Naslov
Data quality in the context of longitudinal research studies

Autori
Carić, Tonko ; Kocijan, Kristina

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
7th International Conference The Future of Information Sciences INFuture2019: knowledge in the digital age : proceedings / Bago, Petra ; Hebrang Grgić, Ivana ; Ivanjko, Tomislav ; Juričić, Vedran ; Miklošević, Željka ; Stublić, Helena - Zagreb : Odsjek za informacijske i komunikacijske znanosti Filozofskog fakulteta Sveučilišta u Zagrebu, 2019, 98-104

Skup
7th International Conference The Future of Information Sciences (INFuture 2019)

Mjesto i datum
Zagreb, Hrvatska, 21.11.2019. - 22.11.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
data quality ; quality assurance ; data collection ; research data ; longitudinal study

Sažetak
This paper discusses the concept of data quality in the context of longitudinal research. By deconstructing quality assurance process and data collection strategies through a case study of the “Croatian Birth Cohort Study“, we try to define causes and sources of poor data quality in the context of longitudinal studies. Besides the problems discussed throughout the known literature (panel conditioning, sample attrition, recall bias, temporal and financial demands), we introduce singlesource problems, multi-source problems, security problems, design questionnaire problems and QA workflow problems as important aspects in the domain of the possible sources of errors. Additionaly, we propose models for eliminating the errors through prevention and detection in order to improve data quality.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

POVEZANOST RADA