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Proceedings Papers

Data Quality and Curation

Author:

Kevin Ashley

Digital Curation Centre, University of Edinburgh, Level 7, Appleton Tower, Crichton Street, Edinburgh EH8 9LE, UK, GB
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Abstract

Data quality is an issue that touches on every aspect of the research data landscape and is therefore appropriate to examine in the context of planning for future research data infrastructures. As producers, researchers want to believe that they produce high quality data; as consumers, they want to obtain data of the highest quality. Data centres typically have stringent controls to ensure that they only acquire and disseminate data of the highest quality. Data managers will usually say that they improve the quality of the data they are responsible for. Much of the infrastructure that will emit, transform, integrate, visualise, manage, analyse, and disseminate data during its life will have dependencies, explicit or implicit, on the quality of the data it is dealing with.
DOI: http://doi.org/10.2481/dsj.GRDI-011
How to Cite: Ashley, K., (2013). Data Quality and Curation. Data Science Journal. 12, pp.GRDI65–GRDI68. DOI: http://doi.org/10.2481/dsj.GRDI-011
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Published on 30 Jul 2013.
Peer Reviewed

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