Data Quality and Curation
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...
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Ubiquity Press
2013-07-01
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| Series: | Data Science Journal |
| Online Access: | http://datascience.codata.org/articles/239 |
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doaj-fdad0749e3284975ad85a0613094d8ce2020-11-24T22:56:07ZengUbiquity PressData Science Journal1683-14702013-07-011210.2481/dsj.GRDI-011239Data Quality and CurationKevin Ashley0Digital Curation Centre, University of Edinburgh, Level 7, Appleton Tower, Crichton Street, Edinburgh EH8 9LE, UKData 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.http://datascience.codata.org/articles/239 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Kevin Ashley |
| spellingShingle |
Kevin Ashley Data Quality and Curation Data Science Journal |
| author_facet |
Kevin Ashley |
| author_sort |
Kevin Ashley |
| title |
Data Quality and Curation |
| title_short |
Data Quality and Curation |
| title_full |
Data Quality and Curation |
| title_fullStr |
Data Quality and Curation |
| title_full_unstemmed |
Data Quality and Curation |
| title_sort |
data quality and curation |
| publisher |
Ubiquity Press |
| series |
Data Science Journal |
| issn |
1683-1470 |
| publishDate |
2013-07-01 |
| description |
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. |
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http://datascience.codata.org/articles/239 |
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