Science and Research Content

Researchfish and F1000 announce strategic partnership -

Researchfish®, a platform for reporting of research outcomes and impact tracking, has announced a partnership with F1000. Every year over 100,000 researchers globally report the output and outcomes of their funded research through the Researchfish platform. This provides funding organisations, charities and universities with a unique understanding of what their funding has achieved and therefore enables them to make informed decisions about future funding activities, communication with stakeholders at all levels and in many cases increase annual funding amounts.

Any research outputs reported in Researchfish that have been recommended by F1000’s expert Faculty will be freely identifiable to its users. This new partnership will provide Researchfish members with even greater insight into the value and potential impact of much of the research that they have supported.

Through the article recommendations of a virtual Faculty of over 8000 leading life science experts, F1000Prime provides a well-recognised indicator of research quality and potential impact that can be used to complement quantitative citation-based indicators to support research assessment.

While all articles that have been recommended will be freely identifiable within the Researchfish platform, any organisations subscribing to the F1000Prime service will be able to access richer content about the expert/s who are recommending the work and why the work has been recommended.

Further developments in the sphere of interoperability between the two platforms will follow. The launch of this integration coincides with the release of the new Researchfish user interface and will go live at the beginning of the UK Research Councils’ submission period in February. During this time, over 100,000 users will be reporting via the Researchfish platform.

Brought to you by Scope e-Knowledge Center, a world-leading provider of metadata services, abstraction, indexing, entity extraction and knowledge organisation models (Taxonomies, Thesauri and Ontologies).

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