THE DISCOVERY OF RELATIONSHIPS AMONG SCIENTIFIC DATASETS
Zhang, Tailin
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https://hdl.handle.net/2142/125046
Description
Title
THE DISCOVERY OF RELATIONSHIPS AMONG SCIENTIFIC DATASETS
Author(s)
Zhang, Tailin
Issue Date
2020-05-01
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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