During the uploading process, the EUR Data Repository will prompt you to add a few descriptive elements to your data. These descriptive elements are important because they help other researchers get a good idea about what your dataset is about and will help other researchers decide whether to use your dataset.
Compare it to reading through the title, abstract, and keywords of a paper; if these aren’t clear or comprehensive, you might choose to not retrieve the paper in full text. This decreases the chances of your data being read and cited. Remember, how you describe your data determines how visible, findable, and reusable the data is.
Also pay attention to keywords, which are often used to search for papers and data that are potentially eligible for reading and re-using. To help you on your way, see what keywords are used in the papers you have read or cited in your research, or browse through the keywords, and their alternatives, listed in a database that you frequently use. Make sure you include keywords not only on the topic of your paper, but also on the methodology, the study population, or the setting. This makes it findable through different types of queries. The same principle applies to the title and abstract of your data.
The descriptive elements that are asked for during the uploading process are: Title, Author(s), Point of Contact, Description, Subject, Topic Classification, Data Type, Keyword(s), Funding Information, Related Publication(s), License, and Embargo.