open science awareness
Research data
One principle: "As open as possible, as closed as necessary."
Online training from the Aix-Marseille University libraries
Source : Ouvrir la science
Research data
2. Examples of data
1. Definition
4. Why manage data?
3. ISSUES
6. FAIR principles
5. The data cycle
7. Data Management Plan
8. Quiz
Contents
9. Resources to consult
Research data
Research data
1. DEfinition :
RESEARCH DATA « Research data are defined as factual records (numbers, texts, images, sounds, etc.) that are used as primary sources for scientific research and are generally recognised by the scientific community as necessary for validating research results. »
Source : Organisation de coopération et de développement économiques - OCDE
Research data
2. Examples of data from the research
Source : Le Réservoar, 2020
Research data
3. Issues
Opening up your datasets allows you to:
increase the visibility of your work
to be quoted more often
to fulfil an obligation under the ‘Digital Republic Act’
to foster new collaborations
to promote transparency and ethics in research, to guarantee the integrity of research, to protect you from scientific fraud
Source : Ouvrir la science
Research data
4. Why manage your research data?
If data is not managed properly, researchers encounter numerous difficulties:
Loss of data when a researcher leaves the laboratory.
Inability to reproduce the results of scientific research because the data and code are not accessible or are poorly documented and not reusable.
Scattered, volatile storage practices with no guarantee of durability (hard drive, USB stick, cloud, etc.).
No solution for storing and opening data collected during a research project in a sustainable manner.
Source : Recherche Data Gouv
Research data
5. The data cycle
Good data management is useful for yourself and for others. When anticipated and planned from the outset of the research, it makes it easy to find your data and makes it accessible and reusable by others. At the end of a research project, it facilitates the archiving and dissemination of datasets.
Collection
Access provision
Description
Archiving
Storage
Source : Passeport pour la science ouverte
Processing and analysis
This diagram is taken from the first edition of “Passeport pour la science” (Passport to Science), published in July 2020.
Research data
6. The FAIR Principles
“Set of guiding principles for managing research data.”
Facile à trouver
Requires description and indexing of data and metadata
Findable
Accessible
Facilitate their access and/or download by specifying the conditions of access
Accessible
Downloadable, usable, understandable, and combinable with other data, by humans and machines
Interopérable
Interoperable
Highlights the characteristics that make data reusable for future research or other purposes
Réutilisable
Reusable
+ info
Source : Ouvrir la science : principes FAIR
Research data
7. A TOOL: The data management plan
Example of a PGD or DMP
It is a summary document that helps to organize and anticipate all stages of the data lifecycle. It explains for each dataset how the data for a project will be managed, from its creation or collection to its sharing and archiving.
Financial aspect
The DMP (Data Management Plan) or PGD (Plan de gestion des données) is evolving and may be a deliverable required by certain funders such as the ANR or the European Commission.
From the outset of your thesis, invaluable assistance
further information
Source : Science ouverte COUPERIN
Research data
Now it's your turn!
Test your knowledge of research data.
Start
Research data
1/2
What is the name of the management tool dedicated to research data?
DMP
DOPM
DPM
Research data
Correct
The DMP (or data management plan) explains how the data produced or collected during the research project or thesis will be managed from start to finish and beyond.
Continue
Research data
2/2
What principles should research data adhere to, principles summarised under the acronym FAIR?
Drag the correct answers to the right-hand column
Repairable
Institutional
Accessible
Reliable
Interoperable
Informal
Findable
Rare
Agreeable
Automatic
Reusable
International
Fundamental
ressources
solution
Research data
Some resources to consult
FINISH
Open Science awareness
Training course
VI. Citizen and participatory sciences
IV. Research data
II. Introduction
VIII. Conclusion
I. Preamble
V. Support for bibliodiversity
VII. Peer review
III. Disseminating publications
continue
Research data
False !
Try again!
