Multi-Criteria Data Quality Assessment Maintenance perspective

Projekt:

JVTC

Sammanfattning:
Data quality (DQ) in maintenance has become an increasingly
important aspect to many firms as most of the maintenance
planning and implementations are based on data analysis. Poor
DQ has adverse effects at the operational, tactical, and strategic
levels of any organization. Respectively, poor DQ reduces
customer satisfaction, leading to poor decision making, and has
negative impacts on strategy execution. To improve DQ as well as
to evaluate the current status, DQ need to be measured following
the fact that only what can be measured can be improved. A
measure for DQ could be an important support for decision
makers. In order to assess DQ, related attributes should be
defined. These attributes could be related to the data itself, to the
metadata, or to the data representation schemes. After defining
these attributes, an assessment model should be used to evaluate
these attributes. The purpose of this paper is to propose a model
for DQ assessment. Therefore, a study of DQ attributes and the
possible metrics that could be used to measure these attributes was
undertaken. The proposed model will be applied on dataset
provided by the Swedish Transport Administration (Trafikverket)
for validation and to find an estimation measure of the DQ.

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Författare: Mustafa Al-Jumaili ; Ramin Karim ; Phillip Tretten
Utgivare: Luleå tekniska universitet
Utgivningsdatum: 2014
Diarienummer: TRV 2011/58769
ISBN: 978-91-7439-973-8
Antal sidor: 6
Språk: Engelska
Kontaktperson: Per Olof Larsson Kråik, UHjbs