1. Building a CMMI Data Infrastructure
February 6-7, 2017
Name: Tamas Budavari
Title: Assistant Professor
Institution: The Johns Hopkins University
Research Interests:
Computational statistics; Bayesian inference
Low-dimensional embeddings;
Parallel processing on GPUs
Scientific databases
Data you could provide to a
Data Repository
All publically releasable data from the MEDE program,
i.e., after it has been cleared internally. That includes
experimental and simulation data on materials from
characterization and discovery experiments.
Major challenges to building a
shared CMMI Data Repository:
Cultural change; Easy-to-use solutions; Standardized transfers
What you hope to get from this Workshop:
Very much look forward to lively discussion on data storage and access in theory and practice