• No results found

Altmetrics in Humanities and Social Sciences

N/A
N/A
Protected

Academic year: 2021

Share "Altmetrics in Humanities and Social Sciences"

Copied!
50
0
0

Loading.... (view fulltext now)

Full text

(1)

Altmetrics

in

Humanities

and

Social

Sciences

KathleenFitzpatrickandRebeccaKennison 30October2017

Introduction

Thespreadofopendigitalformsofscholarlycommunication,combinedwithincreasing

institutionalpressuretotrackresearch“impact,”hasencouragedscholarsandadministratorsin thehumanitiesandsocialsciencestoturntheirattention tometricsthatpromise tohelpinthe assessmentofresearchoutputs.However,significantconcernshavebeenraisedinrecent yearsaboutthevalueoftraditionalmetricsin suchassessment.Forinstance,thejournalimpact factorasitsnamewouldsuggestonlymeasurestheimpactofa publicationasawhole, notthesignificanceofanyindividualpieceof workthatitcontains.Similarly,citationmetrics suchastheh-index,whileauthorspecific,onlyreveal asingleaspectof theimpactascholar’s workmayhave,failingtoaccountforthewaysthatanarticlemovesthroughdigitalscholarly networkstoday.Moreover,citationmetrics’focus onjournal-basedcitationsmakethem particularlyinapplicableinthefieldswithinthehumanities andsocialsciencesthatdonotrely onpeer-reviewedarticlesastheprimaryform ofscholarlycommunication. (Ontheshortcomings ofandpotentialdamagedonebytraditionalbibliometricsintheassessment ofscholarship,see Burrows, 2016; de Rijcke and Rushforth, 2015; Gruber, 2014; Haustein and Larivière, 2015. On thespecificproblemswithusingsuchbiblometrics inhumanitiesand socialsciences,see Archambaultetal.,2006;Nederhof,2006;Nederhofetal.,1989;Pontille andTorny,2010.) Asaresultofthelimitationsoftraditional bibliometrics,anumberofalternativemetricssystems formeasuringresearchimpacthaverecently gainedpopularity,especiallyinscience,

technology,engineering,andmedicine,knowncollectively astheSTEMfields(Hammarfelt, 2014;Hug,Ochsner,andDaniel,2013;Koushaand Thelwall,2016;Priemetal.,2010;Thelwall andDelgado,2015).Theseso-called“altmetrics”attempttoaccountnotmerely forcitationsof publishedscholarshipinjournal-basedarticles,butalsomentionsofthework inpopularnews outlets,inboundlinkstotheworkfromsocialmediasuchasTwitterandFacebook,andcapture oftheworkinsocialbookmarkingandcitationmanagementsystemssuch asMendeleyand Zotero,andseektotrackotherfactorsthat collectivelyindicatethewaysthatapublication movesacrosstheInternet.Whileskepticsarguethatsocialmediaattention doesnotequal quality,relevance,orimpact(Bornmann,2014;Scott, 2012),andwhile graveconcernsexist regardingthepotentialusesandabusesofmetricsinpersonnelreviews (Flaherty,2016;Laudel and Gläser, 2006), promoters of such alternative metrics suggest that they provide new insights intothewaysthatscholarlyworkisdisseminatedbyitscreatorsandusedbyitsaudiences. Toassessthecurrentstateofaltmetricswithinhumanitiesandsocial sciencesdisciplines,this studyproposedtodevelopataxonomyofthe altmetricstoolsandmeasuresmostwidelyused byorfamiliartoresearchersandscholars,withthegoalofdeterminingthecurrentlevelof acceptancewithintheacademiccommunityofaltmetrics,especiallyinrelationtodecisions

(2)

concerningtenureandpromotion.Oursense,inbeginning thisstudy,wasthatwewouldmeet withafairdegreeofconcernabouttheeffects ofapplyingmetricsdeveloped forthesciencesto fieldsthatoperatewithquitedifferentstructuresthroughwhichworkcirculates. Ourhopewas thatwemightprovidesomeguidancefordepartment chairsanddeansinhumanitiesandsocial sciencefieldsastheyencounterrequestsfor analyticdataat theuniversitylevel.

Traditionally,awhitepapersuchasthisonewouldbeginwithathoroughliteraturereview.We weredissuadedfromdoingsointhiscasebytheexperienceoftheHigherEducationFunding CouncilforEngland(HEFCE),whichin2014–2015 commissionedareview ofthecurrent landscapeformetricsinresearchevaluation.Aspart ofthatreview,ateamofresearchers primarilyaffiliatedwiththeCentreforScience andTechnologyStudies atLeidenUniversity (SarahdeRijcke,PaulF.Wouters,AlexD.Rushforth,ThomasP. Franssen,andBjörn

Hammarfelt)conductedananalysisoftheextantliteratureonevaluationpractices andtheuses andmisusesofmetricstherein.Theynotedin theprocessthedifficultiesinvolvedinaccounting forthefullbreadth oftheliterature:

