Data Management Plan : reminder of the context and the issues
Process
Resources
Heterogeneity (data types, origin, standards) &
Diversity of “objects” to be linked together1
Loss of information over time2
Computational reproducibility frequently refers to the ability to generate equivalent analytical outcomes from the same data set using the same code and software1.
[…] all raw data and metadata, code, programming scripts, and bespoke software necessary for fully replicating any analyses that lead to inferences made in a published study2.
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
From DORANum and adapted
all projects supported by the ANR (or by the EU, …) must have a PGD.
A first version of the PGD 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 DMP OPIDor tool is aligned with the ANR
The content of a PGD must make it possible to provide information of this type :
High-level information (title of the PGD, date of modification, etc.) => Note that the PGD is a living document with different versions evolving over time between the pre-project and post-project.
Research priject description
Project funding description
DMP contact
DMP contributors
Data management costs
Datasets 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
General recommendations :
INTEROPERABILITY
SOURCES CODES
PEOPLE
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
Data description and collection, or re-use of existing data
How will new data be collected or produced and/or how will existing data be re-used? (methodology, software, data sources …)
What data (for example the kind, formats, and volumes), will be collected or produced? (databases, spreadsheet, textual, images, sounds, …)
From ANR template
Data description and collection, or re-use of existing data
Documentation and data quality (process, calibration, standardization, …)
From ANR template
Data description and collection, or re-use of existing data
Documentation and data quality (process, calibration, standardization, …)
Storage and backup during the research process
How will data and metadata be stored and backed up during the research? (automatic backup, external storage, cloud, frequency, …)
How will data security and protection of sensitive data be taken care during the research
From ANR template
Data description and collection, or re-use of existing data
Documentation and data quality (process, calibration, standardization, …)
Storage and backup during the research process
Legal and ethical requirements
If personal data are processed, how will compliance with legislation on personal data and on security be ensured? (RGPD / GDPR, anonymisation, pseudonymisation, …)
How will other legal issues, such as intellectual property rights and ownership, be managed? What legislation is applicable? (Open Data, restriction, data owner(s), …)
What ethical issues and codes of conduct are there, and how will they be taken into account? (CARE principles, ethical council, …)
From ANR template
Data description and collection, or re-use of existing data
Documentation and data quality (process, calibration, standardization, …)
Storage and backup during the research process
Legal and ethical requirements
Data sharing and long-term preservation
How and when will data be shared? (data access, restrictions, embargo, archives, …)
How will data for preservation be selected, and where data will be preserved long-term? (repository, metadata standards, data repository or archive …)
What methods or software tools are needed to access and use data? (request handle, …)
How will the application of a unique and persistent identifier (such as a Digital Object Identifier (DOI)) to each dataset be ensured? (PID, …)
From ANR template
Data description and collection, or re-use of existing data
Documentation and data quality (process, calibration, standardization, …)
Storage and backup during the research process
Legal and ethical requirements
Data sharing and long-term preservation
Data management responsibilities and resources
Who (for example role, position, and institution) will be responsible for data management? (DMP responsible, data stewardship, …)
What resources will be dedicated to data management and ensuring that data will be FAIR? (data curation, data storage, financial and time cost, …)
From ANR template
DMP OPIDoR is 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. => soon : an ecoinformatic dmp template ! ;)
Machine actionable it facilitates entry and interactions with the services involved in data management.
Templates search your funding support and/or your insitution templates
From OPIDor
Before writing your DMP, check the existing DMP templates !
Model name | Name of the organization | Type of organization | Download | ||
---|---|---|---|---|---|
Science Europe machine actionnable DMP | Europe | Funders | |||
ANR - DMP template | Agence Nationale de la Recherche | Funders | Word PDF | ||
AgroParisTech - DMP template for Project | AgroParisTech - Institut des sciences et industries du vivant et de l’environnement | Institution | Word PDF | ||
CIRAD-TEMPLATE-ENG | CIRAD | Institution | Word PDF | ||
Horizon 2020 FAIR DMP | European Commission | Funders | Word PDF | ||
ERC DMP | European Research Council, ERC | Funders | Word PDF | ||
INRAE - Project template | INRAE - Institut national de recherche pour l’agriculture l’alimentation et l’environnement | Institution | Word PDF | ||
Sorbonne Université - Modèle Plateforme (in French) | Sorbonne Université | Institution | Word PDF | ||
University of Montpellier - DMP template (english) 2 | Université de Montpellier | Institution | Word PDF |
From the DMP OPIDor template sections and adapted
DoRaNUM Discover the DMP - in french -
OPIDor Discover the DMP - in french - and the DMP OPIDor tool
ANR FAQ PGD - in french - and a template
PNDB (collect data - in french -)