Scholarly publishing tech provider HighWire has announced that McGraw-Hill has implemented HighWire’s latest hosting and access management technology.
McGraw-Hill’s AccessEngineering is a flagship engineering resource for students, faculty and professionals and has used HighWire solutions since 2011. The site offers 700 books plus a mix of other non-standard content such as videos, spreadsheets and tutorials, which HighWire is perfectly placed to handle.
Scolaris, part of the HighWire Hosting solution, is an award-winning integrated content platform that will enable McGraw-Hill to easily publish multiple content types on a single site. The hosting upgrade provides McGraw-Hill with a modern user experience thanks to new software, new features and a new design.
HighWire Identity, delivered via SAMS Sigma, provides McGraw-Hill’s site users with a single sign-on to access scholarly content. It enables the publisher to identify each user and delivers a simple, flexible and scalable way to license content and control access.
HighWire was trusted to deal with very complex taxonomies, which McGraw-Hill believed to be the best mechanism for providing its users an excellent search and discovery experience and aiding the research process by enabling users to rapidly zero in on the most relevant information.
AccessEngineering has five taxonomies built into it (subjects, industries, courses, equations, and codes & standards), along with a personal curation layer designed to tailor results specifically to the end-user.
Furthermore, the HighWire solution integrates with Hypothesis to enable annotations, as well as CASA (Campus Activated Subscriber Access).
HighWire worked with Google Scholar to develop CASA, which enables seamless off-campus and mobile access to subscribed scholarly content. With CASA, users may access their libraries’ subscriptions just as easily as when they are on campus.
Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.
