During the lifespan of a project, researchers have to deal with data management on a daily basis. Different needs may arise according to the discipline and to the phase of the project, however it is possible to identify some common elements.
Active data management is essential in the daily research work, and discipline specific tools could support it in a digital and highly collaborative environment. Analysis and visualization of data are the core activities: from discovering meaningful information from datasets to present them in a visually interpretable form, it is key for researchers to have appropriate software and computing environment available to perform these tasks.
Along with all that, data documentation and storage on a regular basis are very important to ensure security and reusability of data.