Will be available on-line, from autumn 2019, the public version of SIPER (Science and Innovation Policy Evaluation Repository), a rich and unique database of science and innovation policy evaluations worldwide, and one of core dataset of RISIS project. “We started to work on SIPER within RISIS1, and now we are continuing to work on the next generation of this database. The main goal of this database is to bring together all evaluation reports in…
Public research, Higher Education and careers are key elements of RISIS datasets. ProFile is one of them and is the only longitudinal study in Europe containing doctoral students from all scientific disciplines and regular information on the conditions of their doctoral training and their careers. “ProFile, a longitudinal study of German doctoral candidates from all disciplines and their early post-doctoral careers, both in and outside of academia, contains a range of highly relevant output…
High-growth firms received considerable attention by academic scholars and policy-makers, because of their crucial role in creating new jobs and sustaining economic growth. At the same time, the academic literature has pointed out how the determinants of high growth are difficult to predict, and that high growth tends not to persist over time. Quite surprisingly, one category of firms has received less scholarly attention when dealing with firm growth: medium-size firms. Cheetah dataset offers the…
“EUPRO is the first systematic and standardized database to investigate project based R&D collaboration networks in Europe”, said Thomas Scherngell, senior scientist at the AIT Center for Innovation Systems & Policy, and coordinator of the central access manager to RISIS datasets. EUPRO, in fact, is a core RISIS dataset providing cleaned and complete information both on R&D projects and on participants over long time periods. Data included in EUPRO are numerous: in total, the dataset comprises 96,674 projects and…
Online, on Zenodo space dedicated to RISIS project, it’s possible to find and download all materials related to first RISIS Summer School on Data Science for Studying Science, Technology and Innovation (STI), that took place in Glasgow on 24-28 June 2019. During the 5-day training, we have learned: R as a Data Science Tool, with Kate Pyper (University of Strathclyde): R programming language and how this can be used for data science, different…
