DMP template for RI users
Data management plan template for RI users preparing computational, experimental or mixed materials science datasets for controlled storage, documentation, publication and reuse.
Resource type: DMP template
Hosted / supported by: FAIR Data Competence Center for Digital Materials Research
Purpose
This template supports RI users in preparing a basic data management plan for computational, experimental or mixed materials science datasets. It helps define how research data will be collected, documented, stored, shared, cited and preserved.
What it contains
The template includes sections for dataset description, responsible persons, data types, expected outputs, storage location, documentation needs, metadata requirements, access conditions, licence, repository deposit, DOI assignment, long-term preservation and reuse conditions.
How it is used
Researchers, data stewards, facility staff and service providers use this template at the beginning of a research task, pilot chain or service request. It helps clarify what data will be produced, who is responsible for documentation and which steps are needed before publication or reuse.
Recommended use
Use this DMP template when planning a new RI service request, pilot use case, computational workflow, experimental measurement campaign or combined experimental-computational dataset. The DMP should be updated during the work and checked before repository deposit.
Services using this resource
FAIR packaging of computational materials datasets
This service helps users prepare computational materials datasets for publication, citation and reuse. It focuses on structuring files, documenting workflows, preparing README files, creating metadata records and selecting …
FAIR packaging of experimental materials datasets
This service helps users prepare experimental materials datasets for publication, citation and reuse. It focuses on structuring raw and processed experimental data, documenting methods and instruments, preparing README …
Metadata and DOI support for materials data
Metadata and Digital Object Identifier (DOI) support for materials data is a critical aspect of open science, ensuring that datasets are findable, accessible, interoperable, and reusable (FAIR). DataCite, …
Repository deposit support
This service supports users in preparing and submitting repository-ready datasets for publication, citation and long-term preservation through DataverseUA or another suitable trusted repository.
README and DMP support for RI users
This service helps RI users prepare README files and data management plan documentation for computational, experimental and mixed materials science datasets.
Training on digital materials workflows
This service provides introductory and practical training on digital materials research workflows, including computational modelling, experimental data preparation, FAIR data documentation and the use of RI resources and …
Reproducible computational workflows with Jupyter / AiiDA
This service supports users in understanding and preparing reproducible computational workflows based on Jupyter notebooks, AiiDA workflow management and related computational materials science tools.
Expert consultation for RI users
This service provides expert consultation for RI users preparing computational, experimental or mixed materials science workflows, datasets and documentation for service use, publication or future onboarding.
Support for pilot use case development
This service helps partners and research groups develop pilot use cases that connect research needs, partners, facilities, resources, services and expected FAIR outputs into demonstrable RI pilot chains.
Support for computational workflow planning
This service supports research groups in planning computational materials science workflows, including task definition, software selection, input preparation, output documentation, provenance capture and FAIR data publication planning.
Навчання робочим процесам з цифровими матеріалами
Цей сервіс надає вступне та практичне навчання робочим процесам дослідження цифрових матеріалів, включаючи комп'ютерне моделювання, підготовку експериментальних даних, документування даних FAIR та використання ресурсів і послуг ДІ.
Відтворювані обчислювальні робочі процеси з Jupyter / AiiDA
Цей сервіс допомагає користувачам розуміти та готувати відтворювані обчислювальні робочі процеси на основі блокнотів Jupyter, керування робочими процесами AiiDA та пов'язаних з ними інструментів обчислювального матеріалознавства.
Експертна консультація для користувачів ДІ
Цей сервіс надає експертні консультації користувачам ДІ, які готують обчислювальні, експериментальні або змішані робочі процеси, набори даних та документацію з матеріалознавства для використання в сервісі, публікації або у …