrate researchers’ expertise and connect them with one another.

Department heads and research managers: to retain and recruit researchers; gain an objective view of team performance; benchmark; win large grants; and maintain accountability.

Researchers: to raise their visibility and highlight their own achievements; expand their networking; locate collaborators and mentors; and find appropriate funding opportunities.

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Who uses SciVal?

Librarians: to deepen their understanding of research topics and sources,

enabling them to better support faculty and students.

Communication offices: to stay current on core research activities;

publicize researchers, their work and accomplishments; and channel media

requests to appropriate subject experts.

Technology transfer offices: to promote research excellence to industry

partners; identify faculty who can support corporate initiatives; and match

research expertise with industry needs.

Students: to find mentors and study their expertise; and identify new

journals and authors to follow.

Policymakers: to become familiar with the nation’s scientific landscape and

its strengths; and channel research investments toward national issues.

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Learning how to use SciVal

• SciVal is not difficult to use, but like

most things, it take a bit of practice.

• We hope you will take some time to

explore SciVal, so you can find

insights that are important to you,

your team, department and

institution.

• Keep in mind that you can view any

institution or country world-wide,

any researcher, create teams of

researchers, custom create

research areas. SciVal is flexible!

• If you have questions, please email

me.

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SciVal currently has 3 Modules

• You can navigate from one module to the next, using the menu at the top of the interface.

• Each module provides a different view of the same data.

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Overview Module

Purpose

• High level, report style view of research output of a country, institution, team of

researchers, or self-created research area

• Identify key strengths and areas of high potential and growth

• Analyze multidisciplinary research competencies

• Identify top collaboration partners

Exercise:

• Analyze metrics to determine in which subjects your institution shows ‘research excellence’ (here you should look at publication volume & field-weighted citation impact.

• Identify the “top” authors of your institution.

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Benchmarking Module

Purpose:

• Flexible analysis; direct comparisons between countries, institutions,

researchers, teams, self-created research areas etc.

• Identification of trends anywhere between 1996 and present

• Department level benchmarking

• Research area benchmarking

Exercise:

• Compare publication output of your institution with selected peer

institutions. Choose the subject area(s) you are most interested in and

repeat.

• Compare the Field-weighted citation impact of your institution with

selected peer institutions. Choose the subject area(s) you are most

interested in and repeat. Select relevant countries or regions as

benchmarks.

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Collaboration Module

Purpose

• Understand the collaboration of any institution world-wide.

• Which collaborations produce the highest impact articles?

• Who is a good potential collaboration partner for me?

Exercise:

• Who is your top collaboration partner in purely in terms of volume?

• Which collaborations produced the articles with the highest impact

in your subject area of interest?

• Which co-authorships produced the highest cited papers?

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Creating Research Areas

• You can create a research area by creating keywords searches which

search the title and abstracts of all documents in Scopus, or by grouping:

- institutions,

- countries,

- journal categories,

- Journals

- competencies

- Maximum of 100,000 documents limitation

• Research Areas can be analyzed in all three modules!!

• Exercise: Create a research area using keywords, which represents a very

specific topic which you are interested in. Hint: make the topic something

very specific. Also be sure to view the search tips.

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Team or Department Level analysis

• SciVal supports creation of researchers, and easy grouping of researchers into teams.

• Teams can be analyzed in the overview and benchmarking modules.

• This allows scenario testing, such as “what would our team performance look like if we hired a particular professor”

• Exercise: create several researchers in SciVal and groups them in to teams

The departments you see here represent

the publications of all the researchers

active in that department. This structure is

based on

http://www.experts.scival.com/ukm/

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Metrics in SciVal

Please download the Metrics Guide Book at:

http://www.elsevier.com/online-tools/research-intelligence/resource-

library/resources/download/scival-metrics-guidebook

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www.elsevier.com/research-intelligence

Thank you very much Questions? Email me at

[email protected]