Providingacompleteoverviewoftheliteratureis notfeasibleforacoupleofreasons. Firstofall,theliteratureisvery diverse.Studieson evaluationsystems,evaluation practices,andeffectsofindicatorusesare publishedindifferent media,andthe

preferredoutletsarenotnecessarilyalwaysinternationaljournalsthatarecoveredwell byweb-basedcitationdatabases.Thehundredsof sourcesarespread outoverbooks, editedvolumes,articles,reports,andotherforms ofgrayliterature thataresometimes relativelyinaccessible.Secondly,therelevantliteratureisscatteredoveralargenumber ofsocialsciencefields,includingsociologyofscience,innovationstudies,libraryand informationscience,highereducationstudies, sociologyofevaluation,evaluation studies,economicsandbusinessstudies,medicalsociology,sciencepolicystudies, researchmanagementandinnovation,politicalscience, andgovernancestudies.Athird hamperingfactorinpresentingacompleteoverview istheepistemic natureofthe evidencepresentedintheliterature.Thestudies rangefromsurveys andinterviewson researchers’perceptionsofevaluationsandformalpolicyanalysisofprincipal–agent relationshipstoculturalcritiquesoftheevaluationsocietyandethnographicstudiesof evaluationinaction(anemergingbodyof work).Theresulting heterogeneityofthe evidenceposesparticularchallengesinintegratingthe literatureina singlereview.(de Rijckeetal.,2016,161–162)

DeRijckeetal.optintheirreporttopresentaqualitativeliteraturereview thatmapstheprimary issuesacrosstheliteratureratherthanstrivingforcompleteness.Needlessto say,sincetheir reportwaspublished,thequantityanddiversityof theliteraturehaveonlyexpanded,andour ownreadingoftherelevantworksupportedthesoundnessoftheir decision.Moreover,the primarythemesthattheirreviewuncoveredquestionsabouttheeffectsoftheuseofmetrics onknowledgeproductionandtheconsequencesfortheirdeploymentinresearchassessment —wereconfirmedbothfromourreadingandfrom ourprimaryresearch.As aresult,wehave optedtorefertheinterestedreadertotheir study,ratherthanreinventthatparticularwheel.

(3)

AsdeRijckeetal.note,muchoftheextantliteratureconnectstherise ofnewmetricsfor researchimpact,includingso-called“altmetrics,”toanincreaseindemandsforresearcher accountability(see,e.g.,studiesoftheimpactoftheResearchAssessmentExercise/Research ExcellenceFrameworkonresearchers,includingCollini, 2012;Hoecht,2006).Thedeployment ofmetricsinresearchassessmentinmany casessteersresearchers tobecomemore

market-oriented,moreinstrumentalist,andmoreprivatized (seeLeisyteandDee,2012; Willmott,2011).Moreover,assessmentsystemsthat affectresearchers’fundingorreputations willtendtocausethemtoshifttheirgoalstofocusontheoutcomes oftheassessment,rather thanthepurposesoftheresearch,orwill otherwiseencouragethemtorevisetheirprocesses soastoavoidrisk(seeHicks,2012).De Rijckeetal.express particularconcernaboutthese effectsintheareasofthecurriculumonwhich ourownprojectmost focuses;inparticular,they citestudiesindicatingthattheuseof metricsinresearch assessmentcanhinder

interdisciplinaryresearch.Theyalsonotetheextenttowhichtheartsandhumanities,aswellas thebook-orientedsocialsciences,sufferwhenscholars inthesedisciplines areevaluatedbased onmetricsthathavebeendesignedforfields whoseresearchoutputsareentirelycenteredin journals.

Theseconcernswereaprimarydriverbehindthestudythatfollows.Wesoughtamoredirect understandingofthestateofaltmetricsadoptionand usageintheevaluationofresearchin humanitiesandsocialsciencefields,aswell anunderstandingof facultyandadministrator perceptionsofthatusage.Whereconcernsaboutthe usesofmetricsinthehumanitiesand socialsciencesremain,wealsosoughttobeginanexplorationof waysscholarsand

administratorsinthefieldsweaddressmightseektoprovidebetterformsofarticulationofthe desiredimpactofresearch.

Methods

Phase1ofthisstudyincludedtheabovereview oftheliteratureand oftargetedsocialmedia outlets.Whilethereisarelativelysignificantbody ofliteraturerelatedtoaltmetricsinthe sciences,therearefewerstudiestodatelooking atdisciplinesinthehumanitiesandsocial sciences.Tohelpfillthislacuna,thisphaseofthestudyfocusedonreviewing theworkthatis currentlybeingdoneonaltmetricsacrossthedisciplines, aswellasongatheringdiscussionsof metricsinthehumanitiesandsocialsciences bysamplingsocial mediaoutlets,including academicblogsandTwitterfeeds.Wealsoexploreddiscussionsofconcerns aboutmetricsin thehighereducationmainstreampressandin professionalpublications,and weconducteda smallfocusgroupwithhumanitiesandsocialsciencedeansdesignedto surfacethequestions andconcernstheyhaveaboutmetricsandtheiruses.The aimofthisphaseofthestudywasto identify,summarize,andsynthesizethecurrentstate ofaltmetricswithin theacademy;to developaninitialtaxonomyofthetypesof metricsmostcommonlyusedorknown,whether withinSTEM,humanities,orsocialsciences;andtoderivefromthis investigationthequestions tobeexploredinphases2and3.

