Page 224 - Contributed Paper Session (CPS) - Volume 6

CPS1904 Tímea B. et al.

Plutus – A new tool to standardise the metadata
of seasonal adjustment
Tímea Baczakó, Mária Pécs
Hungarian Central Statistical Office

Abstract
Standardisation and process-driven developments of methodological and
information technological services have always existed at the Hungarian
Central Statistical Office, even if they have not been common and uniform for
the whole institution or the whole statistical business process chain. The
philosophy of this Business Architecture model is cross-cutting, thus it covers
all subject-matter domains, their data and metadata flows in an integrated
way. The driving force behind using standards in the Hungarian Central
Statistical Office is to support the efficient operation of the organisation and
to foster harmonisation of its statistical activities and also the statistical and
the non-statistical (supporting) activities. The Hungarian Central Statistical
Office currently concentrates on the modernisation and operationalisation of
its BA and considers it as a main driver for the modernisation activities. As part
of this modernisation, the Hungarian Central Statistical Office revised its
previous business process model according to the Generic Statistical Business
Process Model ver. 5.0; the Hungarian adaptation of the Generic Statistical
Business Process Model, called ‘Egységes Statisztikai Folyamat Modell’ in
Hungarian was created. After this, in the last year the seasonal adjustment, one
of the sub-processes of ‘Egységes Statisztikai Folyamat Modell’, was part of
the modernization and standardisation. The focus was on the handling
metadata of seasonal adjustment. Seasonal adjustment is an integrated step
of the statistical business process in the official statistics, therefore a proper
system that guarantees the high quality results is important for every National
Statistical Institute. The aim of Plutus, the system presented in this paper could
support seasonal adjustment in more integrated way in a National Statistical
Institute with a standard metainformation system in place. Quality of metadata
can be assured among others when they are up-to-date, comparable,
consistent, available, standardised, related, complete, and understandable.
The Hungarian Central Statistical Office has more than 40 years of history on
the field of metadata integration where development is never finished, but
we can stop at a certain point at take a snapshot of the current state-of-the-
art. Creative thinking for developing and implementing standards and
general overview of the integrated system is necessary to conduct the
methodological improvements.

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