Open Data (OD) is one of the most discussed issue of Big Data which raised the joint interest of public institutions, citizens and private companies since 2009. However, the massive amount of freely available data has not yet brought the expected effects: as of today, there is no application that has fully exploited the potential provided by large and distributed information sources in a non-trivial way, nor any service has substantially changed for the better the lives of people. The era of a new generation applications based on OD is far to come. In this context, we observe that OD quality is one of the major threats to achieving the goals of the OD movement. The starting point of this case study is the quality of the OD released by the five Constitutional offices of Italy. Our exploratory case study aims to assess the quality of such releases and the real implementations of OD. The outcome suggests the need of a drastic improvement in OD quality. Finally we highlight some key quality principles for OD, and propose a roadmap for further research.
Big Data Quality: a Roadmap for Open Data
Poggi Francesco;
2016
Abstract
Open Data (OD) is one of the most discussed issue of Big Data which raised the joint interest of public institutions, citizens and private companies since 2009. However, the massive amount of freely available data has not yet brought the expected effects: as of today, there is no application that has fully exploited the potential provided by large and distributed information sources in a non-trivial way, nor any service has substantially changed for the better the lives of people. The era of a new generation applications based on OD is far to come. In this context, we observe that OD quality is one of the major threats to achieving the goals of the OD movement. The starting point of this case study is the quality of the OD released by the five Constitutional offices of Italy. Our exploratory case study aims to assess the quality of such releases and the real implementations of OD. The outcome suggests the need of a drastic improvement in OD quality. Finally we highlight some key quality principles for OD, and propose a roadmap for further research.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


