Tayfun Basal – Regional Account Director - PowerPoint Presentation

Slide1

Tayfun Basal – Regional Account Director

Introducing Scival and Pure

Astana, Kazakhstan

June

,

2015Slide2

Scival OverviewSlide3

SciValUsing advanced data analytics super-computer technology, SciVal allows you to instantly process an enormous amount of data to generate powerful data visualizations on-demand, in seconds.Slide4

Benefits for a broad range of users4

SciVal supports the needs of a broad range of institutional users by providing ready-made, at-a-glance snapshots for flexible, institution-specific insightSlide5

What are the questions addressed using SciVal?“I want to benchmark my institute, and my departments want to benchmark themselves. How can we all do this according to our different realities?”

“How can we demonstrate excellence in a way that best shows our unique strengths to secure funding and attract students?”“My VC is going to China; who do our academics collaborate with there and how can we expand?”

“My Provost is asking about early indications of what researchers are doing today; how can I get an idea what researchers are reading now within a research area?”Slide6

6View the disciplinary focus of your institutions and your top researchers

“How can we demonstrate excellence in a way that best shows our unique strengths to secure funding and attract students?”Slide7

Look through different metrics to identify ones that demonstrates your institution’s research excellence

7See how many of your

publications fall into the top 1% and 10% of the most cited articles in the

worldSlide8

View Field-Weighted

Citation Impact that normalizes citation behavior for differences in size, field and publication-type

Look through different metrics to identify ones that demonstrates your institution’s research excellenceSlide9

“I want to benchmark my institute, and my departments want to benchmark themselves. How can we all do this according to our different realities?”

Compare researchers, groups, institutions, countries, or regions

Create your own researcher groups or publication sets

You can easily benchmark departments and teams by pre-populating the organizational hierarchy in SciValSlide10

17 sets of metrics at your disposal10

Productivity metricsScholarly Outputh-indices (h, g, m)Citation Impact metricsCitation CountCitations per PublicationCited Publications

h

-indices

(

h

,

g

,

m

)

Field-Weighted Citation Impact

Publications in Top Percentiles

Publications in Top Journal PercentilesCollaboration Impact (geographical)

Academic-Corporate Collaboration Impact

Disciplinarity

metrics

Journal count

Journal category count

Collaboration metrics

Authorship Count

Number of Citing CountriesCollaboration (geographical)Academic-Corporate Collaboration

Snowball Metric;

www.snowballmetrics.com/metrics

Slice and dice your data from multiple angles to identify your core strengths and weaknesses Slide11

Drill into the Google map to identity your collaboration partners in China

“My VC is going to China; who do our academics collaborate with there and how can we expand?”Slide12

Scival TrendsSlide13

“My Provost is asking about early indications of what researchers in our country are doing today; how can I get an idea what researchers are reading now within a research area?”

Conduct Keyphrase

Analyses based on Research Areas and Various Filters

Renewable Energy in the NetherlandsSlide14

Scival Trends – Analyze the research trends of any Research Area with citation and usage data

Analyze with confidence – scientific impact is multi-dimensional. The combination of citation and usage data provides a more complete picture of research performance.Define and create your own Research Areas – the new Trends module builds upon SciVal’s unparalleled flexibility to create any research topic of interest, just the way you want it.

Get an early indication of research visibility with usage data

– the new Trends module includes usage data from ScienceDirect and Scopus to help spot

early research trends.

Discover

the top performers and rising

stars –

examine your Research Areas in detail to uncover the key and emerging players.Slide15

Why the combination of citation and usage data?Scientific impact is multi-dimensional, and should not measured by a single indicator(only citations) usage and citation data give complementary information

.Usage can be a leading indicator to citations, especially useful for fields where citations are slow to accumulate.Can be an indicator of emerging trends since it is a measure of readers’ early awareness or attention for the document:

Usage generally occurs

within first

few months of

publication

Citations

reach their

peak value

after 4 years.Slide16

Facts to remember about usage dataUsage shows early indication of research impact, since

usage counts peak shortly after publication, (the “novelty factor”) usually within 2 monthsNon-publishing researchers constitute one-third of the scientific communityPure readers do not publish (and hence do not cite) but they may apply journal content in their daily

work – e.g. clinicians

In

universities pure readers are represented by undergraduate and graduate

students

Views

metrics in SciVal now capture the activities of this “citation silent” communitySlide17

Trusted Partner:

The gold standard: more than 150 leading research organizations rely on Scival

MD Anderson

Keio

University

Kiel

University

Gazi

University

Queen’s University Belfast

Ural Federal University

CAPES Brazil

Nanyang

Technological University

UK BIS

ERA 2014

UK REF

Nigerian

Government

ISTIC

Peking

University

NRF -Korea

FCT Portugal

Danish BFI

Italy ANVUR

IISER

STINT

Michigan Corporate Relations Network

ReachNC

Russian Foundation

of Basic Research

TCI -

Thailand

NSF

European Commission & ERC

Sabanci

University

Al-Farabi

University

Eurasian

UniversitySlide18

Kazakhstan – Performance OverviewSlide19

Kazakhstan – Performance OverviewSlide20

Kazakhstan – Performance Overview – Quantity vs. QualitySlide21

Kazakhstan – Top InstitutionsSlide22

Pure OverviewSlide23
Slide24

Profiles reveal insightful connections

Find potential collaborators by accessing a list of experts with Fingerprints similar to the profiled researcher

