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Metrics 2.0 for a Science 2.0

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(1)

Metrics 2.0 for a

Science 2.0

Isidro F. Aguillo

[email protected]

Hamburg, 25 to 26 March 2015

(2)

AGENDA

Science 2.0 Integrating and opening the whole research cycle for everyone

Diagnostics for a new accountability of Science From

DORA, ‘bad bibliometrics’ and a few suggestions

A new level: Author profiling

… to

Rankings and the Ranking Web (Webometrics)

(3)

Accountability Metrics 2.0 New Stakeholders

Citizen Science Blurring the lines Formal & Informal Communication

INTEGRATING

the whole research cycle and its stakeholders

OPENING

the whole set of data, tools, results and

metrics

Open Data

Big Data = ∑Open Data

SCIENCE 2.0

Data-intensive Big Open Data

‘Globalization’

Sharing everything with everybody

Digital natives scientists

Transparency Open Access

(4)

A humble suggestion

Hint: Badly needed Easy access to more powerful computer infrastructures Big Science is no longer the only

provider of Big Data

(5)

Evolving from Bibliometrics: Current scenario

SWOT Analysis

STRENGTHS WEAKNESSES

THREATS OPPORTUNITIES

OPEN ACCESS Big Data Social Networks BIBLIOMETRICS

Tested tools and indicators

BAD

BIBLIOMETRICS DORA Declaration

ALTMETRICS Trusteness, Meaning

Interpretation

(6)

Requirements for a

quantitative-based assessment

Multi-

source New bibliometric sources, specially from developing countries Non-bibliometric sources too

Multi-

dimension Involving all aspects of the research cycle

Involving all facets of communication and impact Better

attribution Of authors roles and contributions

Of resources, funding and policies involved Excellence-

guided More relative indicators and ranks

(7)

Journal-Level METRICS

Infamous IF SJR, SNIP

Article-level METRICS

CPP, MNCS PLoS ALM

University RANKINGS

Leiden, Scimago NTU, URAP

Author PROFILES

GS Citations ResearcherID ResearchGate

Changing the focus

(8)

I-Metrics

WEBOMETRICS Number of times the URL of a document/author webpage

is linked from another webpage

ALTMETRICS Number of times the elements are mentioned (shared) in websites, wikis,

blogs, social bookmarks and networks (incl. Twitter)

or search engines

USAGEMETRICS Number of times the

document is

read/visited/downloaded from its publishing place (incl.

websites) BIBLIOMETRICS

Number of times the bibliographic record (identifier) of a paper/book is

cited in another similar formally published paper

Document-level metrics

Title

Source:Journal/Book/Patent Publication Year

Citations

Identifier: URL/DOI/Handle Subject/Tags

Author-level metrics

Author(s) Institution (Affiliation) Publication Year Discipline/Tags Web profiles Web 2.0 profiles

(9)

About changing the altmetrics organization model

Problems

An ugly name (webtwometrics?)

Even worst: Confusing tangled set of mixed value tools

A rose is

a rose Bibliometrics to bibliometrics: Mendeley, ResearchGate, F1000, …

Tool-related naming: Twittermetrics, wikimetrics, …

Segregate

Usage is a very rich environment: Visits, visitors, downloads, …

Usagemetrics!

(10)

Another humble suggestion

(11)

Bibliometrics issues: (Incomplete) Diagnostics

(12)

Bibliometrics issues: The (lack of) Context

PAPERS CITATIONS

PATENTS ALT

DISCIPLINE BIASES GEOPOLITICAL

BIASES

(13)

Bibliometric Issues: The Sources

(14)

Bibliometric Issues: The Coverage

(15)

Bibliometric Issues: The Authorship Attribution

(16)

Three suggestions for bibliometric community

Two sets

Size dependent indicators, but ..

add size independent indicators too!

Authorship

Kill the full count!

Pure fractional count? Move to ‘one size fits all’: From 100% to 50% (?)

Ranks

Composite indicators?

(17)

A controversial suggestion

* Papers signed by 2 or more authors

(18)

And perhaps, even more controversial

(19)

Adding author-level metrics

PUBLIC AUTHOR PROFILES

CITATION (& MENTION) BASED METRICS

BETTER AUTHOR ATTRIBUTTION

(20)

A model?

(21)

A preliminary assessment

The good

One shop

Bibliometric, altmetric (usagemetrics) indicators

Relative indicator

The ugly

Composite indicator

No API

(22)

A second model?

(23)

Another assessment

The good

Public, free

Huge coverage

The ugly Incomplete (voluntary)

Only bibliometric indicators

Free text for disciplines and affiliations No API

Easy to manipulate

(24)

Institutional CRIS as another candidate model

(25)

CRIS

The good

Public, free

Complete institutional (self-sourcing) coverage

The ugly

No standards for comparison purposes

Basic indicators

For bureaucrats (and librarians)

(26)

‘Stick and carrot’

(27)

Adding relative indicators

Isidro F. Aguillo 56 432 7.71 2 (h>=38)

Author/Discipline-Country 2.18% 3.78% 105% 5.26%

(28)

About Composite Indicators: The Rankings

High School Exercise

Cut & Paste Exercise

Bad Bibliometrics

No Composite indicator

(29)

Ranking Web: Mission, Vision

MULTISOURCE Bibliometrics

Altmetrics Webometrics

True GLOBAL Coverage 24,000 HEIs

OPEN

Governance to Society to Industry Access Data A MODEL (1:1)

for the

Composite Indicator

ONE RANKING

Unique for the all the missions PERFORMANCE

Web presence: The Whole University

VISIBILITY

Web Impact: Huge, global and diverse audiences

IMPACT

On the colleagues and beyond

COMMITMENT

An feasible way to measure quality in first mission

OPENNESS

Institutional repositories are the treasure of the University

EXCELLENCE Top research

TRANSPARENCY Fighting unethical

INTERNATIONALIZATION Attracting talent

(30)

3624 166

290 20 987

2

8311 84

3798 16

705 3 6172

209

23887

500

WR January’15

Current coverage of the Ranking Web

(31)

Sources for the Ranking (2.0) Web

Biblio- metrics

Webo- metrics

Composite Indicator

Excellence indicator: Top 10% cited papers in 21 disciplines

Number of webpages under common web domain

GOOGLE

ACADEMIA FACEBOOK LINKEDIN MENDELEY

RESEARCHGATE SCRIBD

SLIDESHARE TWITTER

WIKIPEDIA (all)

WIKIPEDIA (English) YOUTUBE

Mentions in

SCIMAGO

Alt- metrics

MAJESTIC / AHREFS

Number of backlinks and referring domains to the common domain

Number of (open) documents

GOOGLE SCHOLAR

(32)

More facts about the Ranking Web (Webometrics)

authority

Edited by public-funded research body, not a private for-profit company

Scientific

Evolving methodology, not guided for stability

target It ranks universities, not websites

Popularity (visits, visitors) are not taken into account Web design (usability) is irrelevant for the ranking currency

Ranks are based on current data, collected every 6 months

(33)

Metrics 2.0

BETTER PROFILES MORE METRICS CUSTOMISATION GLOCAL TRANSPARENCY Recovering metrics prestige

Hint: Leiden Declaration (in prep) by the European Network of Indicator Designers

(34)

Questions?

SaCSbeoAAAAJ 124106

isidro-f-aguillo A-7280-2008

0000-0001-8927-4873

IsidroAguillo 3481717

@isidroaguillo

6507380175

References

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