Materials research generates vast amounts of data, but the information often exists in manufacturer-specific formats and the terminology is inconsistent, making it difficult to aggregate, compare, and ...

Hosted by the Metadata Research Center at the College of Computing & Informatics (CCI) at Drexel University, Metadata Mixers offer speakers, lightning talks and discussions at the cutting edge of ...

DNA-based data storage appears to offer solutions to some of the problems created by humanity’s ever-growing capacity to create data we want to hang on to. Compared to most other media, DNA offers ...

Unpacking the next data platform is a crucial process in the constantly changing world of data and artificial intelligence. It involves understanding metadata knowledge graphs and how different layers ...

Federated multi-team CI/CD, modularized multi-repo metadata, team-based governance, and new schema registry with tracking let teams iterate independently while ensuring compliance with centralized ...

Data Science is a structured approach to extracting valuable insights from data, and it involves several key stages to ensure success. Let's explore each phase in detail: By following this structured ...

Gonzalo Arce College of Engineering — Electrical and Computer Engineering arce@udel.edu Machine learning, data science, graph signal and data processing, geometrical neural networks, statistical ...