What is Data Quality to Research Data Repositories?

Stvilia, Besiki; Gibradze, Leila; Lee, Dong Joon

Content Files

119-abstract.docx

119-abstract.docx

119-poster.pdf

Permalink

https://hdl.handle.net/2142/117383

Description

Title

What is Data Quality to Research Data Repositories?

Author(s)

Stvilia, Besiki
Gibradze, Leila
Lee, Dong Joon

Issue Date

2023-03-13

Keyword(s)

Data quality
Research data repositories
Quality dimensions and Data quality as-surance

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 Reposito-ries certification. The paper identified what DQ meant to domain-based and institutional research data repositories and interpreted those through the DQ literature. Domain-based repositories used eleven dimensions to define their understanding of quality, while institutional data repositories used only six. The analysis showed a positive correlation between the level of curation and the subtlety of DQ specifications, 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 study’s findings in conceptualizing, designing, and evaluating their DQA workflows.

Publisher

iSchools

Series/Report Name or Number

iConference 2023 Proceedings

Type of Resource

Other
text

Genre of Resource

Conference Poster

Language

eng

Handle URL

https://hdl.handle.net/2142/117383

Copyright and License Information

Copyright 2023 is held by Besiki Stvilia, Leila Gibradze, Dong Joon Lee. Copyright permissions, when appropriate, must be obtained directly from the authors.

Owning Collections

iConference 2023 Posters PRIMARY