01622nas a2200241   4500008004100000022001400041245010800055210006900163260004200232300001000274490000700284520090100291653001401192653001401206653001601220653001201236653001901248653001601267100002101283700002101304700002501325856003001350       2021                        eng d  a1927-032100aA Roadmap for Systematically Identifying Opportunities in Ecosystems Using Scientific Publications Data0 aRoadmap for Systematically Identifying Opportunities in Ecosyste  aOttawabTalent First Networkc01/2021  a34-550 v113 aOpportunity identification is a continuous process in ecosystems. However, ambiguities and challenges associated with knowledge exploration and exploitation can retard opportunity recognition processes. This in turn may culminate in excessive expenditure of resources or loss of latent opportunities. The present study adopts an analytical approach and proposes a methodological roadmap that utilizes scientometric and text mining techniques. The roadmap uses data from Web of Science as input, and generates insights that support decision-making about resource saving, strategic planning, investment, and policymaking. Our roadmap extends methods used in studying ecosystems by combining existing and novel techniques in data analytics. Using Python and VOSViewer, we show an exemplary application of the new roadmap, framed in the context of the Nordic countries’ renewable energy ecosystem. 10aecosystem10aknowledge10aopportunity10aroadmap10ascientometrics10atext mining1 aKhademi, Behrooz1 aLampela, Hannele1 aSmyrnios, Kosmas, X.  utimreview.ca/article/1415