Overton is proud to support the principles in the Leiden Manifesto for Research Metrics and we are committed to ensuring we operate within the framework it outlines. We want to be transparent about what that means in practice, so we have described below how each relevant section applies in Overton’s context and will keep this updated as the platform evolves.
1. Quantitative evaluation should support qualitative, expert assessment
Yes, we agree with this and have taken steps to support it (see our responsible metrics commitments).
4. Keep data collection and analytical processes open, transparent and simple
Yes, this is something we have done and will continue to do (see our responsible metrics commitments).
6. Account by variation by field in publication and citation practices
Although we don’t have indicators or metrics at the moment that would be affected by these variations, this is something we are aware of and will take into consideration in any future developments.
8. Avoid misplaced concreteness and false precision
At the moment, we do not have any indicators or metrics within the platform but if any users are planning to use the data in this way, we provide additional information via data cards within the platform to let them know its limitations. For consultancy projects, we are careful to ensure our analysis avoids these pitfalls and we communicate the limitations of the analysis clearly to clients.
10. Scrutinise indicators regularly and update them
We do not have any indicators at the moment, but we do keep a close eye on our coverage and let users know about how they should use the data in their work.
Overton is committed to being a responsible data custodian – read about what this means here.