Data integration

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Data integration


This page is a placeholder, or under current development; it is here principally to establish the logical framework of the site. The material on this page is correct, but incomplete.


Data integration discusses how data elements are connected (tightly or loosely); combining datasets to improve annotation quality; principles of evidence combination; ontologies.


Contents

Cross referencing

Biological identifiers can cross reference each other IF their semantics allow mapping from one to the other...


Evidence combination

Annotation quality can be improved if evidence can be used from varying sources. But how can such evidence be weighted and combined? How can confidence scores be constructed?


Ontologies

Ontologies describe the semantics of a field of knowledge. They are indispensable for data integration across non-uniform databases. Read more about Ontologies here.


Introductory reading



Exercises



References



Further reading and resources