Day: ខែ​មករា 19, 2026

TSUKUBA, Japan, Jan 19, 2026 - (ACN Newswire via SeaPRwire.com) - 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 reuse. Traditionally, researchers have had to spend considerable time on tedious tasks, such as format conversion, metadata assignment, and characteristics extraction. These extra steps can make researchers reluctant to share data, hindering the advancement of data-driven work. The problem is made even more acute by the field’s increasing reliance on AI-driven materials discovery, which requires high-quality datasets.A highly flexible data system automatically interprets a variety of experimental data, and stores it in a format with enhanced readability for materials informatics.To address this problem, researchers at the National Institute for Materials Science (NIMS) have developed Research Data Express (RDE), a highly flexible data m......