An infrastructure with user-centered presentation data model for integrated management of materials data and services
Year: 2021
Type: article
Abstract: With scientific research in materials science becoming more data intensive and collaborative after the announcement of the Materials Genome Initiative, the need for modern data infrastructures that facilitate the sharing of materials data and analysis tools is compelling in the materials community. In this paper, we describe the challenges of developing such infrastructure and introduce an emerging architecture with high usability. We call this architecture the Materials Genome Engineering Databases (MGED). MGED provides cloud-hosted services with features to simplify the process of collecting datasets from diverse data providers, unify data representation forms with user-centered presentation data model, and accelerate data discovery with advanced search capabilities. MGED also provides a standard service management framework to enable finding and sharing of tools for analyzing and processing data. We describe MGED’s design, current status, and how MGED supports integrated management of shared data and services.
Source: npj Computational Materials
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,890
Funders: Northwestern University, National Natural Science Foundation of China, Chinese Academy of Sciences, Northwestern Polytechnical University, Central South University, Beijing University of Technology, Tsinghua University, Southwest Jiaotong University, Sichuan University, Shanghai Jiao Tong University, Beijing Institute of Technology, Centro Nacional de Investigaciones Cardiovasculares, Ministry of Industry and Information Technology of the People's Republic of China, University of Science and Technology Beijing, Institute of Chemistry, Chinese Academy of Sciences, Institute of High Energy Physics, National Key Research and Development Program of China, High Energy Physics
OpenAlex ID: W3166707680
