This paper presents a summary of the methodological and technical path chosen for the study and realization of a federal Observatory for the study of the labour market in Lombardy, with specific attention to two points: firstly, the creation of the Observatory's organizational model based on a network structure aiming at optimizing competences, knowledge and the experience of the various public and private actors playing different roles in the Lombardy labour market; secondly, the optimization of data collected and dealt with for different ends by the various public institutions and private companies that make up the federal network. The realization, therefore, of a Statistical Informative System (SIS) to integrate such stock and flow data has significant importance. The work described comes from study and research by CRISP in recent years and the collaboration received from both local and central public administration.
Martini, M., Mezzanzanica, M. (2009). The Federal Observatory of the Labour Market in Lombardy: Models and Methods for the costruction of a Statistical Information System for Data Analysis. In C. Larsen, M. Mevius, J. Kipper, A. Schmid (a cura di), Information Systems for Regional Labour Market Monitoring - State of the Art and Prospectives. Rainer Hampp Verlag.
The Federal Observatory of the Labour Market in Lombardy: Models and Methods for the costruction of a Statistical Information System for Data Analysis
MARTINI, MATTIA;MEZZANZANICA, MARIO
2009
Abstract
This paper presents a summary of the methodological and technical path chosen for the study and realization of a federal Observatory for the study of the labour market in Lombardy, with specific attention to two points: firstly, the creation of the Observatory's organizational model based on a network structure aiming at optimizing competences, knowledge and the experience of the various public and private actors playing different roles in the Lombardy labour market; secondly, the optimization of data collected and dealt with for different ends by the various public institutions and private companies that make up the federal network. The realization, therefore, of a Statistical Informative System (SIS) to integrate such stock and flow data has significant importance. The work described comes from study and research by CRISP in recent years and the collaboration received from both local and central public administration.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.