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2017 Pure InternationalConferenceVisualising Pure DataAdrian PriceUniversity of Copenhagen LibrariesFaculty of ScienceEmail: ap@science.ku.dk
10/10/2017Visualising Pure DataQuick bio Unit co-ordinator, Research Documentation, Faculty of SCIENCE Pure co-ordinator, University of Copenhagen Libraries Worked with Pure since inception at DK universities (2004/5) Pure data is a vital asset in research documentation: performance evaluation,impact, do we fullfill government requirements, Open Access (Pure only datasource), documentation for funding applications, ORCID profiles, 2
10/10/2017Visualising Pure DataAgenda① Background: SCI-Metrics② Work- & Dataflows③ Types of visualisationsDashboardsNetworksCharts & GraphsInfographics④ DEFF project, visualisation issues3
10/10/2017Visualising Pure DataBackgroundBackground: why visualise?Wanted easier, increased access to Pure SCI-MetricsUsage: No login, No Pure, Better pretty pictures and Dashboards (help yourself)University of Copenhagen implementing Tableau Server Tableau DesktopPure and data requirements: data from Pure, updating, format4
10/10/2017Visualising Pure DataData- & Workflows5
10/10/2017Visualising Pure DataTypes of Visualisations (homebrewed classification!) :Dashboards (interactivity), Charts & Graphs, Networks, InfographicsWork in these areas (just beginning) :1.Dashboards: Interactivity, department help-yourselves buffet. Fits with yearlyreporting on publication output2.Charts & Graphs: primarily to enhance reports where appropriate. Eg. spread ofdepartment data rather than single metrics, Impact Factor/CiteScore, citations3.Networks: Explaining & examining complex collaboration patterns4.Infographics: Illustrating complex work- & dataflowsExamples follow 6
10/10/2017Visualising Pure DataDashboards:Pure report module: one spreadsheet- all dashboards, no fiddling with data/spreadsheet because of updating,All fiddling to be done in dashboard application.7
10/10/2017Visualising Pure Data Dashboards8
10/10/2017Visualising Pure Data Pure data & Networks9
10/10/2017Visualising Pure Data Charts & Graphs (1)10
10/10/2017Visualising Pure Data Charts & Graphs (2)Prototype work in progress 11
10/10/2017Visualising Pure Data Infographics12
10/10/2017Visualising Pure DataDEFF project (Denmark’s Electronic Research Library):ROI-AV – Research Output and Impact – Analysed and VisualisedVisualisation training: basic concepts, types, awareness, experimentsTools: vast amounts of tools:Tableau, Qlik-View, D3.js, Vega/Vega-lite, VOSviewer, Gephi, Processing We’re only just starting Issues:When - & when not - to visualiseHow to visualise bibliometric dataData and data sourcesData transformation (cleaning & formatting)Effectiveness: 12 departments, 12 reports programming probably required!13
10/10/2017Visualising Pure Data!?It would be good to hear from others working in this field!ap@science.ku.dk14
Pure data is a vital asset in research documentation: performance evaluation, impact, do we fullfill government requirements, Open Access (Pure only data . University of Copenhagen implementing Tableau Server Tableau Desktop Pure and data requirements: data from Pure, updating, format 10/10/2017 4. Visualising Pure Data Data- & Workflows
