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The scientific community’s efforts have increased regarding evaluating the FAIRness of research Digital Objects such as publications, datasets, or research software. However, this requires a steep learning curve for the average researcher when learning the FAIR evaluation frameworks, disengaging some of them in the process. This project aims to use technology close this gap and make this process more accessible by bringing the FAIR evaluation to the researcher’s profiles. “The FAIR extension” is an open-source, web browser extension that allows researchers to make FAIR metrics evaluations directly from scholarly aggregators such as PURE, Google Scholar, or ResearchGate without any additional knowledge. The browser extension follows the FAIR metrics group specification, building on top of the community-accepted FAIR evaluators’ APIs. 🕶 This resource is presented at the 1st International Conference on FAIR Digital Objects which is linked to the following abstract doi.org/10.3897/rio.8.e95006 🧩 Install it in your browser!! Available in the chrome store: "the FAIR extension" 🔍 For more information, please visit the the FAIR extension website
https://schema.org/CreativeWork, FAIR metrics, FAIR assessment, FAIR Digital Objects
https://schema.org/CreativeWork, FAIR metrics, FAIR assessment, FAIR Digital Objects
| 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 |
| views | 10 | |
| downloads | 2 |

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