Data stewardship e-learning

Background and rationale
Data stewardship involves activities to ensure that digital research data are findable, accessible, interoperable, and reusable (FAIR) in the long term. Data stewardship includes data creation, archiving and reuse by third parties. For good data stewardship, you need responsible planning and executing of all actions on digital data before, during and after a research project, with the aim of optimizing the usability, reusability and reproducibility of the resulting data. Science funders, publishers and governmental agencies are requiring data management plans and FAIR data in publicly funded studies. Also, a data management plan (DMP) is required for all studies in LUMC.

Learning Objectives
At the end of the e-learning Data Stewardship participants will be able to:

• Identify the phases in the data life cycle and the corresponding data stewardship activities.
• Recognize the commonly used terms in data stewardship
• Find support and information on data stewardship within and outside the LUMC.
• Explain why data stewardship and FAIR data are important.
• Apply data stewardship to their own situation for every stage of the data life cycle, such as using suitable storage options, documenting their own research data, security and privacy protection, sharing and reusing data.
• Identify which steps they need to take to make their own research more FAIR.

Program
This course includes a 3–4 hour e-learning module with interactive elements. You can pause the e-learning at any time and resume later.

Data stewardship e-learning
The goal of this e-learning is to provide foundational knowledge on data stewardship, covering all phases of the data life cycle and the requirements for creating FAIR research data. This ensures research can be replicated and data can be reused. You need this knowledge before you can write a DMP.
Subjects that will be addressed include:

• What is data stewardship and the data life cycle and why are they important?
• What are the FAIR principles and how can you apply them to your research?
• Which activities do you need to execute for proper data stewardship?
• Which steps can you take towards FAIRer data?

Related training
Complement your knowledge in data stewardship and data management with the following practical modules:

• Writing a Data Management Plan: improve your skills in writing data management plans
• Getting started with DMPonline: all the information you need to start writing your DMP in DMPonline
• Van data-export naar analyse: hoe bereid je een goed databestand voor
• Castor workshop: build your own database

Supporting materials

LUMC Resources
. SOP Data Life Cycle
· Advanced Data Management
· Data Stewardship
· Courses for researchers on topics such as bioinformatics, data management and Good Research Practice.

Background information
· FAIR Principles
· The FAIR Guiding Principles for scientific data management and stewardship

Target audience
This course is intended for all persons in the LUMC working with research data and interested in data management, data stewardship and writing data management plans, either as a researcher or in a supporting role.

Duration
This course includes a 3–4 hour e-learning module with interactive elements. You can pause the e-learning at any time and resume later.

Language
The course is given in English.

Certificate
After completing the course, your certificate will appear under 'Achieved Certificates'.

Costs
There are no costs associated with this training.

License
Material licensed under CC BY 4.0 International.

Contact
Advanced Data Management, adm@lumc.nl or via TOPdesk: admc.lumc.nl