The discovery of relationships among scientific datasets
Tailin, Zhang
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https://hdl.handle.net/2142/107760
Description
Title
The discovery of relationships among scientific datasets
Author(s)
Tailin, Zhang
Contributor(s)
Alawini, Abdussalam
Shomorony, Ilan
Issue Date
2020-05
Keyword(s)
Spreadsheet Data Management
Clustering Optimization
Relationship Prediction
Abstract
When recording experimental data in research, scientists can often accumulate thousands of
datasets, which may have different data types, formats, and styles. This can make it difficult for
scientists to select the right subsets for analysis, sharing or storing into structured databases.
Determining relationships between large file-based datasets can be very helpful for scientists who
store their datasets in file-based formats, such as spreadsheets or CSVs. In this project, we are
creating a system for predicting relationships between datasets stored in spreadsheets. With the
predicted result, we can further identify the most complete version of a dataset, link related data
elements together and discard redundant or unrelated datasets.
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