Curating Covid-19 Data in Links

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.
Original languageEnglish
Title of host publicationProvenance and Annotation of Data and Processes
Number of pages7
ISBN (Electronic)978-3-030-80960-7
ISBN (Print)978-3-030-80959-1
Publication statusPublished - 9 Jul 2021
Event8th International Provenance and Annotation Workshop - Virtual
Duration: 19 Jul 202122 Jul 2021

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Workshop8th International Provenance and Annotation Workshop
Abbreviated titleIPAW 2021
Internet address


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