This page provides a short overview of Esploro. For a quick guide to the main Esploro features, how to access them and where to view details for working with them, see here. For a video giving an introduction to Esploro (including roles, asset categories and types, DOI, etc.), see here. For the main Esploro workflows see here. For a glossary of Esploro terms and concepts see here. You can read more on our website here.
Introduction to Esploro
With Esploro, the research information management solution, you can move beyond traditional repositories. You can manage all your research assets in one place, including Open Access content, articles, datasets, research tools, media mentions, etc. You can enrich your repository using the Esploro machine learning algorithm (Smart Harvesting AI) which matches scholars with their research work. With Smart Harvesting AI you can save time and reduce your workload, while enhancing academic discovery with a full, accurate repository of research output.
Esploro makes it easy to showcase faculty work and find subject matter experts to help secure more funding, enhance collaborations, attract talented researchers, and boost your institution’s reputation. The Esploro portal and profiles allow you to present your institution's researchers and their work in a highly flexible way.
Esploro Analytics provides a wide range of actionable insights which rely on the accurate and up to date information in the Esploro repository. You can significantly improve collaborations and funding efforts, increase your scholarly impact and identify trends with the Esploro Analytics dashboards and reports.
For a description of Esploro sandbox environments including the differences between Sandbox and Production, multiple sandboxes in a collaborative environment, etc., see here.