Scaffolding the OEEU's Data-Driven Ecosystem to Analyze the Employability of Spanish Graduates
Date
2018-01-01
Authors
Vázquez-Ingelmo, A.
Cruz-Benito, J.
García-Peñalvo, F. J.
Martín-González, M.
Journal Title
Journal ISSN
Volume Title
Publisher
IGI Global
Abstract
This chapter outlines the technological evolution experimented by the Observatory for University
Employability and Employment’s information system to become a data-driven technological ecosystem.
This observatory collects data from more than 50 Spanish universities and their graduate students
(bachelor’s degree, master’s degree) with the goal of measuring the factors that lead to students’ employability
and employment. The goals pursued by the observatory need a strong technological support
to gather, process, and disseminate the related data. The system that supports these tasks has evolved
from a standard (traditional) information system to a data-driven ecosystem, which provides remarkable
benefits covering the observatory’s requirements. The benefits, the foundations, and the way the
data-driven ecosystem is built will be described throughout the chapter, as well as how the information
obtained is exploited in order to provide insights about the employment and employability variables.
Description
Keywords
Data-Driven Ecosystem
Citation
Vázquez-Ingelmo, A., Cruz-Benito, J., García-Peñalvo, F. J., & Martín-González, M. (2018). Scaffolding the OEEU's Data-Driven Ecosystem to Analyze the Employability of Spanish Graduates. In F. J. García-Peñalvo (Ed.), Global Implications of Emerging Technology Trends (pp. 236-255). Hershey PA, USA: IGI Global.