• Online

Helena Schnitzer, Daniel Wibberg (CAU), Sophie Boße, Elena Rey Mazón, Wahib Sahwan (FAIRAgro)

November 21st, 2023  9.00 a.m. to 1.00 p.m.


Have you ever wondered what research data management really is? Why is it so important? What is special about handling agricultural data? Then de.NBI and FAIRagro have created the perfect training for you!

More and more funders require the establishment of research data management plans to distribute their grants. Over the course of just four hours, you get the chance to learn about how to transfer research project proposals into proper Data Management Plans (DMPs). Data management experts will guide you through the basics of research data management, the dos and don’ts and how to improve the management of the data produced in agrosystem research projects. After a short introduction to the research data life cycle and the FAIR data principles, we will explore in multiple hands-on sessions what a data management plan (DMP) is. Therefore we will take a special look at agricultural data such as soil data, geospatial data, genetic data, phenotypic data, sensor data, and general field data. We will sink our teeth into components, language, software and examples of DMPs. In light of the FAIR principles, we will evaluate possible problems and solutions and self-assess a drafted DMP for our own projects.

This workshop ios for everyone who is working with data from the agrosystem science and is interested in gaining skills in research data management and writing a data management plan.

Learning goals:
- Know the research life cycle
- Know the FAIR principles and understand their importance
- Know the expectations for a DMP
- Be able to sketch a DMP

A computer with internet connection, a webcam, a microphone and a Browser.
No additional prerequisites required.

Research data management, planning, Data Management Plan, FAIR, agricultural data

RDMkit, DSW,

Daniel Wibberg, This email address is being protected from spambots. You need JavaScript enabled to view it.

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