The UML subscribes to the Dimensions database for the use of students, faculty and staff. Dimensions is a linked research knowledge system with a new approach to discovery and access to research.
Searching across publications provides a narrow view of the research ecosystem in any given field, and misses much of the related activity that takes place before and after a research project has been carried out. Developed in collaboration with over 100 leading research organizations around the world, Dimensions simultaneously searches
providing a platform enabling users to find and access the most relevant information faster, analyze the academic and broader outcomes of research, and gather insights to inform future strategy.
Crucially, Dimensions offers a much wider and more open scope than PubMed, Scopus, or Web of Science, and in combination with Ebsco Discovery Service and Google Scholar, is a more effective tool for literature review.
With Dimensions you can:
To date, few discovery platforms have moved beyond the core publication-citation graph and extended it to explore allied areas of research activity such as awarded grants, patents, and clinical trials. The central theses of the Dimensions database are that: (i) these data are now sufficiently available to make such a database possible with good enough coverage that the results and linkages are interesting; (ii) the combination of these data give a user access to greater context of a piece of research and allow this user to fulfill a significantly wider set of use cases.
Adapted from Hook Daniel W., Porter Simon J., Herzog Christian "Dimensions: Building Context for Search and Evaluation in Frontiers in Research Metrics and Analytics, Vol.3, 2018
https://www.frontiersin.org/article/10.3389/frma.2018.00023 (Available for download at left.)
