Scope: Good for anyone who wants to know more about FAIR and how to work with it in practice.

Level: Presupposes knowledge of FAIR. A more thorough review of the FAIR principles, etc.

https://howtofair.dk

Scope: Introduction to FAIR, including FAIRy tale talk, myths about FAIR, illustration of the life cycle, relevant links, cases, etc.

Level: For beginners.

https://www.deic.dk/en/data-management/instructions-and-guides/FAIR-for-Beginners

Scope: An interactive page you can click through as a brief and concrete introduction to FAIR and the concept of “open” data.

Level: For everyone.

https://www.fosteropenscience.eu/node/2820

Scope: GO FAIR is a bottom-up, stakeholder-driven, and self- managed initiative that aims to implement the FAIR data Principles; Here, the focus is on explaining FAIR and how to.

Level: For everyone. https://www.go-fair.org/fair-principles/

Scope: Elementary intro to RDM, what it is and what it can be used for. Level: Beginners.

https://datasupport.researchdata.nl/en/start-the-course

This session will teach you what relational databases are, how to load data into them, and how you request to extract precisely the information you need.

https://datacarpentry.org/sql-ecology-lesson/

Scope: A fun introduction to the FAIR-principles

Level: For everyone

https://zenodo.org/record/2248200#.ZCGgG3ZByUk

Scope: ICPSR has made an overview of relevant topics to be described in a Data Management Plan

Level: For everyone

https://www.icpsr.umich.edu/files/datamanagement/DataManagementPlans-All.pdf

Scope: Basic introduction to FAIR. Level: For beginners.

https://au-research.github.io/FAIR-data-101-training/

Scope: E-learning course on the importance of good research data management.

Level: For beginners.
The target group for the course is PhD students, researchers, and research support staff who would like an introduction to the general concepts and terms used in research data management.

https://www.deic.dk/da/RDMElearn

Scope: GO FAIR office in Austria has made a general introduction to various elements of Data Management.

Level: For everyone.

https://fair-office.at/lernen-sie-mehr/?lang=en

Scope: This is an introductory-level course aimed at professionals working in research data support roles. The course consists of five modules that you have to go through yourself.

Level: For specialists.

https://moodle.learn.eosc-synergy.eu/course/view.php?id=132

Scope: Introduction to Data Management related topics. Level: For beginners.

https://libguides.cam.ac.uk/research-skills/home

Scope: Tool for making Data management Plans. In here you find the AAU generic DMP-template and other relevant templates for DMP's. In each of the templates, you can find AAU instructions on how and what to write in the DMP. 

Level: For everyone

https://dmponline.deic.dk/

Scope: This is a registry of research data repositories – you browse and find the right repository for your data.

Level: for everyone   

https://www.re3data.org/

Scope: It is a catalog of data from the public sector in Denmark. Here you can find descriptions and links to data from a range of different public authorities and public data exhibitors.

Datavejviser was launched in 2022 and is gradually under construction. In the long run, the aim is to be a comprehensive catalog for all relevant and available data from the academic world. If you are data developers that have relevant data to share with the surroundings or data users, who wish that certain types of data are easier available, we ask you to reach out and come have a dialogue with us.  

Datavejviser is driven by Digitaliseringsstyrelsen.

Level: For everyone

https://www.datavejviser.dk/

Scope: You can search between different metadata standards within different subject areas. You can search and find different repositories and various policies regarding data preservation, handling, and sharing from other international organizations.

Level: For advanced students.

https://fairsharing.org

Scope: Guidelines for how research data is handled at AAU. Level: For everyone.

https://www.haandbog.aau.dk/dokument/?contentId=402570

Scope: The code should help ensure credibility, integrity, and thus quality in Danish research through common principles and standards for good scientific practice.

Level: For everyone.

https://ufm.dk/en/publications/2014/the-danish-code-of-conduct-for-research-integrity