In the present academic landscape, the process of collecting data is slow, and the lax infrastructures for data collaborations lead to significant delays in coming up with and disseminating conclusive findings. Therefore, there is an increasing need for a secure, scalable, and trustworthy data-sharing ecosystem that promotes and rewards collaborative data-sharing efforts among researchers, and a robust incentive mechanism is required to achieve this objective. Reputation-based incentives, such as the h-index, have historically played a pivotal role in the academic community. However, the h-index suffers from several limitations. This paper introduces the SCIENCE-index, a blockchain-based metric measuring a researcher's scientific contributions. Utilizing the Microsoft Academic Graph and machine learning techniques, the SCIENCE-index predicts the progress made by a researcher over their career and provides a soft incentive for sharing their datasets with peer researchers. To incentivize researchers to share their data, the SCIENCE-index is augmented to include a data-sharing parameter. DataCite, a database of openly available datasets, proxies this parameter, which is further enhanced by including a researcher's data-sharing activity. Our model is evaluated by comparing the distribution of its output for geographically diverse researchers to that of the h-index. We observe that it results in a much more even spread of evaluations. The SCIENCE-index is a crucial component in constructing a decentralized protocol that promotes trust-based data sharing, addressing the current inequity in dataset sharing. The work outlined in this paper provides the foundation for assessing scientific contributions in future data-sharing spaces powered by decentralized applications.
翻译:在当今的学术环境中,数据收集过程缓慢,松散的数据协作基础设施导致产生和传播决定性发现的时间延迟。因此,迫切需要一个安全、可扩展、可信的数据共享生态系统,促进并奖励研究者之间的协作数据分享努力,需要强大的激励机制来实现这一目标。声誉基础激励机制,如h指数,在学术界历来发挥着重要作用。但是,h指数存在许多局限性。本文介绍了SCIENCE指数,它是一个基于区块链的指标,衡量研究人员的科学贡献。利用微软学术图和机器学习技术,SCIENCE指数预测研究人员在其职业生涯中的进展,并为其与同行研究人员分享数据提供软性激励。为了激励研究人员分享数据,SCIENCE指数增加了一个数据共享参数。DataCite是一个公开可用数据集的数据库,代理了此参数,并通过包括研究人员的数据共享活动来进一步增强。我们通过比较其输出的分布与h指数的地理多样化的研究人员相比,评估了我们的模型。我们观察到它产生了更均匀的评估分布。 SCIENCE指数是构建促进基于信任的数据共享的去中心化协议的关键组成部分,解决了数据集共享中当前的不平等问题。本文所概述的工作为评估未来由去中心化应用程序驱动的数据共享空间中的科学贡献提供了基础。