Scientists often possess more data than their discovery, can we stimulate more discoveries by making this data publicly available for other riders of the science, and if yes what is the best way to do this. It’s merely not about scientific discoveries, we as scientists have a professional and moral responsibility to disseminate the scientific ideas and knowledge to the broader audience. For a long time peer reviewed publications afforded scientific researchers a means of disseminating their ideas and results for further analysis, application and innovation. Too much stress was given to document the research in form of publication units and in this process we became ignorant about the preservation and accessibility of the data from which different scientific ideas and results evolved. Publication emerged as the primary means of academic and scholarly measurement with a greater role in academic promotion, hiring and firing. At the same time there are no incentives to share the data, curate the data , and preserve the data. A series of articles published in a latest special issue of journal Nature examine the cultural, financial and technical hurdles those are coming in the way of data sharing and preservation. A thoughtful summary about the whole issue is available here. There is a general consensus and a great interest that it should be mandatory for scientific papers to explain where and how to access data and resources generated as part of the investigation, but it is not clear yet who will take the responsibility to preserve the data and make them accessible over the long term. Journals have little or no interest to host the data sets reported in the publications which means institutional involvement is a must. In order to maintain a robust software and hardware infrastructure for digital data repositories funding agencies need to ensure long-term financial support for such an initiative. Discussion also highlights an urgent need to develop better technological support to keep track of which pieces of data came from where, some kind of data digital object information (ddoi) which will help to keep eye on data citations – a information which will be eventually used to evaluate the data contribution. As the whole idea of data sharing is about facilitating data reuse, it is highly recommended to adopt principles of Creative Commons, perhaps under CC0 public domain waiver of Creative Commons. Last but not least, a rigorous training in the data and information management for the next generation of scientists will be highly productive. For interested readers, opinion articles and the editorial are free to read even you don’t have subscription to Nature.