Seminars – Making data “FAIR” (Findable, Accessible, Interoperable, Reusable): motivation, current implementation and future challenges

EVENT : C3BI Seminars

Making data “FAIR” (Findable, Accessible, Interoperable, Reusable): motivation, current implementation and future challenges


Main speaker : Jean-Baptiste Poline, from Helen Wills Neuroscience Institute UC Berkeley – NeuroSpin Centre CEA Saclay, Gif sur Yvette Date : 16/11/2016 at 02:00 pm Location : Retrovirus room – LWOFF (22) ,Institut Pasteur, Paris


While re-using data from the wider community to validate specific hypotheses or to explore new questions is becoming increasing common, it is still more often than not challenging to efficiently find and access relevant data, and have these sufficiently documented to be safely re-used and integrated. While some journals have started publishing data (i.e their description and scope of use) discoverability, the question of the data publishing incentive and of sustainability are pressing. In this talk, I will review the data sharing and publishing issues in the context of scientific reproducibility and will take the example of neuroscience to demonstrate how data can be made “FAIR”. I will point to current solutions for researchers to link their data with the scientific community and will discuss the remaining technical but also cultural challenges.


Due to security policy in Institut Pasteur, please register before if you plan to come to this meeting