The goal of the University of Bergen is that data resulting from research activity should be made readily available for reuse in accordance with FAIR-principles. UiB Library Research Support offers following courses to help meet these requirements:
Data management Plan
The Norwegian Research Council and Horizon 2020 require projects to submit a data management plan (DMP). A data management plan describes how data in a research project will be collected, processed and made available.
The courses «Introduction to DMP” and “DMP workshop” give you a short introduction to what a data management plan is, why you need it, and how to write one.
In the workshops you will have the opportunity to work on your own DMP using a digital DMP tool, and then share your DMP with other participants and get feedback from peers and experts on your own DMP.
- September 17th at 10:00-14:00 (introduction to DMP + workshop). Read more. Sign up here.
- October 15th at 10:00-10:45 (introduction to DMP, in Norwegian). Sign up here.
- November 12th at 10:00-14:00 (introduction to DMP + workshop). Read more. Sign up here.
How can you make your research data open and FAIR?
Researchers are encouraged to make their data openly available as early as possible in the research process, and most funders, e.g. Norwegian Research Council or Horizon Europe, and publishers require that the research data from a project is made openly available. But how can you do this in practice, and where?
In the course you will get a short introduction to how you can make your research data open and FAIR, and how to archive your data in our institutional archive UiB Open Research Data.
Finding & reusing research data
Sharing and re-using quality-assured research data is considered good scientific practice. Re-using existing datasets as secondary data avoids unnecessary duplication of efforts and can inspire new avenues of research.
For example, new questions or methods can be applied to a dataset, or data from different studies or disciplines can be integrated. In this course you will learn how you can use existing datasets as a resource for your research. The course consists of three short modules, and you can participate in either or all of the modules.
Want to know more about Open Data and Data management? See our webpages:
Software Carpentry course in research computing skills: Shell, Python, Git
Reproducible research benefits strongly from learning some research computing skills. Are you tired of manually moving files? Would you like to be able to efficiently analyze data and create fancy plots? Would you like to learn programming, but you do not know where to start? Would you like your data analysis to be more reproducible? This is the course for you!
The Software Carpentry course in research computing skills will provide researchers with computational tools to address their research questions in new or more efficient and reproducible ways. The course is aimed at novices and no previous programming knowledge is required.
- September 20th-24th, 9:00-13:00. Read more & sign up.