These fields have been supported by, and have actively developed, cloud-based computing and storage tools such as Github, Zenodo, FigShare, etc. Data science tools and approaches also have the potential to transform bench science like electrochemistry. The critical need is to build a community of electrochemical data scientists, the people who will contribute to a growing library of shared experimental and computational datasets, and who develop and adapt open source software tools.
To apply to be considered for a spot at this first-ever hack day, those interested should visit http://www.electrochem.org/232/hack-day/. Application deadline is September 15, 2017.