Data Management

Computational reproducibility is the ability to repeat the analysis and arrive at the same result (National Academies of Sciences, Engineering, and Medicine, 2019).

The supporting output from this working group has been revised and published to the Data Science Journal.

This report provides a consolidated view of the answers collected during a survey conducted in October 2020. This survey was conducted amongst members of the RDA FAIR Data Maturity Model Working Group and aimed at investigating the differences of perspectives on benefits and challenges of the FAIR assessments between members representing funders and research communities.

This briefing focuses on the higher level recommendatins to help policymakers and funders maximise timely, quality data sharing and to formulate appropriate responses during public health emergencies, and are meant to provide expert advice to funders on how to support and foster the best possible approach to research dissemination at a systems level, while also providing guidance on shaping grant conditions for COVID-19 research that will promote timely and reusable sharing of research outputs.