Navigate to https://biodatacatalyst.nhlbi.nih.gov/use-bdc/explore-data/dug/ to access Dug Semantic Search.
Semantic search is a concept-based search engine designed for users to search biomedical concepts, such as “asthma,” “lung,” or “fever,” and the variables related to and/or used to measure them. For example, a search for “chronic pain acceptance” will return a list of related biomedical concepts, such as chronic pain, headaches, neuralgia, or fibromyalgia, each of which can be expanded to display related variables and CDEs. Semantic search can also find variable names and descriptions directly, using synonyms from its knowledge graphs to find search-related variables.
Enter a search term and press “Enter,” or click on the Search button. This will take you to the Semantic Search interface.
Step-by-step guidance on using Dug Semantic Search: efficiently and effectively perform and interpret a search using Dug.
Dug Semantic Search is a tool that allows users to deep dive into BDC studies and biomedical topics, research, and publications to identify related studies, datasets, and variables. If you are interested in how Dug connects study variables to biomedical concepts, read the Dug paper or visit the Help Portal.
This tool applies semantic web and knowledge graph techniques to improve BDC research data Findability, Access, Interoperability, and Reusability (FAIR). Through this process, semantic search helps users identify novel relations, build unique research questions, and identify potential collaborations.