The network graph is comprised of two fundamental components: nodes and connections. Nodes represent member institutions that are registered within the EuropaBON members portal, and connections between them are established based on their data-sharing interactions. Each node possesses distinct attributes, including the type of institution (e.g., occupational sector), the thematic focus of their work, and their geographical location, encompassing both country and region. To assess the centrality of each node within the network, we employed two key metrics: Degree centrality, which measures the number of connections a node has, and Eigenvector centrality, a metric gauging the influence of a node within the network as determined by the Page Rank algorithm. The construction of the network graph was facilitated using Cytoscape JS using a force-directed layout to visually identify clusters and bridges. The charts and diagrams were created using Highcharts. All associated code can be accessed on our GitHub repository.