Culture change in data management

In the emerging e-Science scenario users should be able to easily combine data resources and tools/services; and machines should automatically be able to trace paths and carry out interpretations. Users who want to participate need to move from a down-load first to a cyberinfrastructure paradigm, thus increasing their dependency on the seamless operation of all components in the Internet. Such a scenario is inherently complex and requires compliance to guidelines and standards to keep it working smoothly. The article discusses a number of dimensions that need to be considered when talking about proper data management. Based on these a number of basic principles are derived that should guide future workflows when creating, adapting and consuming research data.