New try
The European Commission's report Cost of not having FAIR research data, published in 2019, estimates that the cost of poor research data management amounts to €3 billion for France, due to wasted time, suboptimal storage costs, licensing fees, research duplication issues, and lack of cross-fertilization. To read the report: Cost of not having FAIR research data
The issue of data is a strategic one, which was the subject of a report commissioned by the Prime Minister from MP Éric Bothorel, entitled “Pour une politique publique de la donnée” (Towards a public policy on data), published in December 2020. It strongly highlights the challenges surrounding scientific data as a vehicle for knowledge.For more information: "Rapport Bothorel : pour une nouvelle ère de la politique publique de la donnée".
Data management and the research data lifecycle
This video (5'09) helps you understand how good data management is useful for you and the scientific community. You'll discover what questions to ask yourself to best organize research data throughout its lifecycle and the benefits of such management, particularly in terms of data sharing and reuse. These challenges are illustrated by the testimony of Egon Heuson, research fellow at Centrale Lille.
To view it: https://www.canal-u.tv/chaines/ouvrirlascience/la-gestion-des-donnees-et-le-cycle-de-vie-des-donnees-de-la-recherche
INRAE has developed a “Data for Science” plan (2022-2024) to improve the use and sharing of scientific data through digital development. This plan involves a systemic transformation of practices and mobilizes the entire Institute to promote more open, interdisciplinary, and predictive science. For more information: “Leveraging and sharing scientific data, the driving force behind research,” an interview with two key players in this evolution, Michaël Chelle, Digital Project Manager reporting to Carole Caranta (Deputy Director General, Science and Innovation), and Hadi Quesneville, Data, Algorithms, and Code Administrator.
Here are the correct answers
FAIR
Findable
Accessible
Interoperable
Reusable
(Facile à trouver, Accessible, Interopérable, Réutilisable)
For more information, visit the dedicated CCSD page.
In just a few minutes, the project manager of the open science unit of the SCD of Aix-Marseille will show you how to create your data management plan.
Datasets
A dataset is a set of data that has intellectual coherence, whether in intention or in form. Collected and/or produced, the data that compose it can be of different natures (texts, figures, still or animated images, sounds, etc.). For example, a photograph of a field, an analysis of its soil and a hygrometric reading of this field can constitute an intellectually coherent dataset, even if it is composed of heterogeneous objects.
Source : GTSO Données de Couperin
Research data management at amU
Page dedicated to CEDRE, a cross-disciplinary service and research organisation.
Page dedicated to research data by the Open Science Unit of the Joint Documentation Service (university libraries).
Open Science page of the practical guide for research units at Aix-Marseille University.
Key points to remember about the Digital Republic Act
Promoting the circulation of data and knowledge (Title I) (Source : Pour une république numérique ?)
Default openness of public data and data of general interest: The law creates an obligation for public bodies to make their databases available online free of charge, subject to anonymisation and protection of industrial and commercial secrecy, so that they can be easily exploited and reused by individuals. Certain private actors (companies holding public contracts, recipients of public subsidies, etc.) will also be required to disclose data of general interest, which may concern the operation of public transport services, real estate transactions, or waste management and recycling. Data from scientific research funded by public authorities will also be freely accessible after a short period of time.
Article L533-4 dans le Chapitre III du Code de la recherche : La valorisation des résultats de la recherche par les établissements et organismes de recherche : I.-When a scientific paper resulting from research activity financed at least half by government grants is published, [...] its author retains, even after granting exclusive rights to a publisher, the right to make available free of charge in an open format, digitally, [...] the final version of their manuscript accepted for publication, provided that the publisher itself makes it available free of charge in digital format or, failing that, upon expiry of a period running from the date of first publication. [...] For more information, see legifrance.
At Aix-Marseille University, the joint documentation service (university libraries) is leading the “research data” project through its open science unit. A steering committee brings together the actors and services that support researchers, such as the research management and promotion department, the information systems department, the Europe unit, etc. Support for researchers and doctoral students involves setting up dedicated communication channels, raising awareness and providing training, and assisting with the drafting of data management plans.If you would like to find out more: “Data management in Aix-Marseille” Le site couperin de la science ouverte en France
If you would like to understand the obligations of funders with regard to research data management and find out whether each funder has requirements for data management plans, storage and sharing of data from the projects it funds, please consult the link below: The requirements of funders, Doranum
EN - 2025-2026 - SO IV. Research data
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Transcript
open science awareness
Research data
One principle: "As open as possible, as closed as necessary."
