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CIRSS Seminar - Software Citation and Software Reproducibility


Friday, March 3, 2017
4pm - 5pm

126 IS

Event Details

Session leaders: Daniel S. Katz, Assistant Director for Scientific Software at NCSA and Applications and iSchool Research Associate Professor
Description: Software is a critical part of modern research and yet there is little support across the scholarly ecosystem for its citation. Inspired by the activities of the FORCE11 working group focused on data citation, the FORCE11 Software Citation Working Group has published a set Software Citation Principles (https://doi.org/10.7717/peerj-cs.86) in September 2016. This has the goal of encouraging broad adoption of a consistent policy for software citation across disciplines and venues. This presentation will discuss the principles (in brief, importance, credit and attribution, unique identification, persistence, accessibility, and specificity), how they will impact the practice of research, and they can be implemented by researchers, publishers, librarians and others who build and maintain repositories, scholars of science, university administrators, and research funders.  In addition, reproducibility of software intensive projects has a set of challenges and obstacles that are different than other projects, and this talk with also discuss the aspects of software that make reproducibility challenging.

Bio:
Daniel S. Katz has co-led the FORCE11 Software Citation Working Group and is a founding topic editor of the Journal of Open Source Software. At the University of Illinois Urbana-Champaign, he is Assistant Director for Scientific Software and Applications at the National Center for Supercomputing Applications (NCSA) and Research Associate Professor in Computer Science, Electrical and Computer Engineering, and the School of Information Sciences (iSchool). He formerly led the Software Cluster in the Division of Advanced Cyberinfrastructure as a National Science Foundation program officer. He is interested in promoting the development and use of cyberintrastructure, focused on software, to solve challenging research problems.  For more information about Daniel S. Katz, see http://danielskatz.org.


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