welcome to opera’s wp3 track - network analysis and ... · 28 march 2019 opera workshop at dtu...
TRANSCRIPT
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OPERA Workshop at DTU28 March 2019
Welcome to
OPERA’s WP3 Track - Network Analysis and Visualization
The OPERA project’s WP3
explores new tools and
concepts within the context of
open research analytics. The
main objective is to find the
most relevant network
analytics and visualizations
that may support and
complement classical research
analytics and facilitate the
inclusion of these in analytics
platforms like VIVO.
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OPERA Workshop at DTU28 March 2019
OPERA WP3 - Network Analysis and Visualization
Current progress and plans
Poul Melchiorsen, AAU & Nikoline Dohm Lauriden, DTU
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OPERA Workshop at DTU28 March 2019
OPERA WP3 – where we started
3
By courtesy of Pedro Parraguez Ruiz, co-founder and CEO of Dataverz –www.dataconomy.com/2018/10/the-cart-before-the-horse-in-data-science-projects-back-to-basics/
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OPERA Workshop at DTU28 March 2019 4
Challenge
Why → Desirability What How → Feasibility
Questions Indicators
Data-Visualisation
DataData Analytics and Infrastructure
OPERA WP3 – where we are now
Establishing a ‘Danish map of Science’ investigating:
a. The DK research area landscape
b. The DK collaboration research landscape
c. The impact of the DK research landscape
d. ???
WoS
Scopus
Dimensions
CRIS systems
Danish National Research Database
The Bibliometric Research Indicator (BFI)
Network maps, with overlay facets and filters
Possibillity of exploringthe map on publicationlevel
Open data and systems
VOSviewer
Integration with the VIVO platform
No. of publicationsper research area, co-authoring, citations, affiliations, etc.
What research areas –university and national level?
How are the universitiescollaborating?
What is the impact?
How has the research landscape evolvedover time?
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OPERA Workshop at DTU28 March 2019 5
DTU ▼
AAU
…
All impact ▼ Last 5 years ▼
OPERA WP3 – where we are heading
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DK Map of ScienceWP 3 - Network analysis and visualization
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Agenda
Predecessors
WP 3 - DK Map of Science
Data
Visualization
Improvements - suggestions?
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Science Maps
UCSD Map of Science (app. 2001-2010)
Börner K, Klavans R, Patek M, Zoss AM, Biberstine
JR, Light RP, et al. (2012) Design and Update of a
Classification System: The UCSD Map of Science.
PLoS ONE 7(7): e39464.
https://doi.org/10.1371/journal.pone.0039464
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Science Maps
SciVal 95.764 Topics (World 2013-2018)
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Science Maps
Eigenfactor: Maps of Science
http://www.eigenfactor.org/map/maps.php
AND MANY MORE…
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OPERA DK Science Map
Data from the Danish Bibliometric Research
Indicator – https://bfi.fi.dk
Time period: 2015-2017
157.516 entries
13.811 duplicate values
Structure:
Tool: VosViewer (CWTS - Leiden)
Overlay term maps
Different experiments
All languages mixed
Only English
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Interpretation of a Term Map (CWTS)
Size:
The larger a term, the higher the frequency of occurrence of the term
Distance:
In general, the smaller the distance between two terms, the higher the relatedness of the terms, as
measured by co-occurrences
The horizontal and vertical axes have no special meaning; maps can be freely rotated and flipped
Colors:
Colors indicate clusters of closely related terms
Overlay maps in our setting: Hot colors indicate
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All Languages
Danish
titles?
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English Titles
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- AAUEnglish Titles
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- AUEnglish Titles
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- CBSEnglish Titles
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- DTUEnglish Titles
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- ITUEnglish Titles
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- KUEnglish Titles
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- RUCEnglish Titles
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- SDUEnglish Titles
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Suggestions
Translate Danish titles
Is it good enough with titles only?
What does the visualization tell us – if anything?