deletions | additions       diff --git a/Rule 1. Love your data.md b/Rule 1. Love your data.md  index 255ca2c..6c819eb 100644  --- a/Rule 1. Love your data.md  +++ b/Rule 1. Love your data.md 
...
# Rule 1. Love your data, and let others love it too.  Your data is a crucial legacy of your work. It has tremendous value to others, so much so that new policies declare data "an asset for progress" [Holdren 2013]. There Keeping it to yourself is questionable practice when it  is also funded by taxpayers that much prefer to see those assets fuel innovation than rot (quite literally) in a lab. Expect  a network effect, as 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. [Holdren 2013] "Increasing Public Access to the Results of Scientific Research." John Holdren, Memorandum of the US Office of Science and Technology, 22 February 2013. Available from https://petitions.whitehouse.gov/response/increasing-public-access-results-scientific-research