Data Citation as a Computational Problem

Citation management ... with useful hints to maintenance of knowledge.

" .... Most information is now published in complex, structured, evolving
datasets or databases. There is increasing demand that this digital information
should be treated in the same way as conventional publications
and be appropriately cited. While principles and standards have been
developed for data citation, they are unlikely to be used unless we can
couple the process of extracting information with that of providing a citation
for it. We discuss how to generate citations automatically for data
in a database given how the data was obtained – the query – as well as
the content – the data. We show how the problem of generating a citation
is related to a well-understood problem in databases and describe this in
two examples with radically different citation requirements. ... "

Data Citation Explored

A technical problem.  Where does this data come from, a kind of metadata that is often very important but rarely addressed.  I am more interested in how this can be useful in the enterprise.  How about linking the data to a related semantic net?

" .. Citation is essential to traditional scholarship. Citations identify the cited material, help retrieve it, give credit to its creator, date it, and so on. In the context of printed materials (such as books and journals), citation is well understood. However, the world is now digital. Most scholarly and scientific resources are held online, and many are in some kind of database, or a structured, evolving collection of data. For example, most biological reference works have been replaced by curated databases, and vast amounts of basic scientific data—geospatial, astronomical, molecular, and more—are now available online. There is strong demand13,23 that these databases should be given the same scholarly status and appropriately cited, but how can this be done effectively? .... "