Guide

In this page, you can find a step-by-step guide on how to use specific already developed tools in regards to Clusters Mapping. The tools that are described are:

The objective of the Regional Ecosystem Scoreboard is to capture the quality of conditions in the regional ecosystem that can foster or hinder innovation and entrepreneurship. The emphasis of the Scoreboard is on the dynamics and on the conditions that characterise the quality and nature of the regional ecosystem but it is not about measuring performance.

Step 1: Visit the Regional Ecosystem Scoreboard

Once you visit The Regional Ecosystem Scoreboard, a page that contains two drop-down menus will appear.

Figure 1 Main page of the Regional Ecosystem Scoreboard

Figure 1 Main page of the Regional Ecosystem Scoreboard

After you click on the Country you are interested in, the second drop-down menu will get activated. This menu allows the user to choose to select the region of interest. Two new radio buttons will also appear use default peers and Select Peers

Figure 2 Activation of second drop down menu and radio buttons

Figure 2 Activation of second drop down menu and radio buttons

Step 2: Use the tool for a certain region

The Regional Ecosystem Scoreboard comprises six key dimensions that consist of 60 indicators and composite indicators have been calculated for each of the six dimensions and seventeen sub-dimensions. The Scoreboard covers NUTS2 regions in all EU Member States, except for Belgium, Germany and the United Kingdom where it covers NUTS 1 regions. Once the user has choosen the country and the region of interest, a set of scores on these six key dimensions will appear. The default option contains the suggested peer regions options to which results will be compared to. The user has also the option of selecting up to five regions of his choice to which the region of interest will be compared to.

Figure 3 Click on the regions tab

Figure 3 Select certain peers or the default ones

Step 3: Understand the visualization charts

After selecting country,region and peers of interest three visualization charts appear. The charts display the performance of your region in comparison to the default peers or the ones you have selected. The first one depicts the regions' performance on the already pre-defined six key indicators and the second one the results for the seventeen sub-dimensions.The user can download any of the charts by right clicking on the chart and choosing "Save Image As..."

Figure 3The second visualization chart

Figure 4 The second visualization chart

Finally, the third chart is a Policy acion dashboard. The Policy Action Dashboard has been designed to provide a feedback of the specific areas that should be addressed by policy action. This so-called bottleneck analysis helps to identify the dimensions, sub-dimensions and specific indicators the alleviation of which would help reach the biggest gain and would improve the most the overall quality of the regional ecosystem in case other factors stay unchanged. he light bars in the barchart below represent the actual value of your region on each indicator. The bars with a darker hat are those indicators, the increase of which would result in a 10% overall increase in the composite indicator for your region.

Figure 3 Policy acion dashboard

Figure 5 Policy acion dashboard

The The European Cluster Mapping tool provides sectoral and cross-sectoral regional data and visualisation of the geographical concentration of cluster development in Europe. The industrial strength of cluster development is illustrated by so-called “cluster stars” indicators that reveal the presence of critical mass depending upon the cluster’s size, the degree to which it is specialised and how productive it is. The detailed indicators and stars are available for 51 traditional sectoral cluster categories and for 10 emerging industries that represent cross-sectoral cluster categories. The so-called “Hotspot” indicators give an assessment of the overall cluster strength across a region. Industries and regions can both be selected to visually display and compare cluster strengths and developments over time. Together with more than 20 other regional indicators, it offers a key tool for analysing local competitiveness.

Figure 6 Main page of the European Cluster Mapping tool

Figure 6 Main page of the European Cluster Mapping tool

Step 1: Get to know the main functionalities of the tool

After accessing the Cluster Mapping tool, a map with all the regions of the EU appears. On the top of the map there are three tabs, "Map" , "Graph" , "Data" (See Figure 7). Right under the tabs bar there are two drop-down menus which. The one on the left contains a list of Cluster Indicators. The one on the right contains a list of Sectors. The Sector list, may be disabled when the user selects a certain Cluster Indicator (e.g. "HotSpots - Sectoral Clusters"). In that case a new tab appears right next to the "Data" tab (e.g. Sectoral Clusters tab) Please keep in mind that if a region is colored grey, there are not any data available for this specific region. Finally, it is advised that you should not use either the clear filter or reset buttons, becasue the whole map turns grey and the user is not able to know if there are any data for a specific region or not.

