A Comprehensive Approach to Ensuring Quality in Spreadsheet-Based Metadata
CoRR(2023)
摘要
While scientists increasingly recognize the importance of metadata in
describing their data, spreadsheets remain the preferred tool for supplying
this information despite their limitations in ensuring compliance and quality.
Various tools have been developed to address these limitations, but they suffer
from their own shortcomings, such as steep learning curves and limited
customization. In this paper, we describe an end-to-end approach that supports
spreadsheet-based entry of metadata while providing rigorous compliance and
quality control. Our approach employs several key strategies, including
customizable templates for defining metadata, integral support for the use of
controlled terminologies when defining these templates, and an interactive
Web-based tool that allows users to rapidly identify and fix errors in the
spreadsheet-based metadata they supply. We demonstrate how this approach is
being deployed in a biomedical consortium to define and collect metadata about
scientific experiments.
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