Publishers are encouraged to offer APIs where applicable to facilitate programmatic access, particularly for large or frequently updated datasets.
It is also important to consider practical usage patterns. Users may rely on industry-standard proprietary formats for operational efficiency in specific domains, such as Geographic Information Systems (GIS). For instance:
As per the Open Data Directive, publishers should aim to meet at least three-star openness, providing data in machine-readable, non-proprietary formats, while offering additional formats that reflect real-world usage and demand.
Ultimately, the objective is to ensure data is open, accessible, and fit for purpose across a diverse range of users and applications.
Once published, your dataset may be used in various ways, often combined with other open or proprietary datasets from diverse sources. The potential applications of Open Data are extensive and continually evolving, ranging from research and policy analysis to commercial innovation and public service delivery. To support meaningful and responsible reuse, ensuring that your dataset is as interoperable as possible is essential, including:
Metadata plays a critical role in guiding appropriate use. It should clearly describe the dataset’s origin, structure, limitations, and intended scale. For example, spatial data derived from a 1:100,000 scale source should not be used for analysis at a 1:5,000 scale, as this would misrepresent the data’s accuracy. Conversely, data created at a finer scale may be generalised for broader applications.
This principle also applies to non-spatial data. The data lineage, i.e., how it was collected, processed, and transformed, should be documented to help users assess its suitability for their needs.
By providing explicit metadata and ensuring technical interoperability, you enable users to make informed decisions and maximise the value of your dataset.
Each dataset includes metadata specifying its update frequency, ranging from real-time or daily updates to monthly, annual, or ad hoc refreshes. This metadata field helps users understand how current the data is and whether it is suitable for time-sensitive applications. While the portal encourages regular updates to ensure data remains accurate and relevant, the responsibility for maintaining and refreshing datasets lies with the individual data publishers.
Users are advised to consult the metadata associated with each dataset to determine its update schedule and assess its suitability for their intended use.