Survey and analysis of providers’ demands in scientific data sharing

Zhi Feng-wen et al.

Library Hi Tech (LHT)2025https://doi.org/10.1108/lht-01-2024-0045article
AJG 1
Weight
0.50

What the paper says

Purpose This paper aims to develop a demand scale from the perspective of scientific data providers and to analyze their demands, offering references for research and practice in scientific data sharing. Design/methodology/approach The initial scale was designed based on a literature review. A total of 479 valid responses from data providers were collected via questionnaires. Exploratory and confirmatory factor analyses were conducted using SPSS21.0 and AMOS23.0, followed by a discussion on practical implications. Findings Providers exhibit significant demands in all dimensions, with data security being the most urgent, followed by data management platforms and self-value realization. Additionally, the prioritization of providers’ demands varies according to their intentions to share. Originality/value The study developed a scale of providers’ demands in scientific data sharing that comprises 21 items across five dimensions: data security, data management platform, self-value realization, social and benefits return and analyzed the demand degree of providers for the above items. Finally, the paper proposes strategies from stakeholders’ perspectives to meet providers’ demands and facilitate scientific data sharing.

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https://doi.org/https://doi.org/10.1108/lht-01-2024-0045

Or copy a formatted citation

@article{zhi2025,
  title        = {{Survey and analysis of providers’ demands in scientific data sharing}},
  author       = {Zhi Feng-wen et al.},
  journal      = {Library Hi Tech (LHT)},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1108/lht-01-2024-0045},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.