PARIS原则：开放协作环境下科学数据的可用性

doi:10.11959/j.issn.2096-0271.2023013

摘要/Abstract

摘要： 科学数据利用的需求日益迫切，且在“第四范式”、“融合科学”等新型科研范式带来的开放协作环境下呈现出跨边界、端到端、动态性和协作化的特征。作为“数据仓储时代”的产物，FAIR、TRUST原则已无法为开放协作环境下科学数据的高效利用提供深入的指导。本文详细分析了科学数据利用的典型场景，提出开放协作环境下促进科学数据利用的PARIS原则：可处理（Processable）、可问答（Askable）、可信赖（Reliable）、可联合（Incorporable）与可供给（Suppliable），并重点分析了PARIS原则对科学数据可用性的促进作用。最后，本文探讨了实现PARIS原则可参考的技术路径。作为FAIR、TRUST原则的有益扩展，期望PARIS原则能有效提升科学数据的可用性。

关键词:

FAIR原则, TRUST原则, PARIS原则, 数据利用, 数据可用性

Abstract:

The demand for scientific data utilization is increasingly urgent, and in the open environment brought by the new scientific research paradigms such as "Fourth Paradigm" and "Convergence Science", the data utilization shows the characteristics of cross-the-boundary, end-to-end, dynamic and collaborative. As products of the "era of data repository", the FAIR and TRUST principles can no longer provide in-depth guidance for the efficient use of scientific data in the open environment. This paper analyzes the typical scenarios of scientific data utilization in detail. Then, it presents the PARIS principles to promote scientific data utilization: Processable, Askable, Reliable, Incorporable, and Suppliable. Finally, this paper gives a technical practice path that the PARIS principles can refer to. As beneficial extensions of the FAIR and TRUST principles, it is expected that the PARIS principles can effectively improve the usability of scientific data.

Key words:

FAIR principles, TRUST principles, PARIS principles, data utilization, data usability

沈志宏, 张晓林, 郑晓欢. PARIS原则：开放协作环境下科学数据的可用性[J]. 大数据, doi: 10.11959/j.issn.2096-0271.2023013.

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