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Secondly, as we plan to evolve the API, and will be introducing new content types and metadata in the future, we wanted to be able to make changes to the schema without having to worry about reindexing the content, or have downtime when we do this.
If we had used one of these cited schemas, we would have had to make many changes to the schema to adapt to our needs or we would have had to store our data in a schema with weak consistency rules in the RDBMS.
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As this strategy avoids making structural changes to the XML schema, backward compatibility is maintained.
Changes to the database schema can the then be made without impact on the object classes [ 11].
First, inclusion of this CAT algorithm requires only minor changes in the logic layer of the implementations and trivial changes to the instrument schema (to reference the tree data).
And the problem carries forward not just to the initial user of the API, but in the ongoing changes to the underlying schemas that result from customization and product enhancements.
To tackle this shortcoming, we added functionality to the widely used PSI-MI interchange format for molecular interaction data by defining new controlled vocabulary terms that allow annotation of different aspects of cooperativity without making structural changes to the underlying XML schema.
This strategy avoids having to make any structural changes to the PSI-MI XML schema, keeping it backward compatible and the existing data viable, and allowing additional annotation of cooperative effects for interactions already curated in available databases.
The controlled vocabulary for interactorType currently comprises >25 terms and can be easily expanded should a user wish to describe an additional interactor type, for example phospholipids, without any change to the XML schema.
Because the strategy described here does not involve any changes to the current PSI-MI XML schema, backward compatibility is maintained.
Relational databases are much more rigid in their schemas and any change to the data schemas require a great deal of refactoring and data migration.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com