Updated Data Management Plan

The data governance approaches should cover the following topics: - Define data management strategies. Historical maintenance, data formats, meta-data, etc. For instance the issue of the management of the historical data (what to keep, for how long, with which level of accessibility) is an issue that is a common ground of discussion between the service providers; - Data access procedures: import data, point to original data sources, caching levels, etc. It includes EO data and environmental data retrieval for the entire project. The data will be adapted and pre-processed when needed to feed the service operation with needed inputs; - Big data issue approaches: how to manage the large data sets that will be available daily; - Data integration and fusion: merge of different data sources, build best available data sets, fuse different data sources to produce derived data sets, etc.; - Data privacy policy: methods to ensure the rules established by the data owners are effectively observed); - Data quality control (dealing with different data providers the question of the data quality control for instance is quite relevant once the users will be expecting that the data provided by the service is reliable). There will be two deliverables in total.This will be the second one.