research assessment: new metrics? more metrics? no metrics? · anne cambon-thomsen cnrs &...

Research assessment: New metrics? More metrics? No metrics?

Anne Cambon-Thomsen CNRS & Université de Toulouse

Epidemiology and Public health, Inserm, UMR 1027

Metrics and Impact factors of what?

The example of BRIF, Bioresource Research

Impact Factor

27/07/2016 1

What is science producing and needing?

• Publications

• Infrastructures

• Databases and datasets

• Collections of biological samples and data attached

• Specialised software and methods

• Bioinformatics tools

• …..

Among thoses which ones are measured, evaluated, valued?

27/07/2016 ESOF 2016, Manchester, 24-27/7/2016 2

Human bioresources are key

components of biomedical research.

Yet, their role is underestimated and the

work provided to setting up and

maintaining a valid bioresource is not

recognized. Cambon-Thomsen et al. Nat Genet 2003, 34:25–26

• biological samples with

associated data (medical/epidemiological, social),

• databases independent of

physical samples

• other biomolecular and

bioinformatics research

BIORESOURCES (BR)

27/07/2016 ESOF 2016, Manchester, 24-27/7/2016 3

Why are such resource sharing important….

Much biomedical/epidemiological research is based on usingbioresources / approx. 300 million of tissue samples stored in the USA and 20 million of biological resources in Europe, for research and market use.

• Their access to all relevant researchers is essential

• Promoting their sharing is crucial, but does not mean « just » putting files on the web!

• It requires work…. Poorly recognised

There are today principles but few tools and ~ no incentive / tools to that.

ESOF 2016, Manchester, 24-27/7/201627/07/2016 4

and poorly done?

ESOF 2016, Manchester, 24-27/7/2016

• BR not visible enough

• difficult to trace

• not acknowledged adequately

• difficult to assess their usage reliably

due to:

lack of a unique BR identification system to trace them precisely

lack of standards for BR citation in the scientific literature

lack of indicators describingefficient usage and management of BR

27/07/2016 5

Anne Cambon-Thomsen, leader

Laurence Mabile, project manager

The Bioresource

Research Impact

Factor initiative

ESOF 2016, Manchester, 24-27/7/201627/07/2016 6

The BRIF initiative

• HOW? • By creating a set of adequate

standardized tools:

• standards for citation / acknowledgement of bioresourcesin scientific articles in order to trace their use on the web

• BRIF indicator: a tool to establish frequency of BR use and evaluate their impact based on metrics and on the use of a unique digital resource identifier

Work in progress, currently developing a framework for recognising the specific contribution of bioresources to Research (in scientific literature)

• Final objective:

• To create tools that will:

- promote a philosophy of sharing in the biomedical community

- facilitate the practice of sharing policies for data and samples

ESOF 2016, Manchester, 24-27/7/2016

www.gigasciencejournal.com/content/2/1/7

27/07/2016 7

Working subgroups

‘BRIF & Digital Identifiers’co-chaired by G. A. Thorisson, University of Leicester, UK and P.A. Gourraud, University of California

SF, USA Pierreantoine.Gourraud@ucsf.edu

‘BRIF Parameters’chaired by B. Parodi, National Inst. Cancer Res. Genoa, IT barbara.parodi@istge.it

‘BRIF in Access & Sharing Policies’co-chaired by E. Rial-Sebbag, Inserm UMR1027, Toulouse, FR and J. Harris, Norwegian Institute of

Public Health, Oslo, Norway emmanuelle.rial@univ-tlse3.fr, Jennifer.Harris@fhi.no

‘BRIF and Journal Editors’co-chaired by A. Cambon-Thomsen, Inserm UMR1027, Tlse, FR and

E. Bravo, Istituto Superiore di Sanità, Rome, IT

anne.cambon-thomsen@univ-tlse3.fr, elena.bravo@iss.it

‘BRIF dissemination’chaired by L. Mabile, Inserm UMR1027, Tlse, FR laurence.mabile@univ-tlse3.fr

ESOF 2016, Manchester, 24-27/7/201627/07/2016 8

CoBRA : Citation of Bioresources in Research Articles. A milestone developed

by the BRIF Journal Editors’ subgroup

Sensitizing editors and their associations about BR issues (targeted surveys) Dissemination of BRIF in international Science Edition and

other Conferences Organize restricted workshops addressed to Journal editors

and experts (Rome, June 21, 2013; Toulouse, Oct 9, 2016)Work out a guideline for citation of bioresources Launching an open access journal for describing bioresources

with re-use potential

ESOF 2016, Manchester, 24-27/7/201627/07/2016 9

ESOF 2016, Manchester, 24-27/7/201627/07/2016 10

The Open Journal of Bioresources (OJB) features peer-reviewed short papers helping researchers to locate and cite bioresources with high reuse potential.

