Risky Business: Data-At-Risk in a Dynamic and Evolving Multidisciplinary Research Environment

At-risk data is an unfortunate research reality and can be present in all data formats in a range of research disciplines. This is defined as data that are at risk of loss due to various factors, including deterioration of the media, lack of accompanying documentation and data that exists in non-dig...

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Bibliographic Details
Main Authors: Louise H. Patterton, Theo J. D. Bothma, Martie J. van Deventer
Format: Article
Language:English
Published: Ubiquity Press 2024-03-01
Series:Data Science Journal
Subjects:
Online Access:https://account.datascience.codata.org/index.php/up-j-dsj/article/view/1543