text: different constraints. Existing data may still exist only in paper format and/or be locked by closed or 
  
  unclear licenses, or not relevant anymore for future decisions. 
  
  Opening*future*data, instead, is almost always more important, useful urgent, easier and cheaper 
  
  than digitizing or even only reformatting material that in many cases is already too old to make 
  
  immediate, concrete differences. While this argument is probably not always true when we look at 
  
  Open data for transparency, it probably is when it comes to economic development. 
  
  Therefore, features and guidelines that should be present in all future data generation and 
  
  management processes include: 
  
  •  standardization: the less, obviously open, formats are used for data of the same type, the 
  
  easier it is to merge and correlate them. The formats that have to be standardized are not 
  
  only those at the pure software level. Even more important is, for example, to adopt by law 
  
  standard identificators for government suppliers, names and machine-readable identifiers of 
  
  budget voices and so on 
  
  • preparation for future digitization: new digital systems should explicitly be designed from 
  
  the beginning so that it will be possible, when non-digital records will be digitized, to add 
  
  them to the databases without modifying losses. 