Welcome to the "FAIR Data and Software" Workshop

July 9-13, 2018 in Hannover


This workshop aims to train junior scientists in implementing the FAIR principles for research data & software management & development. We want to help you identify similarities and differences between these two scientific objects and apply respectively appropriate good practices in preparing, publishing and archiving your work. 

We will focus on one principle per day, introducing its reasoning, benefits, and (differing and/or shared) implications for research data/software management/development together with the learners. We'll follow-up the theory-leaning introductions in the mornings with discussions and live-coding sessions, using (Software & Data) Carpentry materials to illustrate and practice a principle's implementation in the STEM disciplines ("MINT-Fächer"). Regardless of discipline, learners are encouraged to bring questions about their own data and source code, we can answer those during the week.

It is a new, experimental workshop format that contextualises the highly practical lesson material from the Software and Data Carpentries with the FAIR principles.

For whom?

Junior scientists who wish to excel at implementing the FAIR principles for research data and scientific software. You need to have some previous knowledge of the tools that will be presented at the workshop.


Participation is free of charge. However, participants need to organise and pay for travel and accommodation themselves. This workshop is part of an ideas competition supported by the Jülich Research Centre, and part of a grant by the German Federal Ministry of Education and Research (BMBF).  


Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed. Please note: This workshop focuses on the application of the FAIR Principles on scientific data and software. Because it covers a variety of examples, it does require a basic knowledge of the tools listed in the schedule. If you are interested in learning these basics, please consider applying for one of the "non-experimental" Software and Data Carpentry workshops, or work through their material in a self-paced manner.


We try to make this workshop as accessible to everybody as possible. If we can help make learning easier for you in any way please get in touch and we will attempt to provide. We will prepare the venue to be wheelchair-accessible upon request.


We will record some or all of the lectures during this workshop and publish them on the TIB AV-Portal. Discussion sessions will not be recorded.