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# Rule 1. Love your data, and let others love it too.  Your data is a crucial legacy of your work, and has tremendous value for others. Expect a network effect, as data Data  management is a repeat-play game. If you take the care to make your data easily available to others, others are more likely to do the same--eventually. While we wait for this new sharing-equilibrium to be reached, you can at least take solace in the fact that you'll be able to find and reuse your own data if you treat them well. Better tools and resources for data management are becoming available, universities and research communities are investing in data repositories, and more librarians and scientists are learning data management skills. And don't think privacy concerns necessarily get in the way of data sharing--experts (see Appendix) can guide you to systems that will share data only with select groups, and sharing policies can even be set to evolve with time.