Literature Informatics Initiative helps WRNMMC researchers to navigate the research information ecosystem for the research hypothesis development.
Literature informatics is analysis of multidisciplinary published literature for the scientific discovery, information gathering, processing and management, and information synthesis to enhance scientific inquiry and accelerate scientific discoveries.
If you have questions about the literature search for conduction of the research studies, information gathering, information processing and management, and information synthesis for writing scientific articles, contact Dr. Tmanova for consultation.
To request a consultation on hypothesis-driven analysis of published literature for research studies, please submit the Literature Informatics request.
An exponential publication of research studies resulted in accumulation of academic information challenging the discovery of research information from literature search databases, journals, and search engines. Traditional literature search engines are based on keywords and controlled vocabulary rather than on concepts and words meaning.
New generation literature search engines use Artificial Intelligence (AI), Machine Learning (ML), machine vision, semantic and textual analysis. These search engines use AI and semantic technologies to discover meaningful information for efficient access to knowledge in the heterogeneous informational environments. Semantic search engines use full-text indexing, smart filters, citation generation, exploration of the relevant concepts, creating search alerts, harvest articles in databases and the web, and ranking algorithms to understand the knowledge and information from abundant pools of literature. The GoldMiner, Radiopedia, Yottalook, SearchingRadiology.com, Semantic Scholar, and Microsoft Academic are next generation search engines used for literature search in radiology, science, and medicine.
Darnall Medical Library | Walter Reed NMMC | Building 1, Room 3458 | 8955 Wood Road | Bethesda, MD 20889 | 301-295-1184/85 | Open Monday-Friday, 0700-1730
After-hours access to the library is available to WRNMMC Staff via the CDO at 301-295-4611.