Making bioresources more openly discoverable has enormous benefits not only for the research community and the wider public, but for the producers of the bioresources as well.

Both the resources and the OJB papers are citable and this will be tracked to provide authors with metrics on reuse and impact.

http://openbioresources.metajnl.com

Collaboration with Ubiquity Press

Launch of an open access data journal dedicated to the publication of description of bioresources

Aim: - Increase the visibility of bioresources by offering the possibility of an open access “marker paper” , according to an established template of description- Provides a bioresourcewith a DOI

ESOF 2016, Manchester, 24-27/7/201627/07/2016 11

How it worksOJB Bioresource papers are:

Peer reviewed

Paper structure:

Abstract

Bioresource overviewMethodsBioresource description

Reuse potential

Short and concise

Open Access only (CC BY)

Fully citable

ESOF 2016, Manchester, 24-27/7/201627/07/2016 12

Machine readable

ESOF 2016, Manchester, 24-27/7/201627/07/2016 13

Next: implementation of CoBRAWhat actions?

• A guideline that is not implemented is of no use!

• What mechanisms: endorsement at various levels• Institutional (Universities, national institutes,

infrastructures...)

• Scientific (Scientific consortia, scientific and professionalsocieties…)

• Administrative : Inclusion of the reference to use in MTA

• Educational : good practices taught to PhD students usingbioresources

• Editorial (instruction to authors, to reviewers; incentives to use EQUATOR’s references guidelines…)

ESOF 2016, Manchester, 24-27/7/201627/07/2016 14

Conclusion

• By providing an operational guideline to cite in a harmonised way the bioresources used or referred to in an article, CoBRA fills a gap, indispensible towards BRIF, to measure impact of such resources.

• Its implementation requires joint efforts from several stakeholders, in particular editors.

• It opens the possibility to attribute impact • To infrastructures and their use• To individuals contributing to such resources through link to ORCID or other

personal Unique Identifiers

• It empowers patients and research participants for following themselves what is done with their samples and data.

ESOF 2016, Manchester, 24-27/7/201627/07/2016 15

Subscribe to the BRIF Newsletter at:

http://listes.univ-tlse3.fr/wws/subscribe/brif.info

Contact us:

laurence.mabile@univ-tlse3.fr anne.cambon-thomsen@univ-tlse3.fr

Thank you!

ESOF 2016, Manchester, 24-27/7/201627/07/2016 16

References used• Napolitani F et al. Treat the poison of invisibility with CoBRA, a systematic way of citing

bioresources in journal articles. Biopreservation and biobanking, 2016, in press

• Bravo E et al. Developing a guideline to standardize the citation of bioresources in journal articles (CoBRA). BMC Med. 2015;13(1):266.

• Bravo E et al. Citation of bioresources in biomedical journals: moving towards standardization for an impact evaluation. European Science Editing 2013;39(2): 36-38.

• De Castro P et al. Open Data Sharing in the Context of Bioresources. Acta Inform Med. 2013, 21(4): 291-292.

• Mabile et al. Quantifying the use of bioresources for promoting their sharing in scientific research. GigaScience 2013, 2:7.

• Cambon-Thomsen A et al The role of a Bioresource Research Impact Factor as an incentive to share human bioresources. Nat Genet. 2011, 43(6):503-4.

• Kauffmann F., Cambon-Thomsen A. Tracing biological collections: between books and clinical trials. JAMA, 2008;299(19): 2316-2318.

• Cambon-Thomsen A. Assessing the impact of biobanks. Nat Genet, 2003, 34, (1) 25-26.27/07/2016 ESOF 2016, Manchester, 24-27/7/2016 17

Beyond notions of ‘misuse’ in

debates on metrics

Sarah de RijckeCentre for Science and Technology StudiesLeiden University

• If more transparency is the solution, what precisely is the problem?

'Misuses' and 'unintended effects’?

Is the JIF 'misused'?

