
If you write code as part of your research to build software tools, workflows or training materials, chances are that these contributions might go unrecognised in traditional systems that typically focus on publications. This webinar introduced EVERSE’s Credit and Recognition Framework, an initiative aiming to make all types of research contributions visible and valued, taking into account the needs of the research community. During this session, we explored how we are building an ecosystem to make your impact visible by: Demonstrating how platforms like APICURON and BIP! Scholar can track contributions, such as pull request merges, and training sessions, and link them directly to your ORCID profile. Making sure your role in research — whether you’re a research software engineer (RSE) or a trainer — is properly acknowledged. Discovering how you can contribute to and help shape the EVERSE recognition framework as an early adopter.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
