Data collaborations at a local scale: Lessons learnt in Rennes (2010–2021)
Data sharing is a requisite for developing data-driven innovation and collaboration at the local scale. This paper aims to identify key lessons and recommendations for building trustworthy data governance at the local scale, including the public and private sectors. Our research is based on the expe...
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Format: | Article |
Language: | English |
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Cambridge University Press
2023-01-01
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Series: | Data & Policy |
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Online Access: | https://www.cambridge.org/core/product/identifier/S2632324923000160/type/journal_article |
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author | Simon Chignard Marion Glatron |
author_facet | Simon Chignard Marion Glatron |
author_sort | Simon Chignard |
collection | DOAJ |
description | Data sharing is a requisite for developing data-driven innovation and collaboration at the local scale. This paper aims to identify key lessons and recommendations for building trustworthy data governance at the local scale, including the public and private sectors. Our research is based on the experience gained in Rennes Metropole since 2010 and focuses on two thematic use cases: culture and energy. For each one, we analyzed how the power relations between actors and the local public authority shape the modalities of data sharing and exploitation. The paper will elaborate on challenges and opportunities at the local level, in perspective with the national and European frameworks. |
first_indexed | 2024-03-13T06:32:35Z |
format | Article |
id | doaj.art-098ccb20a6834232807554e05674fdfd |
institution | Directory Open Access Journal |
issn | 2632-3249 |
language | English |
last_indexed | 2024-03-13T06:32:35Z |
publishDate | 2023-01-01 |
publisher | Cambridge University Press |
record_format | Article |
series | Data & Policy |
spelling | doaj.art-098ccb20a6834232807554e05674fdfd2023-06-09T07:00:22ZengCambridge University PressData & Policy2632-32492023-01-01510.1017/dap.2023.16Data collaborations at a local scale: Lessons learnt in Rennes (2010–2021)Simon Chignard0https://orcid.org/0000-0002-3299-6354Marion Glatron1Urban Innovative Actions, Lille, FranceRennes Métropole, Rennes, FranceData sharing is a requisite for developing data-driven innovation and collaboration at the local scale. This paper aims to identify key lessons and recommendations for building trustworthy data governance at the local scale, including the public and private sectors. Our research is based on the experience gained in Rennes Metropole since 2010 and focuses on two thematic use cases: culture and energy. For each one, we analyzed how the power relations between actors and the local public authority shape the modalities of data sharing and exploitation. The paper will elaborate on challenges and opportunities at the local level, in perspective with the national and European frameworks.https://www.cambridge.org/core/product/identifier/S2632324923000160/type/journal_articleCollaborationdata sharingenergygovernancelocal public authority |
spellingShingle | Simon Chignard Marion Glatron Data collaborations at a local scale: Lessons learnt in Rennes (2010–2021) Data & Policy Collaboration data sharing energy governance local public authority |
title | Data collaborations at a local scale: Lessons learnt in Rennes (2010–2021) |
title_full | Data collaborations at a local scale: Lessons learnt in Rennes (2010–2021) |
title_fullStr | Data collaborations at a local scale: Lessons learnt in Rennes (2010–2021) |
title_full_unstemmed | Data collaborations at a local scale: Lessons learnt in Rennes (2010–2021) |
title_short | Data collaborations at a local scale: Lessons learnt in Rennes (2010–2021) |
title_sort | data collaborations at a local scale lessons learnt in rennes 2010 2021 |
topic | Collaboration data sharing energy governance local public authority |
url | https://www.cambridge.org/core/product/identifier/S2632324923000160/type/journal_article |
work_keys_str_mv | AT simonchignard datacollaborationsatalocalscalelessonslearntinrennes20102021 AT marionglatron datacollaborationsatalocalscalelessonslearntinrennes20102021 |