Time and place
Upcoming
In this half-day course in research data management, participants will gain insight into planning for data storage, organisation and documentation and working with Data Management Plans.
In this half-day course in research data management, participants will gain insight into the potential in archiving and reusing research data in line with the FAIR (Findable, Accessible Interoperable, Reusable) principles.
A hands-on workshop for developing and sharing a Data Management Plan for your research.
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A hands-on workshop for developing and sharing a Data Management Plan for your research.
In this half-day course in research data management, participants will gain insight into the potential in archiving and reusing research data in line with the FAIR (Findable, Accessible Interoperable, Reusable) principles.
In this half-day course in research data management, participants will gain insight into planning for data storage, organization and documentation and working with Data Management Plans.
In this half-day course in research data management, participants will gain insight into the potential in archiving and reusing research data in line with the FAIR (Findable, Accessible Interoperable, Reusable) principles.
In this half-day course in research data management, participants will gain insight into planning for data storage, organization and documentation and working with Data Management Plans.
In this half-day course in research data management module 2, participants will gain insight into the potential in archiving and reusing research data in line with the FAIR (Findable, Accessible Interoperable, Reusable) principles.
Join us for a hands-on workshop on writing a Data Management Plan (DMP) with the web tool FAIR Wizard!
In this half-day course in research data management module 1, participants will gain insight into planning for data storage, organization and documentation and working with Data Management Plans.
In this half-day course in research data management module 2, participants will gain insight into the potential in archiving and reusing research data in line with the FAIR (Findable, Accessible Interoperable, Reusable) principles.
In this half-day course in research data management module 1, participants will gain insight into planning for data storage, organization and documentation and working with Data Management Plans.
In this half-day course in research data management module 2, participants will gain insight into the potential in archiving and reusing research data in line with the FAIR (Findable, Accessible Interoperable, Reusable) principles.
In this half-day course in research data management module 1, participants will gain insight into planning for data storage, organization and documentation and working with Data Management Plans.
In this half-day course in research data management module 2, participants will gain insight into the potential in archiving and reusing research data in line with the FAIR (Findable, Accessible Interoperable, Reusable) principles.
In this half-day course in research data management module 1, participants will gain insight into planning for data storage, organization and documentation and working with Data Management Plans.
There are lots of data out there to find and reuse. In this course we will introduce you to the concept of data discovery and show you the basics of how to work with secondary data.
Are you keen on sharing your research data? Or does your publisher or funder require that your dataset is available?
Learn about what copyright is, who owns data, and what types of licenses we can use for research data.
In this course we will introduce you to the UiO Data Classification and Data Storage guides.
Learn about best practices for data organization and documentation.
Get started with data management planning for your research!
There are lots of data out there to find and reuse. In this course we will introduce you to the concept of data discovery and show you the basics of how to work with secondary data.
Are you keen on sharing your research data? Or does your publisher or funder require that your dataset is available?