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Research data

Good research data management plays an essential role in Open Science, which is increasingly important for scholars around the globe. The University Library provides courses on key concepts as a part of the Skills Development for Research Data project. We also have courses in Norwegian. 

Would you like us to run a course for you? Send a request to research-data@uio.no.

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Time and place: –, UiO, Blindern, Georg Sverdrups Hus, DSC-Oasen

A hands-on workshop for developing and sharing a Data Management Plan for your research.

Time and place: –, UiO, Blindern, Georg Sverdrups Hus, DSC Oasen

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.  

Time and place: –, UiO, Blindern, Georg Sverdrups Hus, DSC Oasen

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.

Time and place: –, UiO, Blindern, Georg Sverdrups Hus, DSC Oasen

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.  

Time and place: –, UiO, Blindern, Georg Sverdrups Hus, DSC Oasen

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.

Time and place: –, Niels Henrik Abels hus, Realfagsbibliotekets undervisningsrom 209

Zotero is a research assistant tool that helps you not only manage your references, but collect and organize your research material, notes, and annotations. In this workshop, you will learn how to collect, organize, and share your bibliographies and research, including your notes and annotations.  

Time and place: –, University of Oslo, Blindern, Georg Sverdrups Hus, DSC

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.  

Time and place: –, Blindern, Georg Sverdrups Hus, DSC Oasen

Join us for a hands-on workshop on writing a Data Management Plan (DMP) with the web tool FAIR Wizard!

Time and place: –, Blindern, Georg Sverdrups Hus, DSC Oasen

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.

Time and place: –, University of Oslo, Blindern, Georg Sverdrups Hus, DSC Oasen

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.  

Time and place: –, University of Oslo, Blindern, Georg Sverdrups Hus, Læringsoasen

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.

Time and place: –, University of Oslo, Blindern, Georg Sverdrups Hus, DSC

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.  

Time and place: –, University of Oslo, Blindern, Georg Sverdrups Hus, DSC

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.

Time and place: –, University of Oslo, Blindern, Georg Sverdrups Hus, DSC

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.  

Time and place: –, University of Oslo, Blindern, Georg Sverdrups Hus, DSC

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.

Time and place: –, Georg Sverdrups hus: DSC-Oasen

Join our hands-on workshop on archiving in the University of Oslo's general data archive, DataverseNO.

Learn how to effectively archive your research data in an open and accessible manner.

Time and place: –, Georg Sverdrups hus: DSC-Oasen

Join us for a hands-on workshop on writing documentation for your data collection, and learn how to create a structured Readme-file for your research project! 

Time and place: –, Georg Sverdrups hus: DSC-Oasen

Join us for this practical and interactive workshop on writing data management plans (DMPs) and learn how to create a DMP for your research project!

Time and place: –, Zoom

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.

Time and place: –, Zoom

Are you keen on sharing your research data? Or does your publisher or funder require that your dataset is available?

Time and place: –, Zoom

Learn about what copyright is, who owns data, and what types of licenses we can use for research data.

Time and place: –, Zoom

In this course we will introduce you to the UiO Data Classification and Data Storage guides.

Time and place: –, Zoom

Learn about best practices for data organization and documentation.

Time and place: –, Zoom

Get started with data management planning for your research!

Time and place: –, Zoom

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.