Current status and future of data curation in materials science

Abstract

There are various kinds of data; numerical data, tables, images, videos, sounds, letters, mathematical formula, network-structure data for relationship representation. In old days, referencing is to search the source of searching information. However, to find out information itself directly is requested due to the recent drastic increase of digital information. Currently, satisfactory methods for effective data search from various kinds of huge information are not established. In this article, current status of data utilization and treatments for data utilization are briefly overviewed by taking examples from materials science field.