Can't find what you’re looking for? Below are some tips to improve your search query and find the data you need. For more information about individual search filters, please click the Questionmark Icon icons on the search page.

Illustration Missing Metadata

Metadata Completeness

OpenDaL depends on information from other data portals, which is not always complete. Although we strive to detect missing information, even when it’s not explicitly published, not all datasets will have extensive metadata such as a subject, location or dates attached to them. Therefore, if you search for datasets with a specific subject, location or creation date, you may get only very little results. In this case, it can help to loosen your search criteria, for example by dropping some requirements, or entering some of them as keywords. For example you can search for the keyword budget instead of the subject. Since all datasets in OpenDaL have a title, and most have descriptions, this is likely to generate more results.

Layered Queries

Illustration Layered List

For both the 'Type' and 'Subject' fields, OpenDaL uses a layered system. For example, if you select the subject Macro Economy, results about underlying subjects (such as Employment, Economic Development and Income) are also included. In the unfiltered subject list, you can see what subjects are included in others, from their indentation. The 'Type' field is layered similarly. For example, a search for a Dataset also includes Dataset:Geographic, Dataset:Timeseries, and more. In case you don't find the data you're looking for when searching for a very specific (low layer) subject, it may be better to search using a higher layer. In some data portals for example, data about Trade data may be classified as the more general subject Economy.

Other Questions?

For other questions about OpenDaL, please contact [email protected]