Making decisions regarding data and the overall credibility of research constitutes research data governance. In this paper, we present results of an exploratory study of the stakeholders of research data governance. The study was conducted among individuals who work in academic and research institutions in the US, with the goal of understanding what entities are perceived as making decisions regarding data and who researchers believe should be responsible for governing research data. Our results show that there is considerable diversity and complexity across stakeholders, both in terms of who they are and their ideas about data governance. To account for this diversity, we propose to frame research data governance in the context of polycentric governance of a knowledge commons. We argue that approaching research data from the commons perspective will allow for a governance framework that can balance the goals of science and society, allow us to shift the discussion toward protection from enclosure and knowledge resilience, and help to ensure that multiple voices are included in all levels of decision-making.
Das Zentrum für Datenanalyse, Visualisierung und Simulation (DAViS) der Partner FH Graubünden und Schweizer Institut für Allergie- und Asthmaforschung bietet Unterstützung in allen Bereichen der Forschung und Anwendung von Maschinellen Lernverfahren, Big Data, Visualisierung und Simulation. Im Artikel wird exemplarisch an einem Forschungsprojekt die Analyse komplexer Daten aus dem Gesundheitsbereich dargestellt.