Data Management Plan

A tool to plan your own data lifecycle from the beginning

November 2026

Olivier Norvez

Data Facilitator & Data Steward
@DataTerra  
@PNDB  
@Theia  

Data lifecycle

Data lifecycle

The Data Management Plan



  • The Data Management Plan (DMP) is a management tool. It is presented in the form of a structured document into sections (or stapes). Its objective is to summarize the description and evolution of the “objects” (data sets, metadata, source codes, etc.) of your research project that you will generate over time.

  • It prepares the sharing, reuse and sustainability of the data. It is written during at the beginiing of the research project

Adapted from DORANum

The Data Management Plan


  • All projects supported by the ANR (or by the Europe) must have a DMP


  • A first version of the DMP is expected at T0+6 months after the scientific start of the project. This version will be updated mid-term (for projects of more than 30 months) as well as at the end of the project



The Data Management Plan

The content of a DMP must make it possible to provide information of this type

  • High-level information (title of the PGD, date of modification, etc.)
  • Research project description
  • Project funding description
  • DMP contact
  • DMP contributors
  • Data management costs
  • Dataset description
  • Datasets distribution
  • Data & metadata licences
  • Data hosting
  • Data sensibility a& security
  • Technical resources required for data production, storage and management
  • What metadata standard(s) is/are used to describe the data


 Note that the DMP is a living document with different versions evolving over time between the pre-project and the post-project.

General recommendations

  • The definition of licenses (especially data and also source codes), to be carried out as soon as possible (if possible in the first months of the project) because if it takes too long, it will be too late

    • We often see the mention of “creative commons will be used” which in fact does not indicate much. Therefore, it seems essential to me to specify whether CC-BY 4.0 (therefore compatible etalab v2.0 therefore open data) or other CC-BY-XX.. (therefore not open data) and especially not CC0 not authorized for research data

    • When a non-open license is proposed, I ask if it is assumed (already to be well informed of what is considered open and not open)

    • When the choice is assumed ;) I wonder if we can try to highlight the public funding aspects > 50% to try to provide a gentle reminder of the aspect of openness of public data which should normally be the rule

  • Specify the deadlines / embargo periods when mentioning a sharing deadline

  • Specify the proposed/expected storage guarantees (project duration/5/10/>10 years)

General recommendations

Interoperability

  • Specify, if existing information, according to the data, which catalogs and/or warehouses will be precisely used

  • The presentation of links between the “in-house” standards mentioned and international standards


Source codes
  • For the source codes, if known, please list the libraries / packages / dependencies and access / use modes


People
  • Specify the function and structure of each person mentioned (if possible with ORCID)

Minimal information



6 descriptive sections, according to the ANR template

  • Data description and collection, or re-use of existing data
  • Documentation and data quality
  • Storage and backup during the research process
  • Legal and ethical requirements
  • Data sharing and long-term preservation
  • Data management responsibilities and resources

Minimal information

 Data description and collection, or re-use of existing data

From ANR template


  • How will new data be collected or produced and/or how will existing data be re-used?

Methodology, software, data sources, etc.

  • What data will be collected or produced?

Types, formats, volumes, etc.

Minimal information

 Documentation and data quality

From ANR template


  • Process, calibration, standardization, etc.

Minimal information

 Storage and backup during the research process

From ANR template


  • How will data and metadata be stored and backed up during the research?

Automatic backup, external storage, cloud, frequency, etc.

  • How will data security and protection of sensitive data be taken care during the research?

Minimal information

From ANR template


  • If personal data are processed, how will compliance with legislation on personal data and on security be ensured?

GDPR, anonymisation, pseudonymisation, etc.

  • How will other legal issues, such as intellectual property rights and ownership, be managed? What legislation is applicable?

Open data, restriction, data owner(s), etc.

  • What ethical issues and codes of conduct are there, and how will they be taken into account?

CARE principles, ethical council, etc.

Minimal information

 Data sharing and long-term preservation

From ANR template


  • How and when will data be shared?

Data access, restrictions, embargo, archives, etc.

  • How will data for preservation be selected and where data will be preserved long-term?

Repository, metadata standards, data repository or archive, etc.

  • What methods or software tools are needed to access and use data?

  • How will the application of an unique and persistent identifier to each dataset be ensured?

PID, DOI, etc.

Minimal information

 Data management responsibilities and resources

From ANR template


  • Who will be responsible for data management?

DMP responsible, data stewardship, etc.

  • What resources will be dedicated to data management and ensuring that data will be FAIR?

Data curation, data storage, financial and time cost, etc.

DMP OPIDoR

A tool to help create online data management plans (Data Management Plan or DMP) made available to Higher Education and Research. It is hosted and managed by Inist-CNRS. Based on the open source code DMPRoadmap, it has been adapted to the needs of the French scientific community.


Customizable

It participates in the implementation of data policies of institutions or disciplinary communities by adding adapted DMP models and facilitates the harmonization of good community practices


Machine actionable

It facilitates entry and interactions with the services involved in data management


Templates

Search your funding support and/or your insitution templates

Check the existing DMP templates

Table 1: Examples of DMP templates, from DMP OPIDor
Model name Name of the organization Type of organization Download
Science Europe DMP structured template - in French - Europe Funder PDF
Science Europe DMP structured template Europe Funder PDF
ANR - DMP structured common template - in French - ANR - Agence Nationale de la Recherche Funder PDF
ANR - DMP structured common template ANR - Agence Nationale de la Recherche Funder PDF
ANR - DMP unstructured common template - in French - ANR - Agence Nationale de la Recherche Funders PDF
ANR - DMP unstructured common template ANR - Agence Nationale de la Recherche Funders PDF
DMP CNRS - in French - CNRS - Centre National de la Recherche Scientifique Institution PDF
DMP CNRS CNRS Institution PDF
AgroParisTech - DMP template for Entity AgroParisTech Institution PDF
AgroParisTech - DMP template for Entity - in French - AgroParisTech Institution PDF
AgroParisTech - DMP template for Project AgroParisTech Institution PDF
AgroParisTech - DMP template for Project - in French - AgroParisTech Institution PDF
Horizon Europe DMP European Commission Funders PDF
ERC DMP European Research Council, ERC Funders PDF


 Adapted from the DMP OPIDor template sections and adapted

Resources

Resources