What is Data Quality to Research Data Repositories? Conference Paper

abstract

• This paper reports on the preliminary findings of a study that examined the data quality (DQ) assurance practices of research data repositories by analyzing their applications for the CoreTrustSeal Core Trustworthy Data Repositories certifica-tion. The paper identified what DQ meant to domain-based and institutional re-search data repositories and interpreted those through the DQ literature. Domain-based repositories used eleven dimensions to define their understanding of quali-ty, while institutional data repositories used only six. The analysis showed a posi-tive correlation between the level of curation and the subtlety of DQ specifica-tions, pointing to the centrality of data quality assurance (DQA) to data curation work. Institutional and domain-based data repositories and data curators can use the studys findings in conceptualizing, designing, and evaluating their DQA workflows.

name of conference

• iConference

authors

• Lee, Dong Joon

published proceedings

• iConference 2023 Proceedings

author list (cited authors)

• Stvilia, B., Gibradze, L., & Lee, D. J.

complete list of authors

• Stvilia, Besiki||Gibradze, Leila||Lee, Dong Joon

publication date

• March 2023

keywords

• Data Quality
• Data Quality Assurance
• Quality Dimensions
• Research Data Repositories

start page

• 1

end page

• 8

URL

• https://hdl.handle.net/2142/117383