Identify researcher expertise at a quick glance with a visual Fingerprint

You remain in control. Only authorized content is displayed onlineSlide25

View the details of each publication, including Altmetrics

View the publication and its citations in Scopus

View and link to Altmetrics where applicable

Each article has a unique FingerprintSlide26

Current PartnersMore than 160 clientsNational Science Foundation – USA Qatar FoundationRoyal Netherlands Academy of Arts and SciencesUK Research Excellence Framework (REF)

Australian REFItalian Ministry of HealthOhio State UniversityClemson UniversityUniversity of Maryland in BaltimoreUniversity of TokyoUniversity of HamburgUniversity of LondonUniversity of BirminghamUniversity of ViennaSlide27

Introducing Pure

Pure provides a hosted, ready-to-use, centralized research networking and expertise discovery system that can:

All whilst ensuring a

minimal administrative burden

to both research and faculty staffSlide28

CaptureSlide29

Data captured from multiple channels Pre-populated with deep publications from Elsevier’s Scopus, all with minimal implementation and maintenance requirements from the customer Slide30

Add additional outputs

to demonstrate the full range of your research outcomes

Enter data for articles, books and book chapters, conference presentations, patents and

more. This includes:

Research

output not indexed in

Scopus

Funding

applications,

Funding awards

(grants that were won),

Projects (which links

together all content into one package so you can see who is working on the project, what funding they applied for, what they won, any outputs as a result (including datasets

)

Datasets

(an archive of

the

research data

with no

file

size limit

can also be addedSlide31

Manual Data InputSlide32

Capture articles from a variety of sources and

import the data into profilesPure’s publication workflow makes it simple for researchers to find their articles Slide33

Prevent

and correct duplicate recordsPrevent duplication records from entering Pure via automatic duplication check upon publication entryC

reate

a ‘super record’

w

here

multiple entries

occur

,

with Pure’s easy-to-use de-duplication interfaceSlide34

IdentifySlide35

Identify – core technology

Identifying the correct researcher to collaborate with in today’s multi-disciplinary global environment can be difficult

Powered by the

Elsevier Fingerprint Engine™

, Pure uses semantic technology and field-of-research specific vocabularies to help researchers easily identify their peers’ expertise – down to the most precise terms

How the Elsevier Fingerprint Engine worksSlide36

Department

Institute

Research

Council

What new publications and grants have been produced?

What trends have emerged over time?

Who is working together?

With what other organizations (internal and external) are we collaborating?

What do we know?

Individual Fingerprints

Aggregated Fingerprints

Fingerprints can be aggregated at various

levels

Aggregating researchers’ Fingerprints across organizational units allows for the institution to know what individuals know

and

what groups

know.Slide37

ReportSlide38

Report

Generate and distribute validated performance metrics to accelerate grants and funding evaluations, departmental and institutional assessments, and other vital requirements

Pre-defined and advanced report

creation capabilities on

all Pure content

Schedule

reports to automatically

run

and

be sent

to a predefined distribution list

Apply

targets

to

researchers, universities and research councils

for predetermined

research performance

indicators such

as Snowball

Metrics via Pure’s research

intelligence

capabilities,

then track and monitor them

through

dashboardsSlide39

Pure’s data model allows for unparalleled flexibility and ease of use in creating reports

Access controls ensure users can only view and report on the content relevant to themSlide40

Schedule reports to be generated automatically and export reports in multiple formats

Reporting engine with a drag-and-drop interface enables users to build tailored reportsSlide41

AnalyzeSlide42

Analyze – View progress at-a-glance of key milestones through Pure’s powerful

dashboardsMonitor: Funding Grant Trends

Publication

trends (total, publications per FTE etc)

Citation trends (total, citations per FTE

etc

)

Collaboration patterns

Top journal titles / researchers /

h-

indicies

Drill down to person- or project-level detail, and click to generate instant progress

reports

Define performance objectives

for any research team or department – including Snowball Metrics – then track their progress Slide43

Customizable dashboards provide administrators with an overview of strategically important metrics

Dashboards can be

personalized, shared and used for monitoring and

reporting

User controls

ensure that only data relevant to the user are visibleSlide44

Analyze collaboration

networks Pure visualizes the relationships between each researcher and their collaborators, including co-authors of applications or publications as well as partners on projectsSlide45

Rich profiles promote researchers’ activities and

accomplishments

“The intuitive and well-designed user interface has had excellent feedback from academic users.”

Rachel Curwen, Research policy Officer, University of York, UK

Profiles contain applications, awards, projects, outputs,

bibliometrics

, impacts, CV

data,

press clippings, publication impacts, activities and much moreSlide46

Institution completes a configuration checklist

Process for Elsevier to tailor an institution’s profiles

Quarterly manual review

Institution provides Elsevier with a list of researchers’

names,

departments, universities, and

Research Councils

Elsevier manually reviews profiles and launches

Pure

Weekly automated updateSlide47

Thank you!