ANALYSIS-SENSITIVE CONVERSION OF ADMINISTRATIVE DATA INTO STATISTICAL INFORMATION SYSTEMS

Mirko Cesarini, Mariagrazia Fugini, Mario Mezzanzanica

2006

Abstract

In this paper we present a methodological approach to develop a Statistical Information System (SIS), out of administrative archives of the Public Administrations. Such archives are a rich source of information, but an attempt to use them as sources for statistical analysis reveals errors and incompatibilities that do not permit their usage as a statistical and decision support basis. The proposed methodological approach encompasses building a SIS out of administrative data, such as design of an integration model for different and heterogeneous data sources, improvement of the overall data quality, removal of errors that might impact on the correctness of statistical analysis, design of a data warehouse for statistical analysis, and design of a multidimensional database to develop indicators for decision support. We present a case study, the AMeRIcA Project.

References

  1. Buzzigoli, L. (2002). The new role of statistics in local public administration. In Proceedings of the Conference Quantitative Methods in Economics (multiple Criteria Decision Making XI), pages 28-34, Faculty of Economics and Management, Slovak Agricultural University, Nitra (SK).
  2. Census (2005). Census bureau section 515 information quality guidelines, OFFICE OF MANAGEMENT AND BUDGET, guidelines for ensuring and maximizing the quality, objectivity, utility, and integrity of information disseminated by federal agencies. Available at http://www.census.gov/quality/.
  3. Denk, M. and Froeschl, K. (2000). The IDARESA data mediation architecture for statistical aggregates. Research in Official Statistics, 3(1):pp.7-38.
  4. Hatzopoulos, M., Karali, I., and Viglas, E. (1998). Attacking diversity in NSIs' Storage Infrastructure: The ADDSIA approach. In Proceeding of International Seminar on New Techniques and Technologies in Statistics, pages 229-234, Sorrento (IT).
  5. Hoffmann, E. (1995). We must use administrative data for official statistics - but how should we use them? Statistical Journal of the United Nations/ECE, 12:pp. 41- 48.
  6. IQ1 (2005). Information quality I, 2005. Principles and foundation, the MIT total data quality management program. Available at http://web.mit.edu/ tdqm/www/index.shtml.
  7. Papageorgiou, H., Pentaris, F., Theodorou, E., Vardaki, M., and Petrakos, M. (2001). A statistical metadata model for simultaneous manipulation of both data and metadata. J. Intell. Inf. Syst., 17(2-3):pp. 169-192.
Download


Paper Citation


in Harvard Style

Cesarini M., Fugini M. and Mezzanzanica M. (2006). ANALYSIS-SENSITIVE CONVERSION OF ADMINISTRATIVE DATA INTO STATISTICAL INFORMATION SYSTEMS . In Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-972-8865-41-2, pages 293-296. DOI: 10.5220/0002494402930296


in Bibtex Style

@conference{iceis06,
author={Mirko Cesarini and Mariagrazia Fugini and Mario Mezzanzanica},
title={ANALYSIS-SENSITIVE CONVERSION OF ADMINISTRATIVE DATA INTO STATISTICAL INFORMATION SYSTEMS},
booktitle={Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2006},
pages={293-296},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002494402930296},
isbn={978-972-8865-41-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - ANALYSIS-SENSITIVE CONVERSION OF ADMINISTRATIVE DATA INTO STATISTICAL INFORMATION SYSTEMS
SN - 978-972-8865-41-2
AU - Cesarini M.
AU - Fugini M.
AU - Mezzanzanica M.
PY - 2006
SP - 293
EP - 296
DO - 10.5220/0002494402930296