Neuroscientific data - be they experimental or simulated data, models or software - are multimodal, heterogeneous, and organised in many different ways. All these different types of data must be structured, categorised and integratively described, so that they may be found, compared and/or reused by other researchers. The EBRAINS Curation Service supports you in this process. Together, we will take a step closer to the vision of "open data."
At the core, "open data" are shared without any restrictions on reusing those data. This promotes transparency, fosters new collaborations and facilitates scientific progress. Data may still be considered "open" if their reuse is coupled to restrictions that prevent misuse of data, or ensure further distribution of data under "open" conditions.
Preparing data for sharing is often cumbersome and requires good data and metadata management. Good management practices are outlined in the FAIR guiding principles (Wilkinson et al., 2016). The EBRAINS Curation Service strives to meet these principles and supports researchers and scientific publishers in their endeavors to improve the Findability, Accessibility, Interoperability, and Reusability (FAIRness) of data.