Data Management and Analysis to Advance Solid Phase Processing (2021 – 2022)
PI: Mohammad Taufique (formerly Ram Devanathan)
The scale and speed of data generated by modern scientific experiments have constantly challenged the research community to store, curate, manage, and optimally use it to drive scientific discoveries. In this project, we have developed a data archive and portal platform, including analytics capabilities, to collect, curate, and manage data and metadata stream for SPP techniques. We successfully hosted around ~347K files of data related to processing parameters, microscopic images, and spectroscopic data related to SPP. The data archive and portal platform for SPP will establish an enduring capability to support machine learning and grow collaboration at the intersection of materials science and data science.