a b s t r a c tToday, the innovation and quality of the software industry's products and services depend to a great extent on the knowledge, ability and talent applied by software engineers. At the same time, human aspects are recognized as one of the main problems associated with software development projects. More specifically, inefficiencies usually come from inadequate verification of software engineers' competences. Another issue is the lack of an established career for software engineers, which adds difficulties to eval uate competences. With these challenges in mind, this paper presents a study conducted in the software industry to test competence gaps among software practitioners, comparing the 360 degree feedback results and self evaluations with that of standard competence levels. The results of this research may be very valuable to organizations immersed in software development projects.
The aim of this paper is to present an initiative of application of the Linked Data principles to promote data interoperability between heterogeneous OpenCourseWare (OCW) repositories and to enhance the search and discovery of contents created and shared by the universities. Design/methodology/approach This paper is a case study of how Linked Data technologies can be applied for the enhancement of open learning contents. Findings Results presented under the umbrella of OpenCourseWare Consortium (OCWC) and OCW-Universia consortium, as the integration and access to content from different repositories OCW and the development of a query method to access these data, reveal that Linked Data would offer a solution to filter and select semantically those open educational contents, and automatically are linked to the Linked Open Data Cloud. Originality/value The new OCW integration with Linked Data adds new features to the initial framework including improved query mechanisms and interoperability. * OCW-Universia promotes and disseminates the OCW concept in Ibero-America. Consuming and producing linked open data: the case of OpenCourseWare 3
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.