Project Report

FAIR Principle:Make the Multimodal Data in Science & Technology Linkage Research Reliable

  • Chai Miaoling ORCID
  • Zhang Xian ORCID
  • 1. National Science Library (Chengdu), Chinese Academy of Sciences, China;2. Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, China
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Abstract

The research uses the FAIR principle from the perspective of libraries to construct a reliable data selection and evaluation model for the study of the relationship between science and technology, in order to solve the problems of insufficient utilization of other data and unclear application logic, which mainly rely on paper and patent data in current research. Three issues are discussing in the paper: the format and interaction methods of multimodal data, the construction of indicator system, and the evaluation process. The result shows that the index construction method based on metadata interoperability is beneficial for the fusion of metadata layer, and use ontology to achieve semantic fusion, and identified scientific and technological relationships by multimodal data jointly.

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Article details

Published
Section
Project Reports
DOI
10.23106/dcmi.952401345
License
CC BY 4.0 · open access

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This article's metadata, in the vocabulary these proceedings are about.

dcterms:title
FAIR Principle:Make the Multimodal Data in Science & Technology Linkage Research Reliable
dcterms:creator
Miaoling, Chai
Xian, Zhang
dcterms:date
2024-12-20
dcterms:identifier
doi:10.23106/dcmi.952401345
dcterms:publisher
Dublin Core Metadata Initiative
dcterms:type
Text
dcterms:language
en
dcterms:rights
CC BY 4.0