From 1 to 3 November 2023, the 26th IEEE International Conference on Computational Science and Engineering (CSE-2023) was held in Exeter, United Kingdom. The conference provided three days of relevant presentations by researchers on complex data-based applications in science and engineering.
On 3 November 2023, the last day of this conference, the CSE-2 & iSCI: Computational Engineering session took place. This session aimed to bring together researchers and practitioners to address the challenges of complex big data computing, such as heterogeneity, and to provide a forum for presenting and discussing new ideas and trends in this highly challenging research area. During the session, Louis Sahi presented his paper entitled “Towards Reliable Collaborative Data Processing Ecosystems: Survey on Data Quality Criteria”, in which he collaborated with Romain Laborde, Mohamed-Ali Kandi, Michelle Sibilla, Giorgia Macilotti, Benzekr Abdelmaleki, Afonso Ferreira. In this study, they reviewed the existing data quality criteria in the literature to propose a general standardization of these data quality criteria (DQC). Indeed, this systematic literature review shows many discrepancies between the names of DQCs and their meanings. Therefore, they identified 30 DQCs, analyzed them, and proposed a unified and standardized name and definition for each criterion.
The future direction of this work will be to validate these criteria by using them to evaluate concrete data sets. This validation will show their applicability and usefulness in assessing data quality. Finally, Louis Sahi attended enriching panels and keynotes at the conference and received helpful feedback.