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# Rule 7. Say how you want to get credit for your data (and software).  If you are a scholar, chances are that you want to get credit for the data and code you share together with your article. The attribution system used for scholarly articles, accomplished via citations, often breaks in the case of data and software: when other authors reuse or cite your data or code, you may get an acknowledgement or an incoming link. If you and your colleagues have gone to the trouble to write a "data paper," describing your data and/or code, you may also get a citation. But, not "data paper" writing is not always desirable, or relevant. So, how do you go about getting the full credit you deserve for your data and code? The best way is to simply describe your expectations on how you would like to be acknowledged. If you want, you can also release your data under a licence and indicate explicitly in the paper or in the metadata how you want others to give you credit. But, while legal mechanisms have advantages, they can also inadvertently lead to limitations on the reuse of the data you are sharing. In any case, be clear and make it simple for others to reuse and give you credit. Easy-to-implement licenses, many of which offer the advantage of being machine-readable, are offered by the [Creative Commons](http://creativecommons.org/choose/) organization, as are other similar options, such as those offered by [Open Data Commons]{http://opendatacommons.org/licenses/pddl/}. Commons](http://opendatacommons.org/licenses/pddl/).