# InterLex ## Introduction InterLex () is a dynamic lexicon, initially built on the foundation of NeuroLex ([PMID: 24009581](https://pubmed.ncbi.nlm.nih.gov/24009581/)), of biomedical terms and common data elements designed to help improve the way that biomedical scientists communicate about their data, so that information systems like the Neuroscience Information Framework (neuinfo.org) and the the Stimulating Peripheral Activity to Relieve Conditions (SPARC) can find data more easily and provide more powerful means of integrating data across distributed resources and datasets. One of the challenges for data integration and FAIR data (Findable, Accessible, Interoperable and Reusable) is the inconsistent use of terminology and data elements. InterLex allows for the association of data fields and data values to common data elements and terminologies enabling the crowdsourcing of data-terminology mappings within and across communities. InterLex provides a stable layer on top of the many other existing terminologies, lexicons, ontologies, and common data element collections and provides a set of inter-lexical and inter-data-lexical mappings. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.scicrunch.io/terminology-services/interlex.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.