Online training from the Aix-Marseille University libraries
Source : Ouvrir la science
Research data
2. Examples of data
1. Definition
4. Why manage data?
3. ISSUES
6. FAIR principles
5. The data cycle
7. Data Management Plan
8. Quiz
Contents
9. Resources to consult
Research data
Research data
1. DEfinition :
RESEARCH DATA « Research data are defined as factual records (numbers, texts, images, sounds, etc.) that are used as primary sources for scientific research and are generally recognised by the scientific community as necessary for validating research results. »
Source : Organisation de coopération et de développement économiques - OCDE
Research data
2. Examples of data from the research
Source : Le Réservoar, 2020
Research data
3. Issues
Opening up your datasets allows you to:
increase the visibility of your work
to be quoted more often
to fulfil an obligation under the ‘Digital Republic Act’
to foster new collaborations
to promote transparency and ethics in research, to guarantee the integrity of research, to protect you from scientific fraud
Source : Ouvrir la science
Research data
4. Why manage your research data?
If data is not managed properly, researchers encounter numerous difficulties:
Loss of data when a researcher leaves the laboratory.
Inability to reproduce the results of scientific research because the data and code are not accessible or are poorly documented and not reusable.
Scattered, volatile storage practices with no guarantee of durability (hard drive, USB stick, cloud, etc.).
No solution for storing and opening data collected during a research project in a sustainable manner.
Source : Recherche Data Gouv
Research data
5. The data cycle
Good data management is useful for yourself and for others. When anticipated and planned from the outset of the research, it makes it easy to find your data and makes it accessible and reusable by others. At the end of a research project, it facilitates the archiving and dissemination of datasets.
Collection
Access provision
Description
Archiving
Storage
Source : Passeport pour la science ouverte
Processing and analysis
This diagram is taken from the first edition of “Passeport pour la science” (Passport to Science), published in July 2020.
Research data
6. The FAIR Principles
“Set of guiding principles for managing research data.”
Facile à trouver
Requires description and indexing of data and metadata
Findable
Accessible
Facilitate their access and/or download by specifying the conditions of access
Accessible
Downloadable, usable, understandable, and combinable with other data, by humans and machines
Interopérable
Interoperable
Highlights the characteristics that make data reusable for future research or other purposes
Réutilisable
Reusable
+ info
Source : Ouvrir la science : principes FAIR
Research data
7. A TOOL: The data management plan
Example of a PGD or DMP
It is a summary document that helps to organize and anticipate all stages of the data lifecycle. It explains for each dataset how the data for a project will be managed, from its creation or collection to its sharing and archiving.
Financial aspect
The DMP (Data Management Plan) or PGD (Plan de gestion des données) is evolving and may be a deliverable required by certain funders such as the ANR or the European Commission.
From the outset of your thesis, invaluable assistance
further information
Source : Science ouverte COUPERIN
Research data
Now it's your turn!
Test your knowledge of research data.
Start
Research data
1/2
What is the name of the management tool dedicated to research data?
DMP
DOPM
DPM
Research data
Correct
The DMP (or data management plan) explains how the data produced or collected during the research project or thesis will be managed from start to finish and beyond.
Continue
Research data
2/2
What principles should research data adhere to, principles summarised under the acronym FAIR?
Drag the correct answers to the right-hand column
Repairable
Institutional
Accessible
Reliable
Interoperable
Informal
Findable
Rare
Agreeable
Automatic
Reusable
International
Fundamental
ressources
solution
Research data
Some resources to consult
FINISH
Open Science awareness
Training course
VI. Citizen and participatory sciences
IV. Research data
II. Introduction
VIII. Conclusion
I. Preamble
V. Support for bibliodiversity
VII. Peer review
III. Disseminating publications
continue
Research data
False !
Try again!
