Fostering trustworthy data sharing: Establishing data foundations in practice
Independent data stewardship remains a core component of good data governance practice. Yet, there is a need for more robust independent data stewardship models that are able to oversee data-driven, multi-party data sharing, usage and re-usage, which can better incorporate citizen representation, es...
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Format: | Article |
Language: | English |
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Cambridge University Press
2021-01-01
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Series: | Data & Policy |
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Online Access: | https://www.cambridge.org/core/product/identifier/S2632324920000243/type/journal_article |
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author | Sophie Stalla-Bourdillon Laura Carmichael Alexsis Wintour |
author_facet | Sophie Stalla-Bourdillon Laura Carmichael Alexsis Wintour |
author_sort | Sophie Stalla-Bourdillon |
collection | DOAJ |
description | Independent data stewardship remains a core component of good data governance practice. Yet, there is a need for more robust independent data stewardship models that are able to oversee data-driven, multi-party data sharing, usage and re-usage, which can better incorporate citizen representation, especially in relation to personal data. We propose that data foundations—inspired by Channel Islands’ foundations laws—provide a workable model for good data governance not only in the Channel Islands, but also elsewhere. A key advantage of this model—in addition to leveraging existing legislation and building on established precedent—is the statutory role of the guardian that is a unique requirement in the Channel Islands, and when interpreted in a data governance model provides the independent data steward. The principal purpose for this paper, therefore, is to demonstrate why data foundations are well suited to the needs of data sharing initiatives. We further examine how data foundations could be established in practice—and provide key design principles that should be used to guide the design and development of any data foundation. |
first_indexed | 2024-04-10T04:51:58Z |
format | Article |
id | doaj.art-d2612cffb625433c8d6d4cde552feadf |
institution | Directory Open Access Journal |
issn | 2632-3249 |
language | English |
last_indexed | 2024-04-10T04:51:58Z |
publishDate | 2021-01-01 |
publisher | Cambridge University Press |
record_format | Article |
series | Data & Policy |
spelling | doaj.art-d2612cffb625433c8d6d4cde552feadf2023-03-09T12:31:34ZengCambridge University PressData & Policy2632-32492021-01-01310.1017/dap.2020.24Fostering trustworthy data sharing: Establishing data foundations in practiceSophie Stalla-Bourdillon0Laura Carmichael1Alexsis Wintour2https://orcid.org/0000-0001-7108-9397Law School, University of Southampton, Southampton, United KingdomLaw School, University of Southampton, Southampton, United KingdomLapin Ltd, Jersey, JerseyIndependent data stewardship remains a core component of good data governance practice. Yet, there is a need for more robust independent data stewardship models that are able to oversee data-driven, multi-party data sharing, usage and re-usage, which can better incorporate citizen representation, especially in relation to personal data. We propose that data foundations—inspired by Channel Islands’ foundations laws—provide a workable model for good data governance not only in the Channel Islands, but also elsewhere. A key advantage of this model—in addition to leveraging existing legislation and building on established precedent—is the statutory role of the guardian that is a unique requirement in the Channel Islands, and when interpreted in a data governance model provides the independent data steward. The principal purpose for this paper, therefore, is to demonstrate why data foundations are well suited to the needs of data sharing initiatives. We further examine how data foundations could be established in practice—and provide key design principles that should be used to guide the design and development of any data foundation.https://www.cambridge.org/core/product/identifier/S2632324920000243/type/journal_articlecitizen representationdata foundationsdata governance modelsdata institutionsguardianindependent data stewardship |
spellingShingle | Sophie Stalla-Bourdillon Laura Carmichael Alexsis Wintour Fostering trustworthy data sharing: Establishing data foundations in practice Data & Policy citizen representation data foundations data governance models data institutions guardian independent data stewardship |
title | Fostering trustworthy data sharing: Establishing data foundations in practice |
title_full | Fostering trustworthy data sharing: Establishing data foundations in practice |
title_fullStr | Fostering trustworthy data sharing: Establishing data foundations in practice |
title_full_unstemmed | Fostering trustworthy data sharing: Establishing data foundations in practice |
title_short | Fostering trustworthy data sharing: Establishing data foundations in practice |
title_sort | fostering trustworthy data sharing establishing data foundations in practice |
topic | citizen representation data foundations data governance models data institutions guardian independent data stewardship |
url | https://www.cambridge.org/core/product/identifier/S2632324920000243/type/journal_article |
work_keys_str_mv | AT sophiestallabourdillon fosteringtrustworthydatasharingestablishingdatafoundationsinpractice AT lauracarmichael fosteringtrustworthydatasharingestablishingdatafoundationsinpractice AT alexsiswintour fosteringtrustworthydatasharingestablishingdatafoundationsinpractice |