Data management
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rdmkit.elixir-europe.org/
Best practices and guidelines to help you make your data FAIR (Findable, Accessible, Interoperable and Reusable)
The Research Data Management toolkit for Life Sciences
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Data management
About
Contribute
GitHub
rdmkit.elixir-europe.org/
Best practices and guidelines to help you make your data FAIR (Findable, Accessible, Interoperable and Reusable)
The Research Data Management toolkit for Life Sciences
F
A
I
R
Carole Goble
Gil Poiares-Oliveira
Diana Pilvar
Bert Droesbeke
Flora D’Anna
Frederik Coppens
Ishwar Chandramouliswaran
Federico Bianchini
Laura Portell Silva
Marina Popleteeva
Join us!
Korbinian Bösl
Nazeefa Fatima
Ulrike Wittig
Munazah Andrabi
Built by
life scientists and data stewards
Current editorial board members
+
15
Total contributors
199
ELIXIR Data Managers Network
Domain experts
Trainers
RDMkit
A sustainable open, ongoing community effort
A simple, sustainable platform
Easy contribution with an editorial process
Contentathons and Focus Groups
RDMkit
End-to-end FAIR Data takes a village*
Policy and infrastructure are not enough.
We need to offer assistance before we make assessments
Supporting the data needs of Europe’s estimated
500,000
life scientists
Support research to know, utilise, enable and demand FAIR RDM services.
Pool the expertise of the community for the community.
Build capacity and skills for researchers, stewards and data providers.
*Borgman, C. L., & Bourne, P. (2022). Why It Takes a Village to Manage and Share Data. Harvard Data Science Review, 4(3). https://doi.org/10.1162/99608f92.42eec111
RDMkit
RDMkit – A toolkit that scales and enables
Supporting the data needs of Europe’s estimated
500,000
life scientists
Support research to know, utilise, enable and demand FAIR RDM services.
Pool the expertise of the community for the community.
Build capacity and skills for researchers, stewards and data providers.
RDMkit
The RDMkit in numbers
200
Contributors
The force behind the RDMkit
600
Tools & Resources
Explained in the context of real-world problems
131
Pages
Helping you with data management
7719
users
52927
views
RDMkit
Ways of contributing
Google Docs
If you are unfamiliar with Git and prefer to use a classic document editor, follow the Google Doc way.
GitHub
If you are unfamiliar with Git but want to try contributing on GitHub with no technical knowledge required, follow our guide.
Git
If you are familiar with Git, fork the repo and create a pull request following our instructions.
Accessible for everyone
RDMkit
How does the process work?
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Submit content
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You may use any of the different ways to contribute.
The GitHub ticket is created.
Editor reviews the submission
Ensures guidelines are followed and assigns a reviewer.
Reviewer process
Your content is published
Your content is reviewed.
If there are any comments, you will be notified.
Your authorship will be credited to the pages you’ve contributed.
RDMkit
Hook up with specialised, complementary resources
For more detailed expert guidance – smart linking
FAIR data stewardship guidance
Detailed recipes for making FAIR data
RDMkit
Data management systems work to be FAIR for users by ELIXIR Nodes
Data repositories and knowledge bases
FAIR selector and FAIR data repo guides
Standards
Expert data FAIRification
FAIR services
Expert Data Stewardship decision making
ELIXIR Resources
Tool assemblies
Repositories
EOSC catalogues
Decision support
Deep recipes
RDMkit
Demo slides
A quick tour�6 different ways to access content
RDMkit
1. Revisiting the data life cycle
Data management
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2. Responsibilities, resources and tools relevant to your role
Data management
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3. Guidelines for common data management problems in the life sciences
Data management
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4. Guidelines for particular life science domains
Data management
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4. Guidelines for particular life science domains
Data management
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5. Real life examples of combining tools for data management – showcase for project solutions
Data management
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Example process diagram
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RDMkit
RDMkit in 1 slide
Two options
An online guide on good data management practices for the entire data life cycle
Scan to visit the RDMkit
RDMkit
An online guide on good data management practices for the entire data life cycle
Scan to visit the RDMkit
RDMkit
RDMkit in 3 slides
FAIR know-how & knowledge sharing
Entry point to FAIR Services Framework
Focus on communities & projects
Data management systems for user projects, supported by ELIXIR Nodes
Data repositories & Knowledges bases
Standards
Registered resources
FAIR services
Expert data stewardship decision-making
Expert data FAIRification
RDMkit
A user-oriented guide to the FAIR RDM practices in life sciences
To support the data needs of Europe’s estimated 500,000 life scientists
Support research to know, utilise, RDM services
Pool the expertise of the community for the community.
Build capacity and skills in every research institute
Increase self-sufficiency
Scan to visit the RDMkit
RDMkit
Developed by a multidisciplinary team of experts
Want to contribute?
Become a contributor via GitHub, Git or a simple Google Doc
Expert network
Domain experts
Trainers
Contact us at rdm-editors@elixir-europe.org
Recommended resource of Horizon Europe
Data management
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Diagram templates
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RDMkit
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