What is Data Quality to Research Data Repositories?

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

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

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

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.

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