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# From practices to policies, research data governance at the university of Lille, France.

Julien Roche

► To cite this version:

Julien Roche. From practices to policies, research data governance at the university of Lille, France.. International Data Week 2025, Oct 2025, Brisbane, Australie. hal-05340111

HAL Id: hal-05340111

https://lilloa.hal.science/hal-05340111v1

Submitted on 31 Oct 2025

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# From practices to policies, research data governance at the university of Lille, France

The goal :

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to develop and define policies and harmonised practices for research data at an institutional level, connected to national strategies and international frameworks.

The first steps :

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Report to the Prime Minister - « Pour une politique publique de la donnée »¹ [for a public policy regarding data]. E. Botorel et al.

A national chief data and software officer for every ministry, coordinated by the Prime Minister office.

In Higher Education and Research, a network of chief data and software officers in universities and research-performing organisations.

In 2021, a roadmap² for Higher Education and Research in France, in order to tackle :

3 challenges :

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**Innovate** → Open up data, algorithms, and source codes to encourage their reuse.

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**Develop trust** → Amplify the openness of data, algorithms, and source code for greater transparency.

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**Simplify** → Make data circulation a tool for simplifying and streamlining administrative actions and processes.

... and 5 goals :

1. Promote, develop, and pool services for opening up and using data,

2. Contribute to French and European technological sovereignty and independence,

3. Develop a culture and use of data,

4. Make data, algorithms, and code a common good for the benefit of all,

5. Improve the international visibility of data on and from higher education, research, and innovation.

## A framework at the university of Lille :

« Principles for the governance of research data, algorithms and code at the university of Lille »³ have been prepared by the chief officer for research data and software, including :

* adoption by the Research Council of a strategic framework at the university level,

* definition of roles for every stakeholders,

* creation of a data cluster as a one-stop shop for the challenges the researchers are facing,

* development of tailored courses, in-person and online,

* coordination of all the research-performing organisations,

* creation of a data repository,

* coordination of a unit including all the helpful bodies and competencies inside the university to prepare guidelines and solve complex issues,

* participation in the national network to share and spread good practices and guidelines.

## Benefits :

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