Alberto Pepe edited Rule 7. Be explicit about credit.md  over 10 years ago

Commit id: 05493756d61a2e74bc4807e5e0888fae735cba58

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#Rule 7. Say how you want to get credit for your data (and software).   If you are a scholar, chances credit.   Chances  are that you want to get credit for the data and code what  you share together with your article. share.  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 whose main purpose is to describe  your data and/or code, you may also get a citation. \cite{Chavan_Penev_2011}. \cite{Chavan_Penev_2011}  But, "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 **The  best way is to simply describe your expectations on how you would like to be acknowledged. acknowledged.**  If you want, you **you  can also release your data under a licence license  and indicate explicitly in the paper or in the metadata how you want others to give you credit. 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 **make information about you (e.g. name, institution), about the data and/or code (e.g. origin, version, associated files  and make it simple for others to reuse metadata),  and give about exactly how  you credit. would like to get credit, as clear as possible.**  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/). The Appendix provides more information