• Arguments against the JIF often cite its technical shortcomings

• "Single numbers conceal skew of distributions and variation incitations received by published papers"

• In line with principle 8 Leiden Manifesto: avoid false precision

But also: too optimistic mode of 'implementation'

Researchers as passive, relatively powerless, actors in science system

Obscures much more fundamental issue about 'constitutive effects'

9. Recognize the systemic effects of assessment and indicators10. Scrutinize indicators regularlyand update them

- selecting useful information from the overwhelming amounts of literature they could potentially read

- settling discussions over whom to collaborate with and when

- how much - additional - time to spend in the laboratory

- deciding on how much time and effort to put into article peer review

How do researchers use indicators?

Does the JIF 'mislead'?

1. Not all embedded uses are grounded in naïve assumptions

2. Who misleads whom? Researchers are active users of metrics; not simply evaluated subjects

Different embedded uses of metrics ‘trickle back up’ into assessments

“Auditors are not aliens. They are versions of ourselves.” (Strathern 1997, 319)

• Calls for researchers and evaluators to ‘drop’ the JIF in assessments are actually calls for quite fundamental transformations in howresearchers currently produce scientific knowledge

• This transformation of the epistemic process is the primary task

• When and how exactly do metrics reshape research? What is at stakein this situations? What kind of research do we want?

Key question

• Constitutive effects of assessment and indicators, affecting the kinds of knowledge researchers consider viable and interesting

• How can we let this work for instead of against us?

--> Add additional 'socially robust' responsible metrics initiatives

With more active involvement of researchers in finding solutions

• Diana Hicks, Paul Wouters, Ismael Rafols, Ludo Waltman, Sarah de Rijcke: The Leiden Manifesto for Research Metrics www.leidenmanifesto.org

• www.cwts.nl/blog - discussion on JIF and citation distributions

• Alex Rushforth – project Impact Indicators in Biomedicine

Thank you !

Citation based Research AssessmentThe Tail is Wagging the

Impact onJournalsResearchersResearch

Alternatives/Solutions

Journals

JOURNALS

Journals

JOURNALS

One number to rule them allthe 2 year Journal Impact Factor ‘JIF’

‘JIF is used to estimate the expected count of individual papers, …dubious considering

the known skew-ness observed for most journals’Garfield E. JAMA, 2006—Vol 295

Citations are a robust metric as use threshold is high

unfounded assumption:

JIF is predictive of the impact (importance/quality) of a given paper

Publishing

100000

200000

300000

400000

500000

600000

700000

800000

19902014

PubMed

wired.com

Research assessment is an ecosystem

FundersInstitutions

Researchers

Journals

Government

The power of JIF

author

journal

papers

credit

fees $subscriptions

careerfunding $

Institutions, funders and government useJournals as proxy for quality/impact

∴ Journal Editors decide on which research is funded

Research assessment is an ecosystem

Funders

Institutions

Researchers

Journals

www.ascb.org/dora

>12,000 individuals

>550 organizations

good practice examples

Why Thomson Reuters will not change JIF

0 10 20 30 40 50 60

Journal Impact Factor

Three Decimal JIF

( Range 0-60)

0 10 20 30 40 50 60

Two Decimal JIF

( Range 0-60)

0 10 20 30 40 50 60

One Decimal JIF

( Range 0-60)

statistically significant numbersor using median would collapse journal rankings

S. Betuzzi, ASCB blog, 5-2015“A False Sense of Precision”

…even journals that ought to be immune peddle the JIF

BibliometricTransparency

Institutions set JIF expectations

https://www.gov.uk/government/publications/open-access-to-research-independent-advice

‘universities should be encouraged to sign-up to the San Francisco Declaration on Research Assessment.This requires that metrics are used appropriately in the evaluation of individual researchers in order to remove distortion in the market by privileging certain publication routes.’

