Data Management

What is data management and why do you need it in interdisciplinary life sciences?

Data and model management is an integral part of every interdisciplinary project in the life sciences, ensuring meaningful exchange of data and models as well as their longevity after projects conclude. Good data and model management is more than just providing software, it is a methodology of dealing with data. It is about developing and maintaining high quality software, providing training as well as knowledge, expertise and support over the long-term. Learn more about the benefits of data management by watching the video!

 

ERASysAPP Data Sharing Policy

ERASysAPP initiated two joint transnational calls on systems biology research projects with a particular focus on applied aspects of complex biological processes in microorganisms, plants and animals. FAIRDOM supports ERASysAPP projects in the management of research assets. The data sharing policy associated with this work is available here.