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YummyData: providing high-quality open life science data.

Yasunori Yamamoto¹, Atsuko Yamaguchi¹, Andrea Splendiani²

¹Database Center for Life Science, Research Organization of Information and Systems, Kashiwa, Japan.

Database : the Journal of Biological Databases and Curation

|April 25, 2018

Summary

This summary is machine-generated.

Researchers can now find and reuse life science datasets more easily thanks to YummyData. This platform assesses SPARQL endpoints for data quality and provides user feedback to improve Linked Data accessibility.

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Area of Science:

Bioinformatics
Data Science
Life Sciences

Background:

Life science datasets are increasingly available via Linked Data technologies, using Resource Description Framework (RDF) and SPARQL endpoints.
Interoperability challenges persist due to difficulties in discovering and assessing datasets from various providers.
Lack of centralized information on dataset quality, metadata richness, and service stability hinders researchers.

Purpose of the Study:

To develop a system for assessing and comparing Linked Data providers in the life sciences.
To improve the findability and reusability of life science datasets.
To foster adoption of Linked Data by providing a platform for feedback and awareness.

Main Methods:

Developed YummyData, a two-component system.
Component 1: Periodically polls SPARQL endpoints to monitor Linked Data implementation and content.
Component 2: Presents endpoint metrics and offers a forum for user discussion and feedback.

Main Results:

YummyData provides a centralized resource for evaluating SPARQL endpoints.
The platform assesses metrics like service stability and metadata richness.
It facilitates communication between data providers and users.

Conclusions:

YummyData enhances the discoverability and reusability of life science Linked Data.
The platform addresses the need for standardized dataset assessment and user feedback.
It aims to promote wider adoption of Linked Data in life science research.