Abstract
This is a personal perspective on data sharing in the context of public data releases suitable for generic analysis. These open data can be a powerful tool for expanding the science of high-energy physics, but care must be taken in when, where, and how they are utilized. I argue that data preservation even within collaborations needs additional support to maximize our science potential. Additionally, it should also be easier for non-collaboration members to engage with collaborations. Finally, I advocate that we recognize a new type of high-energy physicist: the “data physicist,” who would be optimally suited to analyze open data as well as to develop and deploy new advanced data science tools so that we can use our precious data to their fullest potential.
Cite
CITATION STYLE
Nachman, B. (2022, December 1). When, Where, and How to Open Data: a Personal Perspective. Computing and Software for Big Science. Springer Nature. https://doi.org/10.1007/s41781-022-00090-6
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