Abstract Online platforms serving the research community offer the potential to accelerate research efforts to solve societal challenges. Based on Semantic Web technologies, domain-specific research platforms can pave the way for a ‘digital transformation’ in science. Researchers will be able to share and analyse research data. A prerequisite for the success of such platforms is the identification and consideration of stakeholders’ requirements. However, meeting all requirements is cost-intensive. Existing funding models cannot be easily transferred to such new online platforms. With this paper, we contribute to the discussion in science and politics on how the provision of research data can be organized via online platforms in the future. As a basis, this study empirically investigated funder and user requirements of an online platform for materials research data and conducted a cost analysis to assess possible funding models that might ensure the long-term operation of these platforms.

中文翻译：

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研究数据在线平台：需求和成本分析

摘要 为研究界服务的在线平台提供了加速研究工作以解决社会挑战的潜力。基于语义网技术，特定领域的研究平台可以为科学的“数字化转型”铺平道路。研究人员将能够共享和分析研究数据。此类平台成功的先决条件是识别和考虑利益相关者的需求。然而，满足所有要求是成本密集型的​​。现有的融资模式无法轻易转移到此类新的在线平台上。通过这篇论文，我们为科学和政治界关于未来如何通过在线平台组织提供研究数据的讨论做出了贡献。作为基础，