Article level metrics• Balance journal metrics• ‘Real time’• Risk developing additional flawed metrics

‘Metrics should support, not supplant, expert judgement.’

http://www.hefce.ac.uk/

• Financial compensation? • Discounts• Publish annual list• Certificates• Community credit (editorial boards, open peer review)

• Research Assessment

Reviewer Credit

FundersInstitutions

Researchers

Journals

Referee Creditevaluating the

evaluators

InstitutionFunder

journal

Referee

incentivized review

report

Transparent Review

• Showcase quality • Improve peer review• Teaching tool• Independent opinion

Nature 468, 29–31 (2010)

Publish reports, decision letters & rebuttals (not names)No confidential commentsNamed co-refereesDetailed decision letters

• Microattribution(figure level authorship)

• Digital identifiers• Balanced co-first authorship

Authorship‘credit where credit is due’

Fig 1C• Author contribution• Source Data• Methods• Protocols

Thorough papers first to the finish line

EMBO Transparent Process

scooping protection; one round of revision; preprint publication

dissemination

research finding

quality control

validation

Preprint servers – accelerating discovery

Journals:Peer review

Preprint: Discovery time stamp

• Minimal delay to disseminating findings• Global reach• Community comments & collaborations• Time stamp: document priority

Preprints + DORA may Transform Research Assessment

Funders increasingly consider preprint posts for grants and fellowships

Research Assessment: New metrics? More metrics? No metrics?

Ismael Rafols

Ingenio (CSIC-UPV), Univ. Politècnica de València

SPRU (Science Policy Research Unit), Univ. Sussex

Re-shaping design and use of indicators• Indicators may be harming research

• Current indicators are only (partially) appropriate for some types of science.

• Biases against and potential suppression of creative and valuable types of research (agro-, health,…). Threat to diversity.

• Not only more, but other types of indicators needed• Making visible other contributions (e.g. IDR) and other types of research

(e.g. action research, co-creation)• Enhancing visualisation of metrics for “opening up” perspectives rather

than facilitating “closing down”

• Towards different uses of indicators• New embedding in assessment or policy context• Indicators used to pluralise (opening up) perspectives, as tools

for interpretation and deliberation, not a substitute for judgement

Uses of indicators: Pressing demands of research management and evaluation --- Can indicators help?

Yes, indicators can help make decisions…

Reduce time and costs

Increase transparency and sense of objectivity

Reduce complexity, accessible to managers

but do they lead to the “right” decisions?

Evaluation gap (Wouters):

“discrepancy between evaluation criteria [implicit in indicators] and the social and economic functions of science”

*Academia – “excellence” *Innovation – economic “growth”

Missions not well covered: agriculture, public health, defence,development, social inclusion,…

Often related to marginalised / “neglected” populations?

Problems, research, indicators and marginalisation

Space of problems

Space of research

Space of STIindicators

Space of problems

Space of research

Researchwell illuminatedby indicators

Space of problems

STI Peripheries:research spaces notwell capturedby indicators

Multiple types of space:

STI Peripheries:research spaces notwell capturedby indicators

Cognitive: SSH, engineering

Linguistic: non-English

Sectoral: low-tech, agriculture, creative ind.

Social: gender, minorities

Geographical: regional, “South”

Streetlight effect in indicators: mistaking light with “problems”

Space of problems

Space of research

Streetlight effect in indicators: mistaking light with “problems”

Space of problems

Space of research

Space of problemsSpace of research

Space of problems

Hypothesis: reduced indicator coverage may contract research space

Space of research

(No “hard evidence”)The societal needs dealt by research that is under the streetlight effect, will be

better rewarded.

Reduced diversity ofresearch efforts...

…reduced coverageof societal needs

Space of problems

Demands for expanding role of science in society…

Space of research

Space of problems

Demands for expanding role of science in society…

Space of research

Space of problems

…may require an expanded set of indicators: MORE

Space of research

narrow

closing-down opening-up

range of appraisals inputs(issues, perspectives, scenarios, methods)

effect of appraisal ‘outputs’ on decision-making

Leach et al. 2010

Broadening out vs. Opening up (Stirling, 2008)

narrow

Appraisal methods: broad vs. narrow & close vs. open

cost-benefit analysis

open hearings

consensusconference

scenarioworkshops

citizens’ juries

multi-criteria mapping

q-method

sensitivityanalysis

narrative-based participant observation

decision analysis

risk assessment structured interviews

Stirling et al. (2007)

narrow

Appraisal methods: broad vs. narrow & closing vs. opening

Most conventionalS&T indicators??

narrow

Broadening out S&T Indicators

ConventionalS&T indicators??

Broadening out

Incorporation plural analytical dimensions:

global & local networkshybrid lexical-actor netsetc.

