Illustrata™: Natural Sciences

During the research process, critical data and findings remain hidden, and researchers can spend countless hours hunting through journal articles for data specific to their needs. With traditional article-level and full-text searching of journal content, relevant data in tables is figures are hidden from view and not easily accessible. This is because specific information about tables and figures does not appear in any index—there were no indexing "hooks" in the title, abstract, or caption…until now.
Illustrata: Natural Sciences offers groundbreaking deep indexing that pinpoints high-value tables and figures in journal articles. Through this new approach, researchers can instantly identify the findings that are critical to their specific work, and discover findings in unexpected sources. Records for each journal table or figure include a thumbnail image, caption, bibliographic details, detailed hyperlinked index terms, and subscription-sensitive article links. The visualization of data and the interdisciplinary nature of Illustrata: Natural Sciences can also lead to unexpected discoveries or connections between seemingly disparate pieces of work.
Illustrata: Natural Sciences provides deep indexing that spans a wide range of subject areas including: Biology, Earth Sciences, Environmental Studies, Medical Sciences, Agriculture, Fish and Fisheries, Geography, Veterinary Science, Food and Food Industries, Pharmacy and Pharmacology, Meteorology, Public Health and Safety, Water Resources, Conservation, Forests, and Forestry. And this powerful resource seamlessly integrates with the databases you currently subscribe to through the CSA Illumina platform.
Illustrata: Natural Sciences offers deep indexing for over 4.7 million images from more than 3,460 journals and is continuously growing.
Accolades for Illustrata: Natural Sciences include:
Illustrata was developed with researchers and librarians to improve the precision, efficiency, and relevance of searches. During the development of Illustrata, researchers were given access to a prototype and asked to comment on what they perceived as the potential uses and benefits of the system; such uses included: