Research involving human data requires the creation of multiple documents with overlapping information. These documents contain several shared fields, from project title to data types and legal bases, leading to repetitive data entry by researchers. Additionally, researchers have demonstrated difficulties in addressing GDPR-related inquiries. Data Stewardship Wizard (DSW) proved to be a valuable tool for researchers in executing such duties, as it poses specific, granular questions with predefined answers and detailed guidelines. However, maintenance of several documents with overlapping information requires substantial efforts from data stewards.
To address these issues, we propose leveraging existing ontologies to describe shared fields.
Specifically, the goals of the project are as follows:
- To define data elements that will facilitate support and sharing of information between documents.
- To select appropriate ontologies to describe the identified data elements.
- To annotate knowledge models in the DSW with arbitrary key-value pairs.
- To develop templates that can export these shared data in a machine-actionable format, such as Resource Description Framework (RDF).
- To implement project importers that support the import of selected data into DSW questionnaires.
The project would benefit from the following contributors:
- ontology experts;
- data stewards;
- DSW users;
- anyone involved with project administrative documents.
Project lead: Marina Popleteeva, Université du Luxembourg, Luxembourg Centre for Systems Biomedicine,