Integrated data management
Key points
- Integrated data management supposes building any new data management process relying on existing systems
- Rules and strategies should be adopted with the stakeholders who produce and manage data
- An analysis of the existing situation can avoid duplication and create synergies
- Elements of a common language are required to insure data comparability
- New Internet technologies facilitate the development of interoperability (automatic data exchanges) between existing information systems
When working at regional, transboundary, national or basin level, the creation of a water information system to produce information never starts from scratch.
The following always already exist:
- Data producers with their own staff and data-collection procedures;
- Operational information systems with specific procedures and data structures for digitizing/controlling/archiving/processing the data;
- Data/information exchanges between organizations following specific procedures.
Therefore, in order to build on existing systems and not reinvent the wheel when organizing a new water data management process, the following are recommended:
- Adopt some basic principles to ensure successful cooperation between actors;
- Start with a diagnostic phase that could help to identify:
- The real needs to be covered in terms of information production;
- The actors/institutions involved in data production/ management and information use and their specific roles;
- The datasets that exist and the information systems already set up, and the conditions to access and use the data (level of confidentiality, technical conditions of access, etc.);
- The existing data and information flows already established between the partners;
- Partners’ needs in terms of data access, reinforcement of their tools, developing the capacity of their human resources, and what could encourage them to participate in a process of regular data exchange.
In many cases, it might also be important to: