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Generating High Quality Administrative Data: New Technologies in a National Statistical Reuse Perspective

  • Manlio Calzaroni
  • Cristina Martelli
  • Antonio Samaritani
Conference paper
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 227)

Abstract

Statistical reuse of administrative data is limited by serious issues about data quality: these concerns are particularly serious in innovative contexts, in which only administrative data could provide the required granularity and fit to the real processes. Administrative data semantic and meta-information, in particular, are hardly ascribable to general notation standards: PA, as a services purchaser, is often not able to provide to its suppliers efficient clues about the way data must be denoted in their statistical reuse perspective. In this paper we discuss how new technologies and semantic web, in particular, may provide unprecedented methods and instruments to support PA in orienting their suppliers to high quality administrative data: the joint role of the National Statistical Institute and Public bodies, as owners of administrative data, will be discussed.

Keywords

Data reuse Statistical and administrative information systems Semantic web Statistical and PA ontologies 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Manlio Calzaroni
    • 1
  • Cristina Martelli
    • 2
  • Antonio Samaritani
    • 3
  1. 1.ISTATRomeItaly
  2. 2.Dipartimento DiSIAUniversità FirenzeFlorenceItaly
  3. 3.AGIDRomeItaly

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