Building a Traceable and Sustainable Historical Climate Database: Interdisciplinarity and DRAW | Zendy

Victoria Slonosky | Zendy; Renée Sieber | Zendy

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Building a Traceable and Sustainable Historical Climate Database: Interdisciplinarity and DRAW

Author(s) -

Victoria Slonosky,

Renée Sieber

Publication year - 2020

Publication title -

patterns

Language(s) - English

Resource type - Journals

ISSN - 2666-3899

DOI - 10.1016/j.patter.2020.100012

Subject(s) - usable , observatory , climate change , proxy (statistics) , database , computer science , climate science , data science , meteorology , geography , world wide web , ecology , physics , machine learning , astrophysics , biology

Turning historical meteorological observations into usable data is a challenging process that is immeasurably enriched when it encompasses interdisciplinarity. Here, the McGill DRAW (Data Rescue: Archives and Weather) project shows how climatologists, geographers, archivists, data scientists, and coders together built a citizen-science-based transcription platform to transform the McGill Observatory paper records into a traceable and sustainable database.

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