A series of recommendations will be formulated based on the experience gained in activities 1 through 3. The recommendations will be presented to and discussed with stakeholders and the broader open data community with the aim of presenting both the recommendations and feedback in a report.
INSPIRE maintains in its data models some non-mandatory attributes to adapt to the needs of each country. However, this flexibility is sometimes used to avoid the effort of providing all the available data, providing only those that are strictly mandatory. This practice avoids the fine but significantly decreases the data usability. This is the case of e.g. the lack of information for the numberOfDwelling attribute in the Buildings Theme's Datasets.
It is important to highlight that, the effort of providing as many attributes as possible, radically increases the usability of the data provided.
INSPIRE maintains in its data models some non-mandatory attributes to adapt to the needs of each country. However, this flexibility is sometimes used to avoid the effort of providing all the available data, providing only those that are strictly mandatory. This practice avoids the fine but significantly decreases the data usability. This is the case of e.g. the lack of information for the numberOfDwelling attribute in the Buildings Theme's Datasets.
It is important to highlight that, the effort of providing as many attributes as possible, radically increases the usability of the data provided.