Law Research Visibility Workshop 3

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Law Faculty Research Visibility Series: Workshop 3 Pepler Head, Awot Gebregziabher, Gcobisa Xalabile, Susanne Noll, Elizabeth Moll UCT Libraries Bibliometrics Working Group 31 May 2017

Transcript of Law Research Visibility Workshop 3

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Law FacultyResearch Visibility Series:

Workshop 3

Pepler Head, Awot Gebregziabher, Gcobisa Xalabile,Susanne Noll, Elizabeth Moll

UCT Libraries Bibliometrics Working Group31 May 2017

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Programme:RECAP: Research IDs and Citation analysis Pepler Head

Metrics overview Awot Gebregziabher

Introduction to SciVal Pepler Head

Overview module Pepler Head

Adding researchers into SciVal Gcobisa Xalabile

Benchmarking Susanne Noll

Research Visibility roadmap Elizabeth Moll

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Recap: Research IDs and Citation analysis

Pepler Head

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Researcher ID’s

• Solves problem of author ambiguity, where authors share names or have similar names

• Assists in identification when name changes or affiliation changes occur

• Unifies publications under a single ID

Francis Bacon

Philosopher Artist

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Researcher ID’s

• 3 Researcher ID:• ORCID (Open Researcher and Contributor ID)• Author ID (Scopus)• Researcher ID (Web of Science)

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Citation Analysis

What is it?

Citation analysis is the study of the impact and assumed quality of an article, an author, or an institution based on the number of times works and/or authors have been cited by others.

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Citation Analysis

Why use it?

• To find out how much impact a particular article has had by showing which authors based some work upon it or cited it as an example within their own papers.

• To find out more about a field or topic; i.e. by reading the papers that cite a seminal work in that area.

• To determine how much impact a particular author has had by looking at the number of times his/her work has been cited by others.

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My h-index is bigger than yours

• Devised by Jorge Hirsch in 2005• Used to measure or quantify the impact of individual researchers

(and recently also applied to Journals) through citation• Can never be higher than number of papers• Used to separate “one-hit-wonders” from consistent performers• Used to evaluate scholarly output and researchers• Required by NRF for rating

H-index

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Metrics overview

Awot Gebregziabher

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Why h-indices , citation data, journal impact factor … ?

• to showcase research excellence

• for performance evaluation

• to make strategic decisions

• combining metrics enables triangulation of evidences

• each metric has its strength and weakness

Why metrics?

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• SciVal is a research intelligence tool

• provides a quick research performance overview for

entities

• research performance metrics are calculated and

visualised

• entirely based on Scopus data

SciVal

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• SciVal metrics are categorised in to six major groups

1. Productivity Metrics: output volume

2. Citation Impact Metrics: influence

3. Collaboration Metrics: research partnership

4. Disciplinary Metrics: spread of topics

5. Snowball Metrics

6. Power Metrics: Showcasing excellence

Metrics to use

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• set of standard metrics defined and endorsed by

research intensive universities

• provide holistic approach in addressing different aspect

of performance

• enable benchmarking institutions

• enable to identify strength and weakness of an

institution for strategic and research management

decision

• In SciVal Snowball metrics are indicated by snowflake

symbol

Snowball Metrics

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https://www.snowballmetrics.com

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https://www.snowballmetrics.com

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Categories of SciVal Metrics

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• all calculations are dependent on Scopus coverage

• comparing entities needs to

• account for size when using size dependant metrics

• e.g. citation count, publication count

• account for time when using time dependant metrics

• understand discipline’s publishing behaviour

• document types are cited differently

• manipulation: excessive self citation

Considerations for use

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Discipline

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Document types

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References

Colledge L. and Verlinde R. 2014. Elsevier Research Intelligence: SciVal

metrics guidebook. Elsevier. Available:

http://www.elsevier.com/__data/assets/pdf_file/0020/53327/sciv

al-metrics-guidebook-v1_01-february2014.pdf [2017, May22]

Elsevier B.V. 2017. Snowball metrics: standardised research metrics –

by the sector for the sector. Available:

https://www.snowballmetrics.com [2017, May 21]

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Introduction to SciVal & Overview module

Pepler Head

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SciValSciVal offers quick, easy access to the research performance of 8,500 research institutions and 220 nations worldwide

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Philosopher Artist

SciVal

Select Databases A-Z under the Search & Find menu option

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Philosopher Artist

Select S and select SciVal.

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Philosopher Artist

• Register for an account or sign in.

• Scopus login details can be used.

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Philosopher Artist

Overview

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• SciVal provides a publication overview of a researcher, research groups, institutions and countries.

• Collaboration data, article data, economic impact data and others

• Useful if your publications are indexed there.

Overview

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Overview

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Overview

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Overview - summary

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Overview - summary

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Overview – Collaboration

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Overview – Publications

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Overview – Views

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Overview – Cited

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Overview – Economic impact

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Research Group Overview

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Institution overview

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Country overview

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Research Area

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Adding researchers into SciVal

Gcobisa Xalabile

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Philosopher Artist

Defining a researcher

• Log in to Scival• Go to “Overview”• In the left hand column, click “Researchers and Groups.”• Click “Define a new researcher.”• Enter last, first name and affiliation information• Click search• You can “Validate Publications”, if you want to check the

publication list of the author• Click “Directly go to save the researcher.”• Save and finish• If desired, select a different time period from the drop time

list

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Defining a new group

• Once researchers have been added to Scival, they can be combined into groups – to represent departments or research teams.

• Click “Define a new group of researcher.”

• Drag and drop to the name to the right hand side

• Give the group a name

• Drag and drop the desired researcher names above each name

• Save and finish

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Benchmarking researchers

Susanne Noll

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Compare and benchmark your Institution to other Institutions, Researchers and Groups of Researchers using a variety of metrics.

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An example of another university (Athena)Biomedical and health informaticsBiostatisticsUKFrom 1996-2014They chose as metric:Views per publication

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Decide on a time frame

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I chose randomly a few academics from the Law Faculty (UCT)

View List of Scopus sources for the selected researchers and groups

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I added randomly 2 academics from Stellenbosch University:Geo QuinotHenk Botha

Create Groups!

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Look at their scholarly output

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What you can find in Scholarly Output

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Remember:

Compare equal with equal –

compare researchers at the same career stage;

in the same fields

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Research Visibility map

Elizabeth Moll

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• Pick a research site / social media, and keep it up to date.

• Link to your research in OpenUCT from that site / account

• Engage with other academics in your field

• Use altmetrics tools to determine your impact measurement

• Engage, engage, engage through online tools to boost measurement

• Benchmark

• Use Sherpa / Romeo to determine your ability to archive in OpenUCT

• If not sure – use author agreement of journal

• Archive to promote visibility of your research

• Check where journals are indexed – Scopus / WoS / Google Scholar

• Use JIF / CiteScore to find new journals

• Use think /check/ submit to check credibility

• Use ORCID for name ambiguity

PublishingArchiving in OpenUCT

Online presence

Impact measurements

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Need more help?

Contact your subject Librarian at:

http://www.lib.uct.ac.za/lib/subject-librarians

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Thank You