Tidligere kurs - Side 8

I akademisk skriving er det viktig ? vite hvordan man viser til kildene man har benyttet. I dette kurset l?rer du grunnlegende referanseteknikk. Vi ser blant annet p? hvordan man gjengir sitater, skriver kildehenvisninger og referanseliste, og benytter bilder i en tekst.

Get a fundamental understanding of how to use Python programming and an introduction to simpler tools such as Voyant and DH-Lab apps to text mine corpora. 

EndNote is a reference management software package, used to manage bibliographies and references when writing essays, reports and articles.

NVivo is a powerful tool for organizing and structuring your material for qualitative analysis. Learn how to code and retrieve in NVivo and get an introduction to useful NVivo functionalities.

Open research is the new normal, but how to navigate this landscape? This course will help you map out some key concepts by giving you an introduction to UiO policies, infrastructure, and support for open research.

Learn about what Data Management Plans (DMPs) are and how to write one!

Zotero is a smart reference and research tool suitable for collaboration. In this workshop, you will learn how to collect, organize, and share your bibliographies, cite as you write, and mark up and annotate your research material. 

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.

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! 

This course is designed for PhD Candidates and others who need a deeper knowledge, and advanced skills in literature searching within medicine and health sciences. It focuses on useful tools for building search strategies and advanced search techniques. Several relevant databases are highlighted.

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!

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.

Software Carpentry offers workshops for fundamental coding and data skills needed to conduct research.

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

Join us in this online workshop to explore Omeka S, a modern web publishing platform designed to assist in sharing digital cultural collections with a global audience. Our goal is to provide you with the skills needed to utilize Omeka S for creating, organizing, and presenting your digital resources.

NVivo is a complex software for qualitative research that can be used to code text, sound, image, and video. Learn how to code and retrieve, and visualize coded material. 

NVivo er en kompleks programvare for kvalitativ forskning som blant annet kan brukes til ? kode tekst, lyd, bilde og video. L?r ? kode og hente ut, og visualisere kodet materiale.

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 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.

This is a medium-advanced course in Python tools such as NumPy, SciPy, Matplotlib, and Pandas. It is suitable for people who know basic Python and want to know some internals and important libraries for science - basically, how a typical scientist actually uses Python. Read the learner personas to see if the course is right for you. Prerequisites include basic programming in Python.

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.

Get started with data management planning for your research!