Tidligere kurs - Side 10

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.

Do you want, or need, to learn Python programming for your research, but have no, or little, previous knowledge? Do you want to refresh your basic skills in Python programming? Or, do you want your team members to learn Python? If yes, then this workshop is for you and/or your team!

Learn about different tools, platforms and services to share your research and other contributions, and how you utilise them to make yourself and your work more visible to the academic community and the society at large.

Learn about Open Access and how can you choose the best way to publish your results openly.

Would you like to improve your skills and knowledge in English for academic purposes?

Learn about tools and practices for more reproducible and effective research.

Learn about how to preregister your study on Open Science Framework (OSF) and how to navigate the platform.

Would you like to improve your skills and knowledge in English for academic purposes?

Learn about what preregistration is and how to preregister your own studies.

Learn about what open research is and how to make your own research more transparent and reproducible.

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

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?

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 tools and practices for more reproducible and effective research.

Learn about how to preregister your study on Open Science Framework (OSF) and how to navigate the platform.

Learn about what preregistration is and how to preregister your own studies.

Learn about what open research is and how to make your own research more transparent and reproducible.

Join us for the CodeRefinery workshop September 20-22 and 27-29, at 9:00 am-12:30 pm CET, via Zoom or Twitch!

Dette er et innf?ringskurs for PhD, postdoc, eller forsker ved HF, SV, og UV i metoder for digital analyse av tekstdata.

Learn how to write your research papers in R Markdown to communicate your results in a reproducible way.