Zuse Institute Berlin, Berlin, Germany.
FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Berlin, Germany.
Sci Data. 2024 Jun 22;11(1):676. doi: 10.1038/s41597-024-03480-0.
The sharing and citation of research data is becoming increasingly recognized as an essential building block in scientific research across various fields and disciplines. Sharing research data allows other researchers to reproduce results, replicate findings, and build on them. Ultimately, this will foster faster cycles in knowledge generation. Some disciplines, such as astronomy or bioinformatics, already have a long history of sharing data; many others do not. The current landscape of available systems for sharing research data is diverse. In this article, we conduct a detailed analysis of existing web-based systems, specifically focusing on mathematical research data.
研究数据的共享和引用在各个领域和学科的科学研究中越来越被视为一个重要的基础。共享研究数据可以让其他研究人员重现结果、复制发现并在此基础上进一步发展。最终,这将促进知识生成的更快周期。一些学科,如天文学或生物信息学,已经有很长的数据共享历史;而许多其他学科则没有。目前可用的研究数据共享系统的现状是多种多样的。在本文中,我们对现有的基于网络的系统进行了详细的分析,特别是针对数学研究数据。