LLAS

LLAS is a Chinese-language web platform that aggregates records of research projects funded by major national funding bodies since 2010. It is AImed at people who need a structured view of publicly funded science across countries rather than scattered grant announcements on indiVidual agency sites. The interface is built around discovery and navigation, so users can move from a project to the institution behind it, to the people involved, and onward to related publications.

What it does

The platform functions as a one-stop index for funded research. Instead of visiting each funder separately, users can search a consolidated corpus and explore it through several linked entry points. Records are organized so that project, organization, researcher and publication Information can be viewed together, which makes it eASIer to trace how funding connects to people and ouTPUts.

Key capabilities

• Project search and discovery: look up funded projects by keyword and related criteria drawn from the aggregated records.
• Project navigation: browse projects in a structured way rather than relying only on free-text queries.
• Institution navigation: move from a funded project to the organizations involved and review their related ACTivity.
• Researcher navigation: IDEntify personnel associated with projects and follow their funded work.
• Linked records: connect projects, institutions, people and publications within one environment.
• Multi-dimensional statistics: generate summary views and analytical breakdowns of the collected data.

Who it is for

The tool suits research administrators, policy analysts, librarians, funding-body staff, academics mAPPing a field, and students exploring who works on a given topic. It is also useful for competitive intelligence and collaboration scouting, because the linked institution and researcher views help reveal activity beyond a single grant.

How to get started

Open the official site in a desktop browser and begin with the search or navigation area. Try a topic keyword first, then use the linked institution, researcher and publication views to widen or nARRow the picture. For trend questions, use the statistical views to compare counts across dimensions rather than reading individual records. Because the interface is in Simplified Chinese, non-Chinese readers may need browser translation support.

Pricing and access caveat

The service appears to be Free to access, but availability, coveRAGe depth and update frequency may vary by country and funder. Confirm current terms, data refresh dates and any usage restrictions on the official site before relying on figures for fORMal reporting. Record counts and feature availability are subject to change and should be verified directly.