Figure 7 Main functionalities of the tool

Figure 7 Main functionalities of the tool

Step 2: Search for Clusters in a region

In order to search for Clusters in one or more regions of interest you have to click on the according regions of the map. Once you click on those that you are interested in, their color will change into light green (see Figure 8). In the example presented in Figure 8, nine regions have been selected randomly. The Cluster indicator filter has been set to "Cluster stars" and the sector filter has been set to "Digital Indutries". If the user moves the mouse cursor over any of the regions (not only the selected one) a small info-window will appear which will containg the corresponding value for the filters that have been previously set.

Figure 8 How to set the appropriate filters

Figure 8 How to set the appropriate filters

Step 3: Visualize the results

This tool can also create a rather simple Scatter chart, where the x axis is the Year and the y axis is the value of indicator that has already been set by the user. In the example of Figure 9 you can see a simple scatter chart for three regions when "Hotspots - Sectoral Clusters" is the chosen indicator. Right next to the chart, there is a list of the regions that have been selected.

Figure 9 Visualization of the results

Figure 9 Visualization of the results

Step 4: Export the Cluster related data to .csv

The cluster mapping tool allows you to extract a file in .csv or .xml format which contains information on the clusters and the regions you have searched for. The process is really simple and it is described in detail below.

In order to export your search results in a .csv format the has to click on the Data tab (and/or the "Sectoral Clusters","Cross-Sectoral" tab where available). A table with the corresponding data appears right under the filter bar. To save these results in CSV format the user has to click the Export Table Data button. You can watch the whole process in detail in Video 4 below.

Video 1 Export the results in a CSV file

This tool maps cluster organisations registered on the ECCP platform and shows also data from the European Cluster Observatory . Below you can find a detailed guide explaining the main capabilities of the platform.

Step 1: Get familiar with the initial page of the platform

After accessing the Cluster Organizations Mapping Platform, a map with all the Regions of the EU appears. On the bottom right corner of the web page there are two legends explaining the color code of the information provided by the Platform.

Figure 10 Starting Image of the Platform

Figure 10 Initial Web Page of the Platform

The bubbles on the map are displaying the number of cluster organizations for each region, while the blue pin-up sets the physical address for each organization. The colors for the bubbles are yellow, green and purple for less than 10, between 11 and 100 and more than 101 organizations respectively. Furthermore, the user can click on a blue pin-up in order to see a note with general information for each organization.

Figure 11 Cluster Legend

Figure 11 Cluster Organizations Legend

The Cluster Organizations Mapping Tool provides several options for retrieving background information of the regions. The user can select a specific indicator and the year of his/her interest. For example in order to represent "Labor cost per employee" for 2010 we have to choose the previously-mentioned option in the Indicator list and 2010 in the list of Years.

Figure 12 Background Regional Information

Figure 12 How to Change Background Regional Information

For every “indicator” selection the grey color is indicating that there are no data on the European Cluster Observatory for that specific region.

Figure 13 Regions in grey colour

Figure 13 Regions in Grey colour

Step 2: Navigation on the map

The user should click on a bubble of interest in order to explore the infrastructure of a specific area. The map readjusts automatically and more detailed information is provided for that specific region. This process can be done until only blue pins will be displayed on map

Figure 14 How to navigate to the map

Figure 14 Close up of a Specific Regional Area

Step 3: Using the filters

The Cluster Organization Mapping Tool provides the ability for searching clusters by using several options. On the left side of the webpage there is a window in which the user can perform a query based on three different approaches.

Step 3a: Keyword Search

The tool gives the opportunity for a search based on keywords. In the following example we tried to perform a search based on the keyword bio. After we placed the word in the field, the map refreshed with the results. Furthermore, the Selected list button returns a list with the results of the search.

Figure 15 Keyword Search Fields

Figure 15 Keyword Search Fields

From the “selected list” the user can select the organization he/she is interested in.

Figure 16 Keyword Search Results

Figure 16 Keyword Search Results

Step 3b: Direct Regional search

The Cluster Organizations Mapping Tool allows the user to search for clusters for a specific region. That can be done by the Country and Region fields as shown in the example below.

Figure 17 Country and Region Fields

Figure 17 Country and Region Fields

Figure 18 Country and Region Search Results

Figure 18 Country and Region Search Results e.g.Berlin

Step 3c: Search Cluster Organisations

Another option for performing a query is by selecting several filters that are describing the cluster organisations. Namely, the Technology fields , the Participation in EU programs , the Cluster Excellence Label / Award and more. On the Figure below it is shown an example of a search for organisations that are involved in the “Digital Industry”, participate in “H2020” EU program and occupy 1-5 persons.

Figure 19 Multiple Search Filters

Figure 19 Multiple Search Filters