In the context of open science, the management of metadata is essential for promoting research data utilization. Experimental scientists are required to manage a substantial volume of experimental data, including a significant proportion of failed data. This places a considerable burden on the experimental scientists. In this paper, we outline the development of a conceptual image for a data aggregation and management infrastructure for core facilities. The infrastructure enables an automatic assignment of unique identifier and metadata, optimizing research data management of experimental scientists.

Research must be reproducible to be verifiable. Provenance, which describes how data was produced, is one of the metadata that can improve reproducibility. In this paper, we propose a method to construct the provenance of research data produced in high-performance computing (HPC) systems. Our method can construct a high-level and user-perspective provenance by integrating information available in HPC systems, such as a workload manager, with low-level data about running programs' behavior captured in an operating system kernel. The method enables users of HPC systems to collect the provenance without modifying assets such as programs and scripts.