In the last years science encountered a shift in paradigm how to handle and manage research data. Funding organizations demand data management plans from scientist when handing in a proposal. Secondary data analysis becomes more prominent to enable processes supporting good scientific practice. In theory this sounds like the Golden Age for Data Managers and Data Librarians, but does this really reveal the true story? This talk takes the Swiss perspective of current proceedings in selected data management projects on a national and international level. How was the theoretical basis put into practice? Which infrastructure projects do exist and were they successful? Is it better to fund small individual infrastructures or go for a "jack of all trades" approach? Answers to these questions will be crucial on a strategical level for Switzerland and very likely also for all other countries.