YummyData (in Japanese Umaka Data) is a site that lists and monitors SPARQL endpoints that provide data of interest to the biomedical community.

Sometimes it is difficult to decide which endpoint to use. YummyData helps by providing a curated list of endpoints, and by monitoring over time their availability, updates rate, standard compliance and other features that are important to data consumers.

Beyond this, YummyData provides a forum where consumers and providers of biomedical information in RDF can communicate and improve the usability of the web of (bio) data.

If you are a provider and want your resource exposed in a curated directory, or if you are a user and have issues with an endpoint, YummyData is here to help.

Days of data collection

2022

0 days without data

No. of endpoints

Unch. from last week

Active endpoints today

Unch. from yesterday

Alive rate

95%

Unch. from last week

Data entries

401 G

+8.73 G from yesterday

Scores

Data for the day of

Umaka Score

Top 5 endpoints, by Umaka Score

Score	Name	URL
95	Protein Ontology	https://sparql.proconsortium.org/virtuoso/sparql
92	Allie	http://data.allie.dbcls.jp/sparql
91	UniProt	https://sparql.uniprot.org/
90	Colil	http://colil.dbcls.jp/sparql
85	AOP-Wiki SPARQL endpoint	https://aopwiki.rdf.bigcat-bioinformatics.org/sparql

Umaka Score: what it is?

Umaka Score represents how valuable endpoints are. Umaka Score is calculated on the basis of the evaluation from the 6 aspects, Availability, Freshness, Operation, Usefulness, Validity and Performance. We also rank the ebdpoints on a scale of A to E according to the Umaka score.

#umakadata news from Twitter

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Endpoint discussions

Do you want to ask something about an endpoint? You can use the Yummydata forum on Github. You will find a issue page for each one of the endpoints we are monitoring, feel free to add to the discussion.

See all discussions

About

YummyData is a system that monitors SPARQL endpoints (and in general RDF datasets) relevant for biomedical research. It provides information such as their compliance to standards and their performance.

Examples of features that YummyData inspects are the presence of a VoID descriptor, the presence of license information, support of SPARQL1.1 or support for CORS.

Examples of the information that YummyData monitors are the endpoint uptime, the number of statements, and some measure of the amount of ontology constructs in use.