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Computer Science > Social and Information Networks

arXiv:2509.12045 (cs)
[Submitted on 15 Sep 2025 ]

Title: Fostering cultural change in research through innovative knowledge sharing, evaluation, and community engagement strategies

Title: 通过创新的知识共享、评估和社区参与策略促进研究中的文化变革

Authors:Junsuk Rho, Jinn-Kong Sheu, Andrew Forbes, Din Ping Tsai, Andrea Alú, Wei Li, Mark Brongersma, Joonhee Choi, Javier Garcia de Abajo, Laura Na Liu, Alexander Szameit, Tracy Schloemer, Andreas Tittl, Mario Chemnitz, Cheng Wang, Jiejun Zhang, Yuri Kivshar, Tie Jun Cui, Ren-Min Ma, Cheng-Wei Qiu, Cuicui Lu, Yao-Wei Huang, Miguel Angel Solis Prosser, Ileana-Cristina Benea-Chelmus, Rachel Grange, Sungjin Kim, Anderson S.L. Gomes, Davide Ramaccia, Yating Wan, Apostolos Argyris, Antonio G. Souza Filho, Tanmoy Chandrad, Cristiano Matricardi
Abstract: Scientific research needs a new system that appropriately values science and scientists. Key innovations, within institutions and funding agencies, are driving better assessment of research, with open knowledge and FAIR (findable, accessible, interoperable, and reusable) principles as central pillars. Furthermore, coalitions, agreements, and robust infrastructures have emerged to promote more accurate assessment metrics and efficient knowledge sharing. However, despite these efforts, the system still relies on outdated methods where standardized metrics such as h-index and journal impact factor dominate evaluations. These metrics have had the unintended consequence of pushing researchers to produce more outputs at the expense of integrity and reproducibility. In this community paper, we bring together a global community of researchers, funding institutions, industrial partners, and publishers from 14 different countries across the 5 continents. We aim at collectively envision an evolved knowledge sharing and research evaluation along with the potential positive impact on every stakeholder involved. We imagine these ideas to set the groundwork for a cultural change to redefine a more fair and equitable scientific landscape.
Abstract: 科学研究需要一个适当重视科学和科学家的新体系。 关键创新,包括在机构和资助机构内部的创新,正在推动更好的研究评估,开放知识和FAIR(可查找、可访问、可互操作和可重用)原则作为核心支柱。 此外,联盟、协议和强大的基础设施已经出现,以促进更准确的评估指标和高效的知识共享。 然而,尽管有这些努力,该体系仍然依赖过时的方法,其中标准化指标如h指数和期刊影响因子主导了评估。 这些指标产生了意想不到的后果,迫使研究人员为了产出更多而牺牲诚信和可重复性。 在这篇社区论文中,我们汇集了来自五大洲14个国家的研究人员、资助机构、工业合作伙伴和出版商组成的全球社区。 我们的目标是共同构想一种进化的知识共享和研究评估,并有望对所有相关利益方产生积极影响。 我们设想这些想法为重新定义更加公平和公正的科学环境奠定基础。
Subjects: Social and Information Networks (cs.SI)
Cite as: arXiv:2509.12045 [cs.SI]
  (or arXiv:2509.12045v1 [cs.SI] for this version)
  https://doi.org/10.48550/arXiv.2509.12045
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Cristiano Matricardi [view email]
[v1] Mon, 15 Sep 2025 15:26:22 UTC (291 KB)
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