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# Rule 7. Say how you want to get credit for your data (and software).  use If you are  a license, propose scholar, chances are that you want to get credit for the data and code you share together with your article. The attribution system 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 get an acknowledgement, an incoming link, or at most  a citation to a relative scholarly paper describing the data or code, if there is one. So, how do you go about getting the credit you deserve for your data and code? The best  way is  tocite it.   Describe  simply describe  your expectations on how you would like to be acknowledged. If you want, release your data under a licence and indicate explicitly in the paper or in the metadata how you want others to give you credit.  Requesting attribution of data products is better managed through societal and  scientific norms than legal mechanisms, which can inadvertently lead to limitations on the reuse of the data you are sharing. By all means, be clear and make it simple for others to reuse and give you credit.  For example, it is better to release your data with a computer readable license such as CC0 (CC0) (xxx link xxx)  and indicate “Please cite this data using the following reference” than to release the data using a CC-BY license.It is important to provide unique and persistent identifiers (e.g., DOI, Handles, or Sequence numbers), citable data papers, etc. [Borgman says: what's the term of art for the protein databank, for example?] This is facilitated by putting your data in a repository operated by your community, your university, or other sustainable resource. The repository normally will generate a persistent identifier, standard form of citation, and other curation benefits that will make your data more discoverable and usable.