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Title: Automated Metadata Enhancement for Physical Sample Record Aggregation in the iSamples Project
Large amounts of samples have been collected and stored by different institutions and collections across the world. However, even the most carefully curated collections can appear incomplete when aggregated. To solve this problem and support the increasing multidisciplinary science conducted on these samples, we propose a method to support the FAIRness of the aggregation by augmenting the metadata of source records. Using a pipeline that is a combination of rule‐based and machine learning‐based procedures, we predict the missing values of the metadata fields of 4,388,514 samples. We use these inferred fields in our user interface to improve the reusability.  more » « less
Award ID(s):
2004562
PAR ID:
10531420
Author(s) / Creator(s):
; ; ; ;
Publisher / Repository:
Wiley
Date Published:
Journal Name:
Proceedings of the Association for Information Science and Technology
Volume:
60
Issue:
1
ISSN:
2373-9231
Page Range / eLocation ID:
1131 to 1133
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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