Tidligere kurs - Side 13
Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain-specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research.
This workshop introduces you to GitHub, a widely used platform for developing, managing and storing code and documentation. Today, GitHub is home to a growing number of research projects. Researchers and developers collaborate across institutional and national borders and share their code and software for data analysis alongside documentation, notes, and project reports.
This course gives an introduction to the reference tool EndNote.
Place: L?ringsoasen in Georg Sverdrups Hus, Blindern
Is it difficult to set aside time to write proper Data Management Plan for your data collection? We offer a structured information and writing session for you!
Is it difficult to set aside time to write proper documentation for your data collection? We offer a structured information and writing session for you!
There are lots of data out there to discover and reuse. In this course we will introduce you to the concept of data discovery and show you the basics on 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?
Is it difficult to set aside time to write proper Data Management Plan for your research project? We offer a structured information and writing session for you!
Is it difficult to set aside time to write proper documentation for your data collection? We offer a structured information and writing session for you!
This online workshop over 4 half days (25 - 28 Oct, 9am-12pm) will be streamed on Twitch and is open for all, so no registration is needed.
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!
What is research data management and why is it increasingly important?
Learn about what preregistration is and how to preregister your own studies.
Do you work with datasets on a regular basis and want to learn how to work with them in R? Do you want to make nice publication ready plots? Do you know base R already, but want to learn about what this Tidyverse thing is? Or, perhaps you want your team members to learn both R and Tidyverse? Then this workshop is for you and/or your team!
There are lots of data out there to discover and reuse. In this course we will introduce you to the concept of data discovery and show you the basics on 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 the key concepts of privacy and data protection in research.
In this course we will introduce you to the UiO Data Classification and Data Storage guides.
Join us at our CodeRefinery workshop May 10-12 and 18-20, 9:00-12:30 CEST, via Zoom or Twitch!
Learn about best practices for data organization and documentation.
Get started with data management planning for your research!
What is research data management and why is it increasingly important?
Bring your code and start writing tests with the help of a mentor!
This online event is a combination of workshop (17th Mar) and hackathon (24th Mar) for you who are already working on scientific programming but not yet extensively testing your codes or scripts. Participation by a team is recommended.