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Thursday, October 17 • 10:30am - 11:00am
Comparing and analyzing the implementation of data citation and software citation

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In 2014, a set of data citation principles (https://doi.org/10.25490/a97f-egyk) were published, followed in 2016 by a set of software citation principles (https://doi.org/10.7717/peerj-cs.86). Both were produced by working groups that included researchers, publishers, funders and librarians, and the software citation group loosely followed the same process as the data citation group. Now, both citation communities have moved on from principles to implementation.

As we examine the progress made by both groups, it becomes clear that some elements of data citation and software citation are similar, such as the need to define appropriate metadata, to work with various groups of stakeholders to understand their specific needs, and to provide guidance and incentives that are customized for these stakeholders. It is also clear that some elements are different - this is partly due to the fundamental differences between software and data, but other factors include the differences in how they are developed, maintained and reused.

This talk is a collaboration between members of the two working groups. The talk will cover the current state of both areas, the similarities and differences, and how these similarities and differences can impact the communities involved. The talk will also consider possibilities for future progress, both in these areas and in other types of citation.

avatar for Daniel S. Katz

Daniel S. Katz

Assistant Dir. for Scientific Software & Applications, NCSA; Research Assoc. Prof., CS, ECE, iSchool, University of Illinois

Thursday October 17, 2019 10:30am - 11:00am BST
Presidents Room