Horizon projects network

Horizon 2020 projects are a major initiative to foster collaborative research and innovation at European level. Results and metadata are available as open data at https://data.europa.eu/data/datasets/cordish2020projects and can be explored in https://cordis.europa.eu/datalab/. The aim of this project is to create a dataset that can be used to analyse collaborations among European organisations (companies, academia, research centres...) and hierarchical aggregation (NUTS 1,2 and 3 level) as well as by topic (EuroSciVoc) and Horizon 2020 pillar as package is to analyse. The main issues taken into account are enhanced interoperability of geo-location data, a tabular form of first level EuroSciVoc codes and encoding of LegalBasis as Horizon 2020 pillars. Data is provided as a set of interoperable .CSV files and as a network encoding the whole dataset (that can be analysed with Pyrton or R i-graph package). Currently geographical encoding at NUTS3 level is carried out for Italy and is available at NUTS1 level for all countries. Specifically, the i-graph format is suitable for further analysis with centrality measures and community detection. List of CSV files filename content orgs.csv List of organisations (network nodes) including geolocation encoded as NUTS1-2-3 projects.csv List of projects (network edges) including ids of organisations, calls (pillars) and topics (EuroSciVoc) project_call.csv List of projects associated to calls (a project can be associated to one or more calls) project_topic_esv.csv List of projects associated to topics encoded as first level of EuroSciVoc taxonomy (a project can be associated to one or more topics) topic_esv.csv List of topics encoded as first level of EuroSciVoc taxonomy, including an extended description and full code project_topic_esv_table.csv Table of topics encoded as first level of EuroSciVoc taxonomy. topics are attributed participation.csv List of organisations and projects, highlighting ecContribution, totalCost, and role of coordinator. project_codes_call_2.csv extended descriptions of calls network.csv network (nodes = organisations, edges = projects) in "long" dataframe format, suitable for analysis using i-graph package in R and Python.