Manuela

Would you like to publish your self-developed code (in Python, R, etc.) in parallel to your research results, but as an independent citable source? Then you’ve come to the right place – we can help you through the labyrinth of existing methods, standards and recommendations. Here you will find a current roadmap to publish code…

What data types exist in agrosystem science? What do I have to consider when collecting and publishing data – including the legal perspective? Here we give a short overview of relevant data types and their peculiarities regarding research data management. With hints to our expertises in the DSSC and further ressources.

Are you looking for a suitable repository to publish your research data – or do you need well-described data for subsequent use? We help you through the jungle of existing infrastructure. Here you can find a current list of repo recommendations from our helpdesk.

Are you looking for ways to learn about handling research data? Do you need teaching materials that you can use to create your own training courses? – We have compiled a collection of (mostly) open educational resources on research data management in agricultural sciences and related domains for you!