(4)

Phase2ofthestudywasoriginallytoconsistofin-depthinterviewswithapproximately10–12 tenuredandtenure-trackfacultymembersandacademicadministratorsfromarepresentative sampleofNorthAmericaninstitutions,includingliberal artscollegesand midsizedandlarge publicandprivateuniversities,evenlydistributed betweenhumanitiesandsocialscience disciplines.Theseinterviews,conductedviaonlinequestionnaire, weretobe usedtovalidate thetaxonomyandfurtherexploretheissuesanddiscussionstakingplace withindifferenttypes ofinstitutionsanddifferentdisciplinessurroundingtheadoptionofaltmetrics.Resultsand analysisofthequestionnaireweretobeusedtodevelopthesurveyinstrumentforthethird phaseofthestudy.However,ourattemptsto conducttheseinterviewswerechallengedbya surprisinglyhighlackofresponseamongthe initiallyselectedparticipants. Weareuncertain whetherthissilencehadtodowiththebusyness oftheparticipantsor theirperceptionthatthe subjectdidnotpertaintothem.Afterseveralfollow-ups andintheinterest ofmovingthestudy forward,wemadethedecisioninsteadtoopenupthe survey,aspartofphase3,inorderto capturetheresponsesofasmanyinterestedscholarsaspossible.

Phase3involvedaninternationalonlinesurveythat soughttoprovideuswithabroader perspectiveontheuseandlevelofacceptance ofaltmetricsinthehumanitiesandsocial

scienceincasesoftenureandpromotion.We alsosoughtparticipationfromrespondentsfroma rangeofkindsofinstitutionsandfromas wideageographicaldistributionaspossible.We invitedparticipationbyreachingouttohumanitiesandsocialsciencelistservs andtosocial medianetworkstomaximizeourresponserate.Wethenusedresultsfromthissurveytorefine thetaxonomyofmetricsandtoprovidefurtherdataontheissues,use,andacceptanceof altmetricswithinhighereducationinthehumanities andsocialsciences withinaprimarily English-speakingeducationalenvironment.

Preliminary

Interview

Webeganourinvestigationofthewaysthatmetricsingeneral,andaltmetricsinparticular,are beingusedintheevaluationofresearchproductivity inthehumanitiesandsocialsciencesby conductingaone-hourinterviewwithadeanofsocialsciencesatanelitelargeprivateresearch university(“LargePrivateU”).Weexpectedto heararecognizable storyaboutthe

assessment-basedpressurestowardthequantitative engenderedbycontemporaryuniversity bureaucracies.Instead,thisdeanquicklyreframedour work:thisparticular institutionnotonly resistsmodesofassessmentthatareseenasbeingoverly“bean-counting,” buthasavoided developinginternalmetricsforassessingperformanceata rangeoflevels.Thedeannotedthat atLargePrivateUevenbasicdataaremissing andthatwhatdata existaresiloedand

inconsistentlycaptured.Annualreviews,forinstance,rely onnarrativeself-reports sentfirstto thechair,andthentothedean,intheformofaWorddocument. LargePrivateU’scourse managementsystemcannotgeneratereportscontainingusabledata,andthedean’sfinancial reportsarelimitedtoendowmentandgiftaccountsandfacultyresearchaccounts.

Whenweturnedtheconversationspecificallytothe useofmetricsoranalyticsinpersonnel processessuchastenureandpromotionreviews,thedeanletusknowthatLargePrivateU

References

Related documents

HTBF Driving high strength bolt(flat head) HTBR Driving high strength bol(round head). B.N Normal hexagon headed

To calculate the answer, use the second table, “Median Home Prices and Related Data for Selected Northeastern Cities, 1986.”2. Notice that we only need to check five cities—the

You can complete the installation quickly, simply by connecting the CAT5 cable to KVM and the module corresponding ports: Connect the S1050 (IN) input with the

steps (including the E), and play a D harp. Once playing the correct key of harmonica, all the Slant Harpist has to do is play riffs and patterns that use 1 draw, 4 draw and 8 draw

(Kuzel 1999, cited in DiCicco-Bloom & Crabtree 2006) From vehicle information it was possible to define how much space there is available for packages in different stages of

6 8.31 Providing and fixing Ist quality ceramic glazed wall tiles (300mm x 450mm) conforming to IS: 15622 (thickness to be specified by the manufacturer), of approved make, in

Madhav Acharya: The cost has been specifically directly now charged on to the Consumer instead of being a part of the unallocated cost, it is approximately

However, with unprecedented data growth rates and increased data sources, the existing database management environments were not scalable going forward.. In 2012, more than