New analytical inputs: media, blogsphere.

narrow

Journal rankings

University rankings Unitary measuresthat are opaque, tendency to favour the established perspectives

… and easily translated into prescription

European InnovationScoreboard

Broadening out S&T Indicators

narrow

Opening up in S&T Indicators

ConventionalS&T Indicators??

opening-up

Making explicit underlying conceptualisations and creating heuristic tools to facilitate exploration

NOT about the uniquely best methodOr about the unitary best explanationOr the single best prediction

A research and policy agenda• Pluralising indicators (supply)• Broadening out: Create more diverse indicators

• Indicators of open science, RRI, hidden, social innovation

• Improve representation of SSH scholarship, languages other than English, the “South”,…

• Opening up: develop more pluralistic toolkits that present contrasting perspectives

• Multi-ranking tools

• Interactive visualisations

• New embedding of indicators in assessment (demand) • Develop new social processes on use of indicators

• Indicators to inform decisions, not a substitute for judgement

• STI indicators as tools for interpretation and deliberation

From S&T indicators for justification and disciplining…… towards S&T indicators as tools for deliberation

Model 2: Plural and conditionalExploring diverse choices Facilitating options/choices in landscapes

Model 1: Unique and prescriptiveProposing “best choices”Rankings -- ranking list of preferences

• ‘Conventional’ use of indicators (‘Pure scientist ‘--Pielke) • Purely analytical character (i.e. free of normative assumptions)

• Instruments of objectification of dominant perspectives

• Aimed at legitimising /justifying decisions (e.g. excellence)

Unitary and prescriptive advice

• Opening up scientometrics (‘Honest broker’ --Pielke)• Aimed at locating the actors in their context and dynamics

Not predictive, or explanatory, but exploratory

• Construction of indicators is based on choice of perspectives

Make explicit the possible choices on what matters

• Supporting debate

Making science policy more ‘socially robust’

Plural and conditional advice

Barré (2001, 2004, 2010), Stirling (2008)

Hicks, Wouters, De Rijcke, Waltmanand Rafols (2015)

Nature (23 Abril 2015)

Principles of the “The Leiden Manifesto”

1. Quantitative evaluation should support qualitative, expert assessment.

2. Measure performance against the research missions of the institution, group or researcher.

3. Protect excellence in locally relevant research.

4. Keep data collection and analytical processes open, transparent and simple.

5. Allow those evaluated to verify data and analysis.

6. Account for variation by field in publication and citation practices.

7. Base assessment of individual researchers on a qualitative judgement of their portfolio.

8. Avoid misplaced concreteness and false precision.

9. Recognize the systemic effects of and indicators.

10.Scrutinize indicators regularly and update them.

Hicks, Wouters, Waltman, de Rijcke and Rafols (Nature, 2015)

2. Examples of Opening Up

a. Broadening out AND Opening up

b. Opening up WITH NARROW inputs

narrow

1. Preserving multiple dimensions in broad appraisals

ConventionalS&T indicators??

Leach et al. 2010

Broadening out opening-up

Composite Innovation Indicators (25-30 indicators)European (Union) Innovation Scoreboard

Grupp and Schubert (2010) show that order is highly dependent on indicators weightings.

Sensitivity analysis

Solution: representing multiple dimensions(critique by Grupp and Schubert, 2010)

Use of spider diagramsallows comparing like with like

U-rank, University performance Comparison tools(Univ. Twente)

5.4 Community trademarks indicator

2. Examples of Opening Up

b. Opening up WITH NARROW inputs

narrow

Opening up S&T Indicators

ConventionalS&T Indicators??

Leach et al. 2010

opening-up

Making explicit underlying conceptualisations and creating heuristic tools to facilitate exploration

NOT about the uniquely best methodOr about the unitary best explanationOr the single best prediction

1. Measures of “scientific excellence”

Measures of “scientific excellence”

ISSTI SPRU MIoIR Imperial WBS LBS

Which one is more meaningful??

Rafols et al. (2012, Research Policy)

2. Measures of interdisciplinarity

Multiple concepts of interdisciplinarity:

Conspicuous lack of consensus but most indicators aim to capture the following concepts

Integration (diversity & coherence)