New try
The European Commission's report Cost of not having FAIR research data, published in 2019, estimates that the cost of poor research data management amounts to €3 billion for France, due to wasted time, suboptimal storage costs, licensing fees, research duplication issues, and lack of cross-fertilization. To read the report: Cost of not having FAIR research data
The issue of data is a strategic one, which was the subject of a report commissioned by the Prime Minister from MP Éric Bothorel, entitled “Pour une politique publique de la donnée” (Towards a public policy on data), published in December 2020. It strongly highlights the challenges surrounding scientific data as a vehicle for knowledge.For more information: "Rapport Bothorel : pour une nouvelle ère de la politique publique de la donnée".
Data management and the research data lifecycle
This video (5'09) helps you understand how good data management is useful for you and the scientific community. You'll discover what questions to ask yourself to best organize research data throughout its lifecycle and the benefits of such management, particularly in terms of data sharing and reuse. These challenges are illustrated by the testimony of Egon Heuson, research fellow at Centrale Lille.
To view it: https://www.canal-u.tv/chaines/ouvrirlascience/la-gestion-des-donnees-et-le-cycle-de-vie-des-donnees-de-la-recherche
INRAE has developed a “Data for Science” plan (2022-2024) to improve the use and sharing of scientific data through digital development. This plan involves a systemic transformation of practices and mobilizes the entire Institute to promote more open, interdisciplinary, and predictive science. For more information: “Leveraging and sharing scientific data, the driving force behind research,” an interview with two key players in this evolution, Michaël Chelle, Digital Project Manager reporting to Carole Caranta (Deputy Director General, Science and Innovation), and Hadi Quesneville, Data, Algorithms, and Code Administrator.
Here are the correct answers
FAIR
Findable
Accessible
Interoperable
Reusable
(Facile à trouver, Accessible, Interopérable, Réutilisable)
For more information, visit the dedicated CCSD page.
In just a few minutes, the project manager of the open science unit of the SCD of Aix-Marseille will show you how to create your data management plan.
Datasets
A dataset is a set of data that has intellectual coherence, whether in intention or in form. Collected and/or produced, the data that compose it can be of different natures (texts, figures, still or animated images, sounds, etc.). For example, a photograph of a field, an analysis of its soil and a hygrometric reading of this field can constitute an intellectually coherent dataset, even if it is composed of heterogeneous objects.
Source : GTSO Données de Couperin
Research data management at amU
Page dedicated to CEDRE, a cross-disciplinary service and research organisation.
Page dedicated to research data by the Open Science Unit of the Joint Documentation Service (university libraries).
Open Science page of the practical guide for research units at Aix-Marseille University.
Key points to remember about the Digital Republic Act
Promoting the circulation of data and knowledge (Title I) (Source : Pour une république numérique ?)
Default openness of public data and data of general interest: The law creates an obligation for public bodies to make their databases available online free of charge, subject to anonymisation and protection of industrial and commercial secrecy, so that they can be easily exploited and reused by individuals. Certain private actors (companies holding public contracts, recipients of public subsidies, etc.) will also be required to disclose data of general interest, which may concern the operation of public transport services, real estate transactions, or waste management and recycling. Data from scientific research funded by public authorities will also be freely accessible after a short period of time.
Article L533-4 dans le Chapitre III du Code de la recherche : La valorisation des résultats de la recherche par les établissements et organismes de recherche : I.-When a scientific paper resulting from research activity financed at least half by government grants is published, [...] its author retains, even after granting exclusive rights to a publisher, the right to make available free of charge in an open format, digitally, [...] the final version of their manuscript accepted for publication, provided that the publisher itself makes it available free of charge in digital format or, failing that, upon expiry of a period running from the date of first publication. [...] For more information, see legifrance.
At Aix-Marseille University, the joint documentation service (university libraries) is leading the “research data” project through its open science unit. A steering committee brings together the actors and services that support researchers, such as the research management and promotion department, the information systems department, the Europe unit, etc. Support for researchers and doctoral students involves setting up dedicated communication channels, raising awareness and providing training, and assisting with the drafting of data management plans.If you would like to find out more: “Data management in Aix-Marseille” Le site couperin de la science ouverte en France
If you would like to understand the obligations of funders with regard to research data management and find out whether each funder has requirements for data management plans, storage and sharing of data from the projects it funds, please consult the link below: The requirements of funders, Doranum