  Statistics Netherlands (CBS) hosted a huge amount of data not only on the
statistical level but also on the individual level. With the development of
data science technologies, more and more researchers request to conduct their
research by using high-quality individual data from CBS (called CBS Microdata)
or combining them with other data sources. Making great use of these data for
research and scientific purposes can tremendously benefit the whole society.
However, CBS Microdata has been collected and maintained in different ways by
different departments in and out of CBS. The representation, quality, metadata
of datasets are not sufficiently harmonized. The project converts the
descriptions of all CBS microdata sets into one knowledge graph with
comprehensive metadata in Dutch and English using text mining and semantic web
technologies. Researchers can easily query the metadata, explore the relations
among multiple datasets, and find the needed variables. For example, if a
researcher searches a dataset about "Age at Death" in the Health and Well-being
category, all information related to this dataset will appear including
keywords and variable names. "Age at Death" dataset has a keyword - "Death".
This keyword will lead to other datasets such as "Date of Death". "Cause of
Death", "Production statistics Health and welfare" from Population, Business
categories, and Health and well-being categories. This will tremendously save
time and costs for the data requester but also data maintainers.
