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Curating Covid-19 data in Links
arXiv - CS - Programming Languages Pub Date : 2021-06-01 , DOI: arxiv-2106.00412
Vashti Galpin, James Cheney

Curated scientific databases play an important role in the scientific endeavour and support is needed for the significant effort that goes into their creation and maintenance. This demonstration and case study illustrate how curation support has been developed in the Links cross-tier programming language, a functional, strongly typed language with language-integrated query and support for temporal databases. The chosen case study uses weekly released Covid-19 fatality figures from the Scottish government which exhibit updates to previously released data. This data allows the capture and query of update provenance in our prototype. This demonstration will highlight the potential for language-integrated support for curation to simplify and streamline prototyping of web-applications in support of scientific databases

中文翻译:

在链接中管理 Covid-19 数据

精心策划的科学数据库在科学努力中发挥着重要作用,需要对其创建和维护的重大努力提供支持。此演示和案例研究说明了如何在 Links 跨层编程语言中开发管理支持,这是一种功能性强类型语言,具有语言集成查询和对时态数据库的支持。所选案例研究使用苏格兰政府每周发布的 Covid-19 死亡数据,这些数据展示了对先前发布数据的更新。这些数据允许在我们的原型中捕获和查询更新来源。该演示将突出语言集成支持管理的潜力,以简化和简化网络应用程序的原型设计以支持科学数据库
更新日期:2021-06-02
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