Speaker
Peter Elmer
(Princeton University (US))
Description
High Energy Physics (HEP) is well known as a "Big Data" science, but
it should also be seen as a "Big Software" enterprise. For example, to
support the activities of the Large Hadron Collider at the European
Laboratory for Particle Physics (CERN) tens of millions of lines of code
have been written by thousands of researchers and engineers over the past
20 years.
The wider scientific community has been investigating the development of
standards for software and data citation. For software such standards
can help with the attribution of credit to individuals for their
contributions, and also provide metrics for assessing the impact of specific
software. In addition emerging expectations regarding data and software
preservation, and the reproducibility of scientific results, require
greater attention to the software and data samples used.
In this presentation, we will review current practices and initiatives
for software and data citation and attribution in HEP. We will then
explore how ideas being discussed in the wider scientific community could
be applied in HEP and what could be gained in the process.
Primary author
Peter Elmer
(Princeton University (US))
Co-authors
Brian Paul Bockelman
(University of Nebraska (US))
Kyle Stuart Cranmer
(New York University (US))
Michael David Sokoloff
(University of Cincinnati (US))
