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 so-called research data repositories is diverse. This review aims to perform a technology review on existing data repositories/portals with a focus on mathematical research data.

翻译：研究数据的共享与引用正日益被公认为各学科领域科学研究的关键基石。共享研究数据可令其他研究者重现成果、复证发现并在此基础上持续推进研究。这最终将加速知识生成的周期。部分学科（如天文学、生物信息学）已长期开展数据共享实践，但许多其他学科尚未建立这一机制。当前所谓研究数据仓储的生态体系呈现多样化特征。本综述旨在聚焦数学研究数据，对现有数据仓储/门户平台进行技术性调研。