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...
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 |
Similar Items
-
Early meteorological records from Corrientes and Bahía Blanca, Argentina: Initial ACRE‐Argentina data rescue and related activities
by: Susan Gabriela Lakkis, et al.
Published: (2023-07-01) -
Data rescue in selected countries in connection with the EUMETNET DARE activity
by: Barbara Chimani, et al.
Published: (2022-06-01) -
Migrating 120,000 Legacy Publications from Several Systems into a Current Research Information System Using Advanced Data Wrangling Techniques
by: Yrjö Lappalainen, et al.
Published: (2023-11-01) -
Leveraging the Organisational Legacy: Understanding How Businesses Integrate Legacy Data into Their Big Data Plans
by: Sanjay Jha, et al.
Published: (2020-06-01) -
Hydrometric data rescue and extension of river flow records: Method development and application to catchments modified by arterial drainage
by: Kate deSmeth, et al.
Published: (2024-04-01)