There is an ecosystem where open research is increasingly prioritised with a range of frameworks, concordats, policies and recommendations for increasing open research practices. Monitoring and evaluating uptake of open research practices helps us to understand compliance with policies, gain insight on the impact of engagement with open research practices and evaluate the effectiveness of those policies and recommendations. However, the research ecosystem brings together a wide range of inputs with considerations to be made on the appropriateness of open research practices. Moreover, the range of open research practices available to us is myriad. How do we measure, monitor and evaluate open research practices accurately and responsibly?  

In this session, Laetitia Bracco will present the French Open Science Monitor, a national tool designed to steer French public policy regarding Open Science. She will explain the background, methodology and outcomes of this project which currently covers scientific publications, clinical trials, research data and software.  

Iratxe Puebla will talk about Make Data Count, an initiative that promotes the development of open data metrics to enable evaluation of data usage. Iratxe will discuss how data metrics offer an opportunity for a fresh approach to evaluating usage and impact, and share updates from Make Data Count projects that aim to scale the data usage information available to the community, enhance the context of usage measures, and advance adoption of data evaluation.

Speakers: Laetitia Bracco, Iratxe Puebla

Laetitia Bracco is the head of the research data and bibliometrics support services at the Université de Lorraine (France). She is the project manager of the French Open Science Monitor for datasets and software and she co-coordinates the Open Science Monitoring Initiative (OSMI). 

Iratxe Puebla is Director of Make Data Count, an initiative that promotes the development of responsible, meaningful data metrics to enable evaluation of how data is used. Make Data Count engages with global communities to advance data evaluation practices and is developing the Data Citation Corpus, a central aggregate of all citations to data.