Towards Development of University-wide Data Aggregation and Management Infrastructure for Research Data Utilization

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.

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Published
2024-09-16
DOI
https://doi.org/10.1109/e-science62913.2024.10678692
Primary Topic
Research Data Management Practices
Type
article
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Towards Development of University-wide Data Aggregation and Management Infrastructure for Research Data Utilization

Susumu Date, Takeo Hosomi, Naoto Kai, Hiroshi Furutani et al.
Research Data Management Practices
article

Towards Development of University-wide Data Aggregation and Management Infrastructure for Research Data Utilization

Susumu Date, Takeo Hosomi, Naoto Kai, Hiroshi Furutani, Kaname Harumoto, Hideyuki Tanushi
article en

Abstract

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.

Osaka University of Economics (JP), The University of Osaka (JP)
Industry, innovation and infrastructure
Openalex Percentile: Top 75%
Research Data Management Practices
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Towards Development of University-wide Data Aggregation and Management Infrastructure for Research Data Utilization — Susumu Date, Takeo Hosomi, et al. · (2024) | TGRS Research Map | TGRS