• Research that draws on diverse bodies of knowledge

• Research that links different disciplines

Intermediation

• Research that lies between or outside the dominant disciplines

Coherence

Low High

Diversity

InterdisciplinaryMultidisciplinary

Monodisciplinary

Intermediation

Low High

Monodisciplinary Interdisciplinary

Diversity

ISSTI Edinburgh

WoS Cats of references

Assessing interdisciplinarity

ISSTI EdinburghObserved/ExpectedCross-citations

Assessing interdisciplinarity Coherence

RiskAnal

PsycholBull

PhilosTRSocA

Organization

JPersSocPsychol

JLawEconOrgan

JIntEcon

Interfaces

EnvironSciPolicy

CanJEcon

ApplEcon

AnnuRevPsychol

RandJEcon

JPublicEcon

JManage

JLawEcon

HumRelat

BiomassBioenerg

AtmosEnviron

PolicySci

JIntBusStud

JApplPsychol

Econometrica

PublicUnderstSci

PsycholRev

JFinancEcon

JApplEcolJAgrarChangeClimaticChange

AcadManageJ

JRiskRes

JDevStud

Scientometrics

HarvardBusRev

IntJMedInform

GlobalEnvironChang

JFinanc

StudHistPhilosSci

DrugInfJ

Futures

WorldDev

StrategicManageJ

SciTechnolHumVal

EconSoc

PublicAdmin

Lancet

IndCorpChange

AccountOrgSoc

EnergPolicy

Nature

AmJSociol

ResPolicy

TechnolAnalStrateg SocStudSci

BritMedJ

ISSTI EdinburghReferences

IntermediationAssessing interdisciplinarity

3. Research trajectories

Explore different directions of research

Rice VarietiesClassic Genetics

TransgenicsMol. Biology

Genomics

PestsPlant protection

Weeds Plant protection

Plant nutrition

Production & socioeconomic issues

Consumption Hum. nutrition, food

techs)

Thinking in terms of research portfolios: the case of rice

Ciarli and Rafols (2014, unpublished)

US, 2000-12

Rice research

India 2000-12Rice research

Thailand 2000-12Rice research

Brazil 2000-12Rice research

3. Summary and conclusions

Instead of designing indicators for ranking (summative assement)

design indicators that foster reflection (formative assessment)

and pluralisation of perspectives

This shift is facilitated by trends pushed by ICT and visualisation tools

More inputs (pubs, pats, but also news, webs, etc.)

Multidimensional outputs (interactive maps)

Institutional repositories

Multiple solutions -- highlighting variation, confidence intervals

More inclusive and contrasting classifications (by-passing private data ownership? Pubmed, Arxiv)

More possibilities for open scrutiny (new research groups)

S&T indicators as a tools to open up the debate

• ‘Conventional’ use of indicators (‘Pure scientist ‘--Pielke) • Purely analytical character (i.e. free of normative assumptions)

• Instruments of objectification of dominant perspectives

• Aimed at legitimising /justifying decisions (e.g. excellence)

Unitary and prescriptive advice

• Opening up scientometrics (‘Honest broker’ --Pielke)• Aimed at locating the actors in their context and dynamics

Not predictive, or explanatory, but exploratory

• Construction of indicators is based on choice of perspectives

Make explicit the possible choices on what matters

• Supporting debate

Making science policy more ‘socially robust’

Plural and conditional advice

Barré (2001, 2004, 2010), Stirling (2008)

Strategies for opening up or how to “keep it complex” yet “manageable”

• Presenting contrasting perspectives• At least TWO, in order to give a taste of choice

• Simultaneous visualisation of multiple properties / dimensions • Allowing the user take its own perspective

• Interactivity• Allowing the user give its own weigh to criteria / factors

• Allowing the user manipulate visuals

Is ‘opening up’ worth the effort? (1)Sustaining diversity in S&T system

Decrease in diversity.

Potential unintended consequence of the evaluation machine:

Why diversity matters

Systemic (‘ecological’) understanding of the S&T• S&T outcomes depend on synergistic interactions between disparate

elements.

Dynamic understanding of excellence and relevance• New social needs, challenges, expectations from S&T

Manage diverse portfolios to hedge against uncertainty in research• Office of Portfolio Analysis (National Institutes of Health)

http://dpcpsi.nih.gov/opa/

Open possibility for S&T to work for the disenfranchised• Topics outside dominant science (e.g. neglected diseases)

STI Indicators ConferenceEuropean and Latin American Networks

14-16 September 2016, València

ISSTI SPRU MIoIR Imperial WBS LBSC

Measures of “scientific impact”

Summary: IS (blue) units are more interdisciplinary than BMS (orange)

More Diverse

Rao-Stirling Diversity

More Coherent

Observed/Expected

Cross-Citation Distance

More Interstitial

Average Similarity

research assessment: new metrics? more metrics? no metrics? · anne cambon-thomsen cnrs &...

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