Alyssa Goodman edited Linking Data.md  over 9 years ago

Commit id: 3f726389826d16e30a9e26c14f3f767659f0fbeb

deletions | additions      

       

A great deal of public scholarly worrying (and writing) about how to offer robust, long-lived, links to data has gone on over especially the past decade (\citet[][and references therein]{Goodman_2014}). Here, we will just offer the following practical advice. **If a dataset can be assigned a long-term identifier that moves with data as it moves from one computer system to another, then such an identifier should be sought, and it should be cited in scholarly articles**. One modern version of such "persistent" identifiers are "DOIs" which use the so-called ["Handle"](http://www.handle.net) system. Details on how this system works are here: http://www.doi.org/factsheets/DOIHandle.html.   There are currently several systems that will issue DOIs when data are uploaded to a repository, including Zenodo, figshare, [Zenodo](http://zenodo.org), [figshare](http://figshare.com),  and the Dataverse. [The Dataverse](http://theastrodata.org).  Each system presently has different various advantages and disadvantages, concerning ease-of-use, richness of metadata, formats accepted, but what matters to authors and Jornal publishers is that any of these systems will issue a robust DOI for a data set that can be included as a so-called "first class" reference (like citing a Journal Article) in scholarly writing. Any modern scientific publication should adjust its practices to accept these DOIs as references, and it should encouage authors to seek these DOIs.