For future work, several improvements can be made to the proposed framework. For example, the current framework supports only JSON-LD format, which can be extended to other semantic formats like RDF. Moreover, the maturity indicators definition can be extended to cover the units and missing values of the measured variables. For example, a field can be added to the JSON-LD schema for each measured variable with a boolean value. If there are missing values in the measure variable's column in the dataset, then the value is TRUE. Otherwise, it is false. Introducing these additions will take the framework to a new level where it can be actively used for automated data completeness assessments. Finally, currently, the maturity indicators are simple yes/no tests that check if the variable is reported or not. However, this can be extended to more complex ones (like specific experimental conditions combining multiple variables or platforms).