64th ISI World Statistics Congress - Ottawa, Canada

64th ISI World Statistics Congress - Ottawa, Canada

Measuring value of the official statistics in the new data eco-system in TURKSTAT

Abstract

In recent years, the rapid progress of the information age has led to an increased amount of data, increased importance of trustworthy information, increased the the value of reliable data and increased expectations from producers of official statistics such as national statistical offices (NSOs) and other official statistics producers worldwide. Nevertheless, the incease in the volume and variety and sourses of data does not imply that obtaining quality information and producing reliable statistics requires less effort. The significance of official statistics is continually being shaped by these advancements, and the emergence of the new data environment has further emphasized the importance of official statistics as a provider of valuable and dependable data.
The Official Statistics Programme (OSP) plays a crucial role in ensuring the efficient operation of the Turkish Statistical System. TurkStat, as the coordinator of the system, is responsible for reviewing the quality of official statistics produced within the framework of the OSP. This quality review is known as the "Quality Logo," and TurkStat has been conducting it since 2015. Additionally, TurkStat also conducts quality reviews for its own statistics, this quality review is known as Quality Monitoring and Assessment Tool (QMAT)
As the data ecosystem evolved, statistical production has expanded from traditional survey and administrative data sources to web data and big data. To adapt to this development, TurkStat modified the self-assessment instrument and integrated ESS CoP (European Statistical System Code of Practice) principles with scoring tables to measure the value of official statistics. This method has demonstrated that the value of national statistics is quantifiable.
This paper presents both the theoretical and practical details of the TurkStat quality review system, quality review process, and the model used to measure the value of official statistics in the new data ecosystem.