Scaling up computational reproducibility practices in research organisations - how to influence change

Attendees will learn how to use a framework created to assist research organisations in understanding how reproducibility (including computational reproducibility) can be scaled up internally. The framework can be used by a range of internal stakeholders with differing goals, such as institutional leaders seeking to align organisational strategies, or managers wishing to provide the support that staff in their part of the organisation may be seeking. 

The framework is a part of a report on how the practice of conducting research in a reproducible way can be scaled up from pioneers to the majority of researchers and research support staff.  Attendees will be introduced to the types of practices that assist individual researchers, research support staff, and managers to scale up practices that improve research reproducibility. Note that this framework is focused on how well organised an organisation is at scaling up reproducibility practices (i.e., access and coordination), not the maturity of reproducibility practices and how well they adhere to what is commonly understood to be best practice in reproducibility. The framework can be used to assess current practice, and facilitate discussion about priorities and directions. 

This report was commissioned by Knowledge Exchange, a group of national organisations from six European countries supporting research infrastructure and services to enable the use of digital technologies to improve higher education and research: CSC in Finland, CNRS in France, DeiC in Denmark, DFG in Germany, Jisc in the UK and SURF in the Netherlands.