Data Quality Assurance Practices in Research Data Repositories (SIG-STI)

Description

Data quality assurance (DQA) is fundamental to facilitating research data sharing and reuse, significantly impacting research reproducibility, transparency, and credibility. Despite the extensive literature on research data curation, there is a notable absence of theory-guided evaluations of DQA practices within research data repositories (RDRs). This webinar will present on a study that addresses this gap. The study involved a thorough analysis of the literature, 12 DQA-related standards and knowledge tools, 122 Core Trustworthy Data Repositories Certification applications, and 32 interviews with RDR curators and managers. The core of the presentation will be a DQA ontology (DQAO) that is grounded in the study’s findings and conceptualizes DQA activities and their structure within RDRs. This ontology provides a framework for predicting, evaluating, intervening in, and communicating data quality issues.