Caliper: Interoperability and Management of Statistical Classifications

Résumé fourni par la source

Abstract. FAO and other agencies of the UN Family regularly collect and publish a wealth of official data according to the Open and FAIR data and metadata principles, to enable their reusability and interoperability. The role played by statistical classifications in these data activities cannot be overestimated, as they provide the “meaning” of the data collected and disseminated. In this paper we describe Caliper, a methodological and infrastructural framework that enhances the interoperability of statistical classifications, as well as their creation and maintenance. Launched in 2020, as the FAO platform for the dissemination of statistical classifications, since 2024 it is a reusable suite of tools supporting the entire life cycle of statistical classifications, including creation, maintenance and publication. Moreover, Caliper is now the infrastructural and methodological basis for a partnership of custodians sharing the vision of an international community of data producers and users devoted to producing better statistics. In this paper we present Caliper as a suite of tools and the Linked Data publication style adopted by Caliper. We also discuss the contribution of our endeavor to the achievement of syntactic and semantic interoperability of data. Our work benefits custodians of statistical classifications, data producers and policy makers, researchers, public administration and other agents that are involved in the use, integration and interpretation of data, and for whom data interoperability is the cornerstone of their activities.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.