本文件记录了FAIR for Research Software（FAIR4RS）小组的讨论和审议，该小组重新审视了FAIR指导原则对科学数据管理和研究软件管理的适用性。我们讨论了理想的可复制的，开放的，可用的，公认的，可持续的和强大的研究软件的愿景，然后审查研究软件和数据的特性和实践的差异。这种对初始条件的愿景和理解可以作为尝试翻译和解释指导原则的背景，以更充分地与研究软件保持一致。我们发现，只要提供了大量的解释，许多原则仍然相对完整。“可找到”和“可证明”的基本原则尤其如此。我们发现，“互操作性”和“可重用性”特别容易出现广泛的，有时甚至是相反的解释。我们提出了两个新的原则模仿现有的，并提供修改后的指导性文字，这些原则，以帮助澄清我们的最终解释。在这一过程中发现了翻译方面的一系列差距，这些差距仍有待解决。最后，我们将考虑这些翻译后的原则在哪些方面与开篇所阐述的愿景有所差距。
英文摘要：
This document captures the discussion and deliberation of the FAIR for Research Software (FAIR4RS) subgroup that took a fresh look at the applicability of the FAIR Guiding Principles for scientific data management and stewardship for research software. We discuss the vision of research software as ideally reproducible, open, usable, recognized, sustained and robust, and then review both the characteristic and practiced differences of research software and data. This vision and understanding of initial conditions serves as a backdrop for an attempt at translating and interpreting the guiding principles to more fully align with research software. We have found that many of the principles remained relatively intact as written, as long as considerable interpretation was provided. This was particularly the case for the "Findable" and "Accessible" foundational principles. We found that "Interoperability" and "Reusability" are particularly prone to a broad and sometimes opposing set of interpretations as written. We propose two new principles modeled on existing ones, and provide modified guiding text for these principles to help clarify our final interpretation. A series of gaps in translation were captured during this process, and these remain to be addressed. We finish with a consideration of where these translated principles fall short of the vision laid out in the opening.
University of Calgary（卡尔加里大学）；University College London（伦敦大学学院）；University of Otago（奥塔哥大学）；Federal Rural University of Pernambuco（伯南布哥联邦农村大学）；Radboud University（拉德堡德大学）
FAIR+S: A validation study of a framework for sustainable research data and software
Carl von Ossietzky Universität Oldenburg（奥尔登堡卡尔·冯·奥西茨基大学）；OFFIS – Institute for Information Technology（OFFIS信息技术研究所）；Wilhelm Büchner Hochschule（威廉·比希纳应用科学大学）
Sensor Management System (SMS): Open-source software for FAIR sensor metadata management in Earth system sciences
Karlsruhe Institute of Technology (KIT)（卡尔斯鲁厄理工学院）；GFZ Helmholtz Centre for Geosciences（德国地球科学研究中心）；Helmholtz Centre for Environmental Research (UFZ)（亥姆霍兹环境研究中心）；German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig（德国综合生物多样性研究哈雷-耶拿-莱比锡中心）；Forschungszentrum Jülich (FZJ)（于利希研究中心）
Caching and Reproducibility: Making Data Science experiments faster and FAIRer
University of Wuppertal（伍珀塔尔大学）；FIZ Karlsruhe - Leibniz Institute for Information Infrastructure（FIZ卡尔斯鲁厄——莱布尼茨信息基础设施研究所）；National Institute of Informatics（国立信息学研究所）
Making Software FAIR: A machine-assisted workflow for the research software lifecycle
The Open University（开放大学）；CORE；Knowledge Media institute（知识媒体研究所）；Inria（法国国家信息与自动化研究所）；Science Miner；Brno University of Technology（布尔诺理工大学）；Polish Academy of Sciences（波兰科学院）；European Bioinformatics institute（欧洲生物信息研究所）
Fairness Is Not Just Ethical: Performance Trade-Off via Data Correlation Tuning to Mitigate Bias in ML Software
King's College London（伦敦国王学院）；National University of Defense Technology（国防科技大学）；Southern University of Science and Technology（南方科技大学）；The Hong Kong Polytechnic University（香港理工大学）
Comparative Separation: Evaluating Separation on Comparative Judgment Test Data
Department of Software Engineering, Rochester Institute of Technology（软件工程系，罗切斯特理工学院）；University of California, Santa Barbara（加州大学圣巴巴拉分校）；University of Vermont（佛罗里达大学）
Identity resolution of software metadata using Large Language Models
Barcelona Supercomputing Center, Barcelona, Spain（巴塞罗那超级计算中心）；Department of Biochemistry and Molecular Biology, University of Barcelona, Barcelona, Spain（生物化学与分子生物学系，巴塞罗那大学）
Towards a Metadata Schema for Energy Research Software
Department for Computer Science, Carl von Ossietzky Universität Oldenburg（奥尔登堡卡尔·冯·奥西茨基大学计算机科学系）；Energy Division, OFFIS - Institute for Information Technology（OFFIS信息技术研究所能源部）
The Reproducible Research Platform establishes a unified open science environment bridging data and software lifecycles across disciplines, from proposal to publication
ETH Zurich D-BSSE（苏黎世联邦理工学院生物系统科学与工程系）；Swiss Institute of Bioinformatics（瑞士生物信息学研究所）；ETH Zurich Scientific IT Services（苏黎世联邦理工学院科学IT服务）
