Page 176 - Journal of Library Science in China 2020 Vol.46

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Extended English abstracts of articles published in the Chinese edition of Journal of Library Science in China, Vol.46, 2020 175

FAIR-based framework for scientific data harmonization

〇a*
ZHANG Wenping〇, SONG Xiufen, WEI Yinzhen & LI Lirui
Scientific data curation activities have started to realize the reuse of scientific data since decades
ago and thus enhance the value of scientific data utility. However, there is no systematic and
comprehensive summarization of the scientific data governance and effective use of scientific data.
The architecture developed in this study integrating existing implementable solutions or proposing
new ones from multiple levels is to clarify the multi-level problems that need to be solved in
the process of scientific data governance from a global perspective, with the purpose to assist in
scientific data curation and governance.
In order to achieve this goal, this study takes the FAIR principles (Findable, Accessible,
Interoperable, Reusable) as scientific data curation basis and developed Scientific Data
Harmonization System accordingly, which consists of a four-tier stacked structure with each
consisting of specific requests of scientific data respectively, based on the explicit analysis
of the relationships between four sub-items of the FAIR principles, which embodies related
internal linkages and dependency. Based on this systematic framework, as well as the outcomes
of implementation, management and research activities imposed on the field of scientific data
management to achieve or promote the achievement of scientific data management, this study first
explores the data description model which is necessary for the fairlization of scientific data and
optimization and improvement of the data service model from the technical perspective, and then
discusses the data management plan and various standards and evaluation metrics that should be
followed during the implementation of the data fairlization from the perspective of research culture
and data management system; finally we discuss various environmental factors that may affect the
implementation of data fairlization from the perspective of the external environment.
Besides functionalizing in data fairlization, the proposed system framework maybe be used to
improve the operational practice of scientific data management for the departments of scientific
research management and researchers from different domains. It can also be used in other data
management fields, such as social media, national public service departments, etc. In addition,
practically, this study may be served as reference for the construction of regional or disciplinary
open platforms for sharing scientific data.
The limitation of this study is that the investigation of the research basis for establishing
framework of Scientific Data Harmonization System is not comprehensive enough, thus the
resulted structure is relatively abstract and with less detailed practical procedures. Our later
research work will focus on this direction to specify the operable procedures for each levels of data
curation within the system. Meanwhile, the optimization and implementation of service models,
and the impact of various other environmental and cultural factors on the integration of scientific

* Correspondence should be addressed to ZHANG Wenping, Email: zwp.wust@qq.com, ORCID: 0000-0002-4807-2490.