SOA Software, a leading provider of API management solutions, has announced that Semantics Manager, an information model and standards alignment platform, has been optimised for use in the life sciences and biopharma industry. With the massive amounts of data used, processed and managed by life sciences and pharmaceutical companies, Semantics Manager will complement and optimise the ability of these companies to use that data consistently across APIs and applications.
Semantics Manager helps organisations define and align their multiple internal information models to both industry standard definitions and to a common internal representation. This representation can in turn be fed into Lifecycle Manager to guide API development and delivery as part of the end-to-end API lifecycle, and into other tools for direct consumption. Semantics Manager provides a foundation for an organisation’s efforts to pull data from multiple repositories and prepare it to be transactional in APIs and applications, whether on-premise, in the cloud or on mobile devices.
‘Getting an organisation’s information model correct is the key to building the right APIs,’ said Brent Carlson, SOA Software’s senior vice president of product development. ‘Most IT organisations have to deal with a wide variety of inconsistent information models resulting from packaged applications, siloed legacy application development, mergers and acquisitions. In addition, many industries have established, or are in the process of establishing, common information models to improve business partner interchange, and to support regulatory governance and compliance mandates. This is especially true in the life sciences field. Semantics Manager offers an instantly usable solution for management and applicability of that data.’
For the life sciences industry, Semantics Manager improves the ability to understand the impact of changes to both standards and operational data representations as they evolve. Semantics Manager combines existing standards (e.g., CDISC, BRDIG and ISO 21090) with a flexible metamodel definition framework that easily accommodates new standards.
