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Ensuring the ethical use of big data: lessons from secure data access

Big data holds great potential for research and for society, large volumes of varied data can be produced and made available to researchers much faster compared to ‘traditional’ data. Whilst this potential is recognized, there are ethical concerns which users of big data must consider. With the volu...

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Detalles Bibliográficos
Autores principales: Wiltshire, Deborah, Alvanides, Seraphim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873544/
https://www.ncbi.nlm.nih.gov/pubmed/35243099
http://dx.doi.org/10.1016/j.heliyon.2022.e08981
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author Wiltshire, Deborah
Alvanides, Seraphim
author_facet Wiltshire, Deborah
Alvanides, Seraphim
author_sort Wiltshire, Deborah
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description Big data holds great potential for research and for society, large volumes of varied data can be produced and made available to researchers much faster compared to ‘traditional’ data. Whilst this potential is recognized, there are ethical concerns which users of big data must consider. With the volume and variety of information in big data, comes a greater risk of disclosure. Researchers and data access services working with highly detailed and sensitive, secure data have grappled with this for many years. The sector has developed both ethical frameworks and statistical disclosure control techniques which could be utilized by those working with big data. We discuss the challenges, present some of the frameworks and techniques and conclude with recommendations for secure data access of big data.
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spelling pubmed-88735442022-03-02 Ensuring the ethical use of big data: lessons from secure data access Wiltshire, Deborah Alvanides, Seraphim Heliyon Research Article Big data holds great potential for research and for society, large volumes of varied data can be produced and made available to researchers much faster compared to ‘traditional’ data. Whilst this potential is recognized, there are ethical concerns which users of big data must consider. With the volume and variety of information in big data, comes a greater risk of disclosure. Researchers and data access services working with highly detailed and sensitive, secure data have grappled with this for many years. The sector has developed both ethical frameworks and statistical disclosure control techniques which could be utilized by those working with big data. We discuss the challenges, present some of the frameworks and techniques and conclude with recommendations for secure data access of big data. Elsevier 2022-02-18 /pmc/articles/PMC8873544/ /pubmed/35243099 http://dx.doi.org/10.1016/j.heliyon.2022.e08981 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Wiltshire, Deborah
Alvanides, Seraphim
Ensuring the ethical use of big data: lessons from secure data access
title Ensuring the ethical use of big data: lessons from secure data access
title_full Ensuring the ethical use of big data: lessons from secure data access
title_fullStr Ensuring the ethical use of big data: lessons from secure data access
title_full_unstemmed Ensuring the ethical use of big data: lessons from secure data access
title_short Ensuring the ethical use of big data: lessons from secure data access
title_sort ensuring the ethical use of big data: lessons from secure data access
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873544/
https://www.ncbi.nlm.nih.gov/pubmed/35243099
http://dx.doi.org/10.1016/j.heliyon.2022.e08981
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