Computing in Science & Engineering (CiSE) is calling for papers for an upcoming special issue to be published in January/February 2020. The goal of this special issue is to inform the scientific computing community about recent advances and the current state of the art in software and data citation. This issue will examine the state of software and data citation, inform the community of the excellent resources available to advance research and education goals, and inform future directions for research and implementation.

Computing in Science & Engineering is a cross-disciplinary, international publication that meets this need by presenting contributions of high interest and educational value from a variety of fields, including—but not limited to—physics, biology, chemistry, and astronomy. CiSE emphasizes innovative applications in advanced computing, simulation, and analytics, among other cutting-edge techniques. CiSE publishes peer-reviewed research articles, and also runs departments spanning news and analyses, topical reviews, tutorials, case studies, and more.

Guest editors: Daniel S. Katz (University of Illinois Urbana-Champaign), Neil Chue Hong (University of Edinburgh), Tim Clark (University of Virginia), Martin Fenner (DataCite), and Maryann E. Martone (University of California, San Diego).

CiSE is soliciting papers on topics that include, but are not limited to,

• the state-of-the-art in advancement and adoption of software and data citation,
• how software and data citation can advance discovery,
• case studies of implementing software and data citation,
• lessons learned,
• efforts in community policies and development of guidance,
• efforts to track and measure the adoption of software and data citation, and
• effective methods for addressing stakeholder requirements.

Letter of intent to submit (with abstract) deadline: 4 February 2019

Full paper submission deadline: 6 May 2019

Publication date: January/February 2020

For further information and submission guidelines, please visit